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Kaushik Roy 0001
Person information
- affiliation: Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Kaushik Roy — disambiguation page
- Kaushik Roy 0002 — North Carolina A&T State University, Cyber Defense and AI Lab, Department of Computer Science, Greensboro, NC, USA (and 1 more)
- Kaushik Roy 0003
— North Carolina State University, Raleigh, NC, USA
- Kaushik Roy 0004 — West Bengal State University, Barasat, India
- Kaushik Roy 0005 — RV College of Engineering, Bangalore, India
- Kaushik Roy 0006 — University of Windsor, Canada
- Kaushik Roy 0007 — Stanford University, Stanford, CA, USA
- Kaushik Roy 0008
— Sungkyunkwan University, MOPIC, R&B Center, Suwon-si, South Korea (and 1 more)
- Kaushik Roy 0009
— University of South Carolina, Department of computer science, AI Institute, Columbia, SC, USA
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2020 – today
- 2025
- [j286]Marco Paul E. Apolinario, Kaushik Roy:
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks. Trans. Mach. Learn. Res. 2025 (2025) - [j285]Amitangshu Mukherjee, Timur Ibrayev, Kaushik Roy:
On Inherent Adversarial Robustness of Active Vision Systems. Trans. Mach. Learn. Res. 2025 (2025) - [j284]Gobinda Saha, Kaushik Roy:
Amphibian: A Meta-Learning Framework for Rehearsal-Free, Fast Online Continual Learning. Trans. Mach. Learn. Res. 2025 (2025) - [j283]Chun Tao, Timur Ibrayev, Kaushik Roy:
Semantic-Syntactic Discrepancy in Images (SSDI): Learning Meaning and Order of Features from Natural Images. Trans. Mach. Learn. Res. 2025 (2025) - [c526]Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy:
SAP: Corrective Machine Unlearning with Scaled Activation Projection for Label Noise Robustness. AAAI 2025: 17930-17937 - [c525]Shubham Negi
, Utkarsh Saxena
, Deepika Sharma
, Kaushik Roy
:
HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads. ASP-DAC 2025: 648-655 - [c524]Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat, Nastaran Darabi, Divake Kumar, Adarsh Kumar Kosta, Yeshwanth Venkatesha, Dinithi Jayasuriya, Nethmi Jayasinghe, Priyadarshini Panda, Saibal Mukhopadhyay, Kaushik Roy:
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. DATE 2025: 1-10 - [c523]Arjun Roy, Kaushik Roy:
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain. ICLR 2025 - [c522]Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy:
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data. WACV 2025: 7731-7741 - [c521]Marco Paul E. Apolinario
, Arani Roy, Kaushik Roy:
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization. WACV 2025: 7807-7816 - [i184]Adarsh Kumar Kosta, Amogh Joshi
, Arjun Roy, Rohan Kumar Manna, Manish Nagaraj, Kaushik Roy:
TOFFE - Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking. CoRR abs/2501.12482 (2025) - [i183]Amogh Joshi
, Sourav Sanyal, Kaushik Roy:
Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge. CoRR abs/2501.19259 (2025) - [i182]Marco Paul E. Apolinario, Kaushik Roy, Charlotte Frenkel:
TESS: A Scalable Temporally and Spatially Local Learning Rule for Spiking Neural Networks. CoRR abs/2502.01837 (2025) - [i181]Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat
, Nastaran Darabi, Divake Kumar, Adarsh Kumar Kosta, Yeshwanth Venkatesha, Dinithi Jayasuriya, Nethmi Jayasinghe, Priyadarshini Panda, Saibal Mukhopadhyay, Kaushik Roy:
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges. CoRR abs/2502.02692 (2025) - [i180]Sourav Sanyal, Amogh Joshi, Manish Nagaraj, Rohan Kumar Manna, Kaushik Roy:
Energy-Efficient Autonomous Aerial Navigation with Dynamic Vision Sensors: A Physics-Guided Neuromorphic Approach. CoRR abs/2502.05938 (2025) - [i179]Dong Eun Kim, Tanvi Sharma, Kaushik Roy:
Hardware-Software Co-Design for Accelerating Transformer Inference Leveraging Compute-in-Memory. CoRR abs/2502.12344 (2025) - [i178]Jimmy Gammell, Anand Raghunathan, Abolfazl Hashemi, Kaushik Roy:
Learning to Localize Leakage of Cryptographic Sensitive Variables. CoRR abs/2503.07464 (2025) - [i177]Sourav Sanyal, Amogh Joshi, Adarsh Kosta, Kaushik Roy:
Real-Time Neuromorphic Navigation: Guiding Physical Robots with Event-Based Sensing and Task-Specific Reconfigurable Autonomy Stack. CoRR abs/2503.09636 (2025) - [i176]Manish Nagaraj, Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy:
Finding the Muses: Identifying Coresets through Loss Trajectories. CoRR abs/2503.09721 (2025) - [i175]Shristi Das Biswas, Efstathia Soufleri, Arani Roy, Kaushik Roy:
Towards Scalable Modeling of Compressed Videos for Efficient Action Recognition. CoRR abs/2503.13724 (2025) - [i174]Sangmin Yoo, Amod Holla, Sourav Sanyal, Dong Eun Kim, Francesca Iacopi, Dwaipayan Biswas, James Myers, Kaushik Roy:
TAXI: Traveling Salesman Problem Accelerator with X-bar-based Ising Macros Powered by SOT-MRAMs and Hierarchical Clustering. CoRR abs/2504.13294 (2025) - 2024
- [j282]Manish Nagaraj
, Isha Garg
, Kaushik Roy
:
TOFU: Toward Obfuscated Federated Updates by Encoding Weight Updates Into Gradients From Proxy Data. IEEE Access 12: 57209-57224 (2024) - [j281]Sayeed Shafayet Chowdhury
, Soumyadeep Chandra, Kaushik Roy
:
Toward Visual Syntactical Understanding. IEEE Access 12: 64360-64375 (2024) - [j280]Revathy Venkataramanan, Aalap Tripathy, Tarun Kumar, Sergey Serebryakov, Annmary Justine, Arpit Shah, Suparna Bhattacharya, Martin Foltin, Paolo Faraboschi, Kaushik Roy, Amit P. Sheth:
Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. Frontiers Big Data 7 (2024) - [j279]Lei Deng, Huajin Tang, Kaushik Roy:
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II. Frontiers Comput. Neurosci. 18 (2024) - [j278]Andrea Soltoggio
, Eseoghene Ben-Iwhiwhu
, Vladimir Braverman, Eric Eaton, Benjamin Epstein, Yunhao Ge, Lucy Halperin, Jonathan P. How, Laurent Itti, Michael A. Jacobs
, Pavan Kantharaju, Long Le
, Steven Lee, Xinran Liu, Sildomar T. Monteiro
, David Musliner, Saptarshi Nath
, Priyadarshini Panda, Christos Peridis, Hamed Pirsiavash, Vishwa S. Parekh, Kaushik Roy
, Shahaf S. Shperberg, Hava T. Siegelmann
, Peter Stone
, Kyle Vedder, Jingfeng Wu
, Lin Yang, Guangyao Zheng, Soheil Kolouri:
A collective AI via lifelong learning and sharing at the edge. Nat. Mac. Intell. 6(3): 251-264 (2024) - [j277]Guoqi Li
, Lei Deng
, Huajin Tang
, Gang Pan
, Yonghong Tian
, Kaushik Roy
, Wolfgang Maass
:
Brain-Inspired Computing: A Systematic Survey and Future Trends. Proc. IEEE 112(6): 544-584 (2024) - [j276]Guoqi Li
, Lei Deng
, Huajin Tang
, Gang Pan
, Yonghong Tian
, Kaushik Roy
, Wolfgang Maass
:
Corrections to "Brain-Inspired Computing: A Systematic Survey and Future Trends". Proc. IEEE 112(12): 1850 (2024) - [j275]Sourav Sanyal
, Rohan Kumar Manna
, Kaushik Roy
:
EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner. IEEE Robotics Autom. Lett. 9(3): 2080-2087 (2024) - [j274]Amitangshu Mukherjee
, Isha Garg
, Kaushik Roy
:
Encoding Hierarchical Information in Neural Networks Helps in Subpopulation Shift. IEEE Trans. Artif. Intell. 5(2): 827-838 (2024) - [j273]Buddhi Wickramasinghe
, Gobinda Saha
, Kaushik Roy
:
Continual Learning: A Review of Techniques, Challenges, and Future Directions. IEEE Trans. Artif. Intell. 5(6): 2526-2546 (2024) - [j272]Guoqi Li
, Emre Neftci
, Rong Xiao
, Pablo Lanillos
, Kaushik Roy
:
Guest Editorial: Special Issue on Advancing Machine Intelligence With Neuromorphic Computing. IEEE Trans. Cogn. Dev. Syst. 16(5): 1623-1625 (2024) - [j271]Buddhi Wickramasinghe
, Sayeed Shafayet Chowdhury
, Adarsh Kumar Kosta
, Wachirawit Ponghiran
, Kaushik Roy
:
Unlocking the Potential of Spiking Neural Networks: Understanding the What, Why, and Where. IEEE Trans. Cogn. Dev. Syst. 16(5): 1648-1663 (2024) - [j270]Timur Ibrayev
, Amitangshu Mukherjee
, Sai Aparna Aketi
, Kaushik Roy
:
Toward Two-Stream Foveation-Based Active Vision Learning. IEEE Trans. Cogn. Dev. Syst. 16(5): 1843-1860 (2024) - [j269]Nitin Rathi
, Kaushik Roy
:
LITE-SNN: Leveraging Inherent Dynamics to Train Energy-Efficient Spiking Neural Networks for Sequential Learning. IEEE Trans. Cogn. Dev. Syst. 16(6): 1905-1914 (2024) - [j268]Marco Paul E. Apolinario
, Adarsh Kumar Kosta
, Utkarsh Saxena
, Kaushik Roy
:
Hardware/Software Co-Design With ADC-Less In-Memory Computing Hardware for Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. 12(1): 35-47 (2024) - [j267]Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy:
CoDeC: Communication-Efficient Decentralized Continual Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j266]Sangamesh Kodge, Gobinda Saha, Kaushik Roy:
Deep Unlearning: Fast and Efficient Gradient-free Class Forgetting. Trans. Mach. Learn. Res. 2024 (2024) - [j265]Deepak Ravikumar, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy:
Homogenizing Non-IID Datasets via In-Distribution Knowledge Distillation for Decentralized Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j264]Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy:
DP-ImgSyn: Dataset Alignment for Obfuscated, Differentially Private Image Synthesis. Trans. Mach. Learn. Res. 2024 (2024) - [c520]Shrihari Sridharan
, Surya Selvam
, Kaushik Roy
, Anand Raghunathan
:
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms. DAC 2024: 336:1-336:6 - [c519]Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Deepika Sharma, Marco Paul E. Apolinario, Kaushik Roy:
Unearthing the Potential of Spiking Neural Networks. DATE 2024: 1-6 - [c518]Kang He, Yinghan Long, Kaushik Roy:
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models. EMNLP (Findings) 2024: 12673-12691 - [c517]Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy:
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression. EMNLP (Findings) 2024: 15332-15344 - [c516]Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy:
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. Tiny Papers @ ICLR 2024 - [c515]Isha Garg, Deepak Ravikumar, Kaushik Roy:
Memorization Through the Lens of Curvature of Loss Function Around Samples. ICML 2024 - [c514]Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy:
Unveiling Privacy, Memorization, and Input Curvature Links. ICML 2024 - [c513]Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy:
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation. IROS 2024: 2696-2703 - [c512]Amogh Joshi
, Wachirawit Ponghiran, Adarsh Kosta, Manish Nagaraj, Kaushik Roy:
FEDORA: A Flying Event Dataset fOr Reactive behAvior. IROS 2024: 5859-5866 - [c511]Nirmoy Modak
, Kaushik Roy
:
Energy Efficiency Through In-Sensor Computing: ADC-less Real-Time Sensing for Image Edge Detection. ISLPED 2024: 1-6 - [c510]Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy:
OPEL: Optimal Transport Guided ProcedurE Learning. NeurIPS 2024 - [c509]Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy:
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature. NeurIPS 2024 - [c508]Sai Aparna Aketi, Kaushik Roy:
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data. WACV 2024: 12-21 - [c507]Shristi Das Biswas, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario
, Kaushik Roy:
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. WACV 2024: 5952-5962 - [i173]Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy:
Towards Visual Syntactical Understanding. CoRR abs/2401.17497 (2024) - [i172]Chun Tao, Timur Ibrayev, Kaushik Roy:
Towards Image Semantics and Syntax Sequence Learning. CoRR abs/2401.17515 (2024) - [i171]Kang He, Yinghan Long, Kaushik Roy:
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models. CoRR abs/2402.10353 (2024) - [i170]Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy:
Unveiling Privacy, Memorization, and Input Curvature Links. CoRR abs/2402.18726 (2024) - [i169]Sai Aparna Aketi, Sakshi Choudhary, Kaushik Roy:
Averaging Rate Scheduler for Decentralized Learning on Heterogeneous Data. CoRR abs/2403.03292 (2024) - [i168]Sangamesh Kodge, Deepak Ravikumar, Gobinda Saha, Kaushik Roy:
Verifix: Post-Training Correction to Improve Label Noise Robustness with Verified Samples. CoRR abs/2403.08618 (2024) - [i167]Timur Ibrayev, Isha Garg, Indranil Chakraborty, Kaushik Roy:
Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators. CoRR abs/2403.13082 (2024) - [i166]Shubham Negi, Utkarsh Saxena, Deepika Sharma, Kaushik Roy:
HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads. CoRR abs/2403.13577 (2024) - [i165]Shrihari Sridharan, Surya Selvam, Kaushik Roy, Anand Raghunathan:
Ev-Edge: Efficient Execution of Event-based Vision Algorithms on Commodity Edge Platforms. CoRR abs/2403.15717 (2024) - [i164]Timur Ibrayev, Amitangshu Mukherjee, Sai Aparna Aketi, Kaushik Roy:
Towards Two-Stream Foveation-based Active Vision Learning. CoRR abs/2403.15977 (2024) - [i163]Amitangshu Mukherjee, Timur Ibrayev, Kaushik Roy:
On Inherent Adversarial Robustness of Active Vision Systems. CoRR abs/2404.00185 (2024) - [i162]Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy:
AdaGossip: Adaptive Consensus Step-size for Decentralized Deep Learning with Communication Compression. CoRR abs/2404.05919 (2024) - [i161]Soumyadeep Chandra, Sayeed Shafayet Chowdhury, Courtney Yong, Chandru P. Sundaram, Kaushik Roy:
ViTALS: Vision Transformer for Action Localization in Surgical Nephrectomy. CoRR abs/2405.02571 (2024) - [i160]Sakshi Choudhary, Sai Aparna Aketi, Kaushik Roy:
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data. CoRR abs/2405.13961 (2024) - [i159]Marco Paul E. Apolinario
, Arani Roy, Kaushik Roy:
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization. CoRR abs/2405.15868 (2024) - [i158]Jeffry Victor, Dong Eun Kim, Chunguang Wang, Kaushik Roy, Sumeet Gupta:
SWANN: Shuffling Weights in Crossbar Arrays for Enhanced DNN Accuracy in Deeply Scaled Technologies. CoRR abs/2406.14706 (2024) - [i157]Amogh Joshi
, Sourav Sanyal, Kaushik Roy:
Real-Time Neuromorphic Navigation: Integrating Event-Based Vision and Physics-Driven Planning on a Parrot Bebop2 Quadrotor. CoRR abs/2407.00931 (2024) - [i156]Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sabina Spiga
, Sergey Savelev, Alexander G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Beatriz Noheda, Stefan Slesazeck, Bernard Dieny, Tuo-Hung Hou, Akhil Varri, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Xixiang Zhang, Sebastian Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri B. Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser:
Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR abs/2407.02353 (2024) - [i155]Efstathia Soufleri, Deepak Ravikumar, Kaushik Roy:
Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation. CoRR abs/2407.02713 (2024) - [i154]Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy:
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature. CoRR abs/2407.02747 (2024) - [i153]Utkarsh Saxena, Gobinda Saha, Sakshi Choudhary, Kaushik Roy:
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression. CoRR abs/2408.05646 (2024) - [i152]Arkapravo Ghosh, Hemkar Reddy Sadana, Mukut Debnath, Panthadip Maji, Shubham Negi, Sumeet Gupta, Mrigank Sharad, Kaushik Roy:
Approximate ADCs for In-Memory Computing. CoRR abs/2408.06390 (2024) - [i151]Arjun Roy
, Kaushik Roy:
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain. CoRR abs/2408.15231 (2024) - [i150]Amogh Joshi
, Adarsh Kumar Kosta, Kaushik Roy:
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning. CoRR abs/2409.09990 (2024) - [i149]Sourav Sanyal, Kaushik Roy:
ASMA: An Adaptive Safety Margin Algorithm for Vision-Language Drone Navigation via Scene-Aware Control Barrier Functions. CoRR abs/2409.10283 (2024) - [i148]Jimmy Gammell, Anand Raghunathan, Kaushik Roy:
Power side-channel leakage localization through adversarial training of deep neural networks. CoRR abs/2410.22425 (2024) - [i147]Deepika Sharma, Shubham Negi, Trishit Dutta, Amogh Agrawal, Kaushik Roy:
SpiDR: A Reconfigurable Digital Compute-in-Memory Spiking Neural Network Accelerator for Event-based Perception. CoRR abs/2411.02854 (2024) - [i146]Marco Paul E. Apolinario
, Kaushik Roy:
CODE-CL: COnceptor-Based Gradient Projection for DEep Continual Learning. CoRR abs/2411.15235 (2024) - [i145]Prajna G. Malettira, Shubham Negi, Wachirawit Ponghiran, Kaushik Roy:
TSkips: Efficiency Through Explicit Temporal Delay Connections in Spiking Neural Networks. CoRR abs/2411.16711 (2024) - 2023
- [j263]Deepak Ravikumar
, Sangamesh Kodge
, Isha Garg
, Kaushik Roy
:
Intra-Class Mixup for Out-of-Distribution Detection. IEEE Access 11: 25968-25981 (2023) - [j262]Nitin Rathi
, Indranil Chakraborty
, Adarsh Kosta
, Abhronil Sengupta
, Aayush Ankit
, Priyadarshini Panda
, Kaushik Roy
:
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Comput. Surv. 55(12): 243:1-243:49 (2023) - [j261]Gobinda Saha
, Kaushik Roy:
Online continual learning with saliency-guided experience replay using tiny episodic memory. Mach. Vis. Appl. 34(4): 65 (2023) - [j260]Deepak Ravikumar
, Sangamesh Kodge
, Isha Garg
, Kaushik Roy
:
TREND: Transferability-Based Robust ENsemble Design. IEEE Trans. Artif. Intell. 4(3): 534-548 (2023) - [j259]Dong Eun Kim
, Aayush Ankit
, Cheng Wang
, Kaushik Roy
:
SAMBA: Sparsity Aware In-Memory Computing Based Machine Learning Accelerator. IEEE Trans. Computers 72(9): 2615-2627 (2023) - [j258]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Neighborhood Gradient Mean: An Efficient Decentralized Learning Method for Non-IID Data. Trans. Mach. Learn. Res. 2023 (2023) - [j257]Nitin Rathi
, Kaushik Roy
:
DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(6): 3174-3182 (2023) - [j256]Shrihari Sridharan
, Jacob R. Stevens, Kaushik Roy
, Anand Raghunathan:
X-Former: In-Memory Acceleration of Transformers. IEEE Trans. Very Large Scale Integr. Syst. 31(8): 1223-1233 (2023) - [c506]Gobinda Saha, Kaushik Roy:
Continual Learning with Scaled Gradient Projection. AAAI 2023: 9677-9685 - [c505]Utkarsh Saxena, Kaushik Roy:
McQueen: Mixed Precision Quantization of Early Exit Networks. BMVC 2023: 511-513 - [c504]Mustafa Fayez Ali, Indranil Chakraborty, Sakshi Choudhary, Muya Chang, Dong Eun Kim
, Arijit Raychowdhury, Kaushik Roy:
A 65 nm 1.4-6.7 TOPS/W Adaptive-SNR Sparsity-Aware CIM Core with Load Balancing Support for DL workloads. CICC 2023: 1-2 - [c503]Arjun Roy, Manish Nagaraj
, Chamika Mihiranga Liyanagedera, Kaushik Roy:
Live Demonstration: Real-time Event-based Speed Detection using Spiking Neural Networks. CVPR Workshops 2023: 4081-4082 - [c502]Adarsh Kumar Kosta, Marco Paul E. Apolinario
, Kaushik Roy:
Live Demonstration: ANN vs SNN vs Hybrid Architectures for Event-based Real-time Gesture Recognition and Optical Flow Estimation. CVPR Workshops 2023: 4148-4149 - [c501]Isha Garg, Kaushik Roy:
Samples with Low Loss Curvature Improve Data Efficiency. CVPR 2023: 20290-20300 - [c500]Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy:
Lightning Talk: A Perspective on Neuromorphic Computing. DAC 2023: 1-2 - [c499]Yinghan Long
, Sayeed Shafayet Chowdhury, Kaushik Roy:
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model. EMNLP (Findings) 2023: 8325-8337 - [c498]Timur Ibrayev, Manish Nagaraj, Amitangshu Mukherjee, Kaushik Roy:
Exploring Foveation and Saccade for Improved Weakly-Supervised Localization. Gaze Meets ML 2023: 61-89 - [c497]Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy:
Event-based Temporally Dense Optical Flow Estimation with Sequential Learning. ICCV 2023: 9793-9802 - [c496]Sourav Sanyal
, Kaushik Roy:
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network. ICRA 2023: 1019-1025 - [c495]Manish Nagaraj
, Chamika Mihiranga Liyanagedera, Kaushik Roy:
DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture. ICRA 2023: 4858-4864 - [c494]Adarsh Kumar Kosta, Kaushik Roy:
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics. ICRA 2023: 6021-6027 - [c493]Chamika Mihiranga Liyanagedera, Manish Nagaraj
, Wachirawit Ponghiran, Kaushik Roy:
Low-Power Real-Time Sequential Processing with Spiking Neural Networks. ISCAS 2023: 1-5 - [c492]Utkarsh Saxena, Kaushik Roy:
Partial-Sum Quantization for Near ADC-Less Compute-In-Memory Accelerators. ISLPED 2023: 1-6 - [c491]Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy:
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. NeurIPS 2023 - [c490]Gobinda Saha, Kaushik Roy:
Saliency Guided Experience Packing for Replay in Continual Learning. WACV 2023: 5262-5272 - [i144]Giovanni Finocchio, Supriyo Bandyopadhyay, Peng Lin, Gang Pan, J. Joshua Yang
, Riccardo Tomasello, Christos Panagopoulos, Mario Carpentieri, Vito Puliafito, Johan Åkerman, Hiroki Takesue, Amit Ranjan Trivedi, Saibal Mukhopadhyay, Kaushik Roy, Vinod K. Sangwan, Mark C. Hersam, Anna Giordano, Huynsoo Yang, Julie Grollier, Kerem Yunus Çamsari
, Peter L. McMahon, Supriyo Datta, Jean Anne C. Incorvia, Joseph S. Friedman, Sorin Cotofana, Florin Ciubotaru, Andrii V. Chumak
, Azad J. Naeemi, Brajesh Kumar Kaushik, Yao Zhu, Kang Wang, Belita Koiller, Gabriel Aguilar, Guilherme P. Temporão, Kremena Makasheva, Aida Todri-Sanial, Jennifer Hasler, William Levy, Vwani Roychowdhury, Samiran Ganguly, Avik W. Ghosh, Davi Rodriquez, Satoshi Sunada, Karin Everschor-Sitte
, Amit Lal, Shubham Jadhav, Massimiliano Di Ventra, Yuriy V. Pershin, Kosuke Tatsumura, Hayato Goto:
Roadmap for Unconventional Computing with Nanotechnology. CoRR abs/2301.06727 (2023) - [i143]Gobinda Saha
, Kaushik Roy:
Continual Learning with Scaled Gradient Projection. CoRR abs/2302.01386 (2023) - [i142]Shrihari Sridharan, Jacob R. Stevens, Kaushik Roy, Anand Raghunathan:
X-Former: In-Memory Acceleration of Transformers. CoRR abs/2303.07470 (2023) - [i141]Sakshi Choudhary, Sai Aparna Aketi, Gobinda Saha, Kaushik Roy:
CoDeC: Communication-Efficient Decentralized Continual Learning. CoRR abs/2303.15378 (2023) - [i140]Deepak Ravikumar
, Gobinda Saha, Sai Aparna Aketi, Kaushik Roy:
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning. CoRR abs/2304.04326 (2023) - [i139]Sai Aparna Aketi, Abolfazl Hashemi, Kaushik Roy:
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data. CoRR abs/2305.04792 (2023) - [i138]Amogh Joshi
, Adarsh Kosta, Wachirawit Ponghiran, Manish Nagaraj
, Kaushik Roy:
FEDORA: Flying Event Dataset fOr Reactive behAvior. CoRR abs/2305.14392 (2023) - [i137]Yinghan Long, Sayeed Shafayet Chowdhury, Kaushik Roy:
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model. CoRR abs/2305.16340 (2023) - [i136]Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy:
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation. CoRR abs/2306.02960 (2023) - [i135]Marco Paul E. Apolinario
, Kaushik Roy:
S-TLLR: STDP-inspired Temporal Local Learning Rule for Spiking Neural Networks. CoRR abs/2306.15220 (2023) - [i134]Isha Garg, Kaushik Roy:
Memorization Through the Lens of Curvature of Loss Function Around Samples. CoRR abs/2307.05831 (2023) - [i133]Sourav Sanyal
, Rohan Kumar Manna, Kaushik Roy:
EV-Planner: Energy-Efficient Robot Navigation via Event-Based Physics-Guided Neuromorphic Planner. CoRR abs/2307.11349 (2023) - [i132]Sai Aparna Aketi, Kaushik Roy:
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data. CoRR abs/2310.15890 (2023) - [i131]Sangamesh Kodge, Gobinda Saha, Kaushik Roy:
Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting. CoRR abs/2312.00761 (2023) - [i130]Tanvi Sharma, Mustafa Fayez Ali, Indranil Chakraborty, Kaushik Roy:
WWW: What, When, Where to Compute-in-Memory. CoRR abs/2312.15896 (2023) - 2022
- [j255]Sandip Mondal
, Zhen Zhang
, A. N. M. Nafiul Islam, Robert Andrawis, Sampath Gamage, Neda Alsadat Aghamiri, Qi Wang, Hua Zhou
, Fanny Rodolakis, Richard Tran, Jasleen Kaur, Chi Chen, Shyue Ping Ong, Abhronil Sengupta, Yohannes Abate
, Kaushik Roy, Shriram Ramanathan:
All-Electric Nonassociative Learning in Nickel Oxide. Adv. Intell. Syst. 4(10) (2022) - [j254]Sai Aparna Aketi
, Sangamesh Kodge, Kaushik Roy:
Low precision decentralized distributed training over IID and non-IID data. Neural Networks 155: 451-460 (2022) - [j253]Sourav Sanyal
, Kaushik Roy
:
Neuro-Ising: Accelerating Large-Scale Traveling Salesman Problems via Graph Neural Network Guided Localized Ising Solvers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5408-5420 (2022) - [j252]Chun Tao
, Deboleena Roy
, Indranil Chakraborty
, Kaushik Roy
:
On Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. IEEE Trans. Very Large Scale Integr. Syst. 30(10): 1448-1460 (2022) - [j251]Mustafa Fayez Ali
, Sourjya Roy
, Utkarsh Saxena, Tanvi Sharma
, Anand Raghunathan, Kaushik Roy
:
Compute-in-Memory Technologies and Architectures for Deep Learning Workloads. IEEE Trans. Very Large Scale Integr. Syst. 30(11): 1615-1630 (2022) - [c489]Bing Han, Cheng Wang, Kaushik Roy:
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing. AAAI 2022: 6838-6846 - [c488]Wachirawit Ponghiran, Kaushik Roy:
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning. AAAI 2022: 8001-8008 - [c487]Sarada Krithivasan, Sanchari Sen, Nitin Rathi
, Kaushik Roy, Anand Raghunathan:
Efficiency attacks on spiking neural networks. DAC 2022: 373-378 - [c486]Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy:
NAX: neural architecture and memristive xbar based accelerator co-design. DAC 2022: 451-456 - [c485]Gobinda Saha
, Cheng Wang, Anand Raghunathan, Kaushik Roy:
A cross-layer approach to cognitive computing: invited. DAC 2022: 1327-1330 - [c484]Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy:
HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. DATE 2022: 88-91 - [c483]Utkarsh Saxena, Indranil Chakraborty, Kaushik Roy:
Towards ADC-Less Compute-In-Memory Accelerators for Energy Efficient Deep Learning. DATE 2022: 624-627 - [c482]Sayeed Shafayet Chowdhury
, Nitin Rathi
, Kaushik Roy
:
Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning. ECCV (11) 2022: 709-726 - [c481]Kaushik Roy:
In-Memory Computing based Machine Learning Accelerators: Opportunities and Challenges. ACM Great Lakes Symposium on VLSI 2022: 203-204 - [c480]Kang He, Indranil Chakraborty, Cheng Wang, Kaushik Roy:
Design Space and Memory Technology Co-Exploration for In-Memory Computing Based Machine Learning Accelerators. ICCAD 2022: 91:1-91:9 - [c479]Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy:
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures. ICRA 2022: 6504-6510 - [c478]Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy:
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. ICRA 2022: 7492-7498 - [c477]Deepika Sharma
, Aayush Ankit, Kaushik Roy:
Identifying Efficient Dataflows for Spiking Neural Networks. ISLPED 2022: 2:1-2:6 - [p4]Sourav Sanyal
, Shubham Negi, Anand Raghunathan, Kaushik Roy:
Approximate Computing for Machine Learning Workloads: A Circuits and Systems Perspective. Approximate Computing 2022: 365-395 - [i129]Isha Garg, Manish Nagaraj, Kaushik Roy:
TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data. CoRR abs/2201.08494 (2022) - [i128]Md. Mazharul Islam, Shamiul Alam, Md. Shafayat Hossain
, Kaushik Roy, Ahmedullah Aziz:
Cryogenic Neuromorphic Hardware. CoRR abs/2204.07503 (2022) - [i127]Deepak Ravikumar
, Kaushik Roy:
Norm-Scaling for Out-of-Distribution Detection. CoRR abs/2205.03493 (2022) - [i126]Wilfried Haensch, Anand Raghunathan, Kaushik Roy, Bhaswar Chakrabarti, Charudatta M. Phatak, Cheng Wang, Supratik Guha:
A Co-design view of Compute in-Memory with Non-Volatile Elements for Neural Networks. CoRR abs/2206.08735 (2022) - [i125]Sourav Sanyal, Kaushik Roy:
RAMP-Net: A Robust Adaptive MPC for Quadrotors via Physics-informed Neural Network. CoRR abs/2209.09025 (2022) - [i124]Adarsh Kumar Kosta, Kaushik Roy:
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics. CoRR abs/2209.11741 (2022) - [i123]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions. CoRR abs/2209.14390 (2022) - [i122]Manish Nagaraj
, Chamika Mihiranga Liyanagedera, Kaushik Roy:
DOTIE - Detecting Objects through Temporal Isolation of Events using a Spiking Architecture. CoRR abs/2210.00975 (2022) - [i121]Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy:
Event-based Temporally Dense Optical Flow Estimation with Sequential Neural Networks. CoRR abs/2210.01244 (2022) - [i120]Marco Paul E. Apolinario, Adarsh Kumar Kosta, Utkarsh Saxena, Kaushik Roy:
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks. CoRR abs/2211.02167 (2022) - [i119]Shristi Das Biswas
, Adarsh Kosta, Chamika M. Liyanagedera, Marco Paul E. Apolinario
, Kaushik Roy:
HALSIE - Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities. CoRR abs/2211.10754 (2022) - 2021
- [j250]Efstathia Soufleri
, Kaushik Roy
:
Network Compression via Mixed Precision Quantization Using a Multi-Layer Perceptron for the Bit-Width Allocation. IEEE Access 9: 135059-135068 (2021) - [j249]Gobinda Saha
, Isha Garg
, Aayush Ankit
, Kaushik Roy
:
SPACE: Structured Compression and Sharing of Representational Space for Continual Learning. IEEE Access 9: 150480-150494 (2021) - [j248]Amogh Agrawal
, Deboleena Roy
, Utkarsh Saxena, Kaushik Roy
:
Embracing Stochasticity to Enable Neuromorphic Computing at the Edge. IEEE Des. Test 38(6): 28-35 (2021) - [j247]Aditi Anand
, Sanchari Sen, Kaushik Roy:
Quantifying the Brain Predictivity of Artificial Neural Networks With Nonlinear Response Mapping. Frontiers Comput. Neurosci. 15: 609721 (2021) - [j246]Lei Deng
, Huajin Tang, Kaushik Roy:
Editorial: Understanding and Bridging the Gap Between Neuromorphic Computing and Machine Learning. Frontiers Comput. Neurosci. 15: 665662 (2021) - [j245]Sayeed Shafayet Chowdhury
, Chankyu Lee, Kaushik Roy:
Towards understanding the effect of leak in Spiking Neural Networks. Neurocomputing 464: 83-94 (2021) - [j244]Priyadarshini Panda
, Kaushik Roy:
Implicit adversarial data augmentation and robustness with Noise-based Learning. Neural Networks 141: 120-132 (2021) - [j243]Shubham Jain
, Abhronil Sengupta
, Kaushik Roy
, Anand Raghunathan
:
RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(2): 326-338 (2021) - [j242]Amogh Agrawal
, Cheng Wang
, Tanvi Sharma
, Kaushik Roy
:
Magnetoresistive Circuits and Systems: Embedded Non-Volatile Memory to Crossbar Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 68(6): 2281-2294 (2021) - [j241]Nitin Rathi
, Kaushik Roy
:
STDP Based Unsupervised Multimodal Learning With Cross-Modal Processing in Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 5(1): 143-153 (2021) - [c476]Sitao Huang, Aayush Ankit, Plínio Silveira, Rodrigo Antunes, Sai Rahul Chalamalasetti, Izzat El Hajj, Dong Eun Kim
, Glaucimar Aguiar, Pedro Bruel, Sergey Serebryakov
, Cong Xu, Can Li, Paolo Faraboschi, John Paul Strachan, Deming Chen, Kaushik Roy, Wen-Mei W. Hwu, Dejan S. Milojicic:
Mixed Precision Quantization for ReRAM-based DNN Inference Accelerators. ASP-DAC 2021: 372-377 - [c475]Deboleena Roy, Indranil Chakraborty, Timur Ibrayev
, Kaushik Roy:
On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks. DAC 2021: 565-570 - [c474]Wachirawit Ponghiran, Kaushik Roy:
Hybrid Analog-Spiking Long Short-Term Memory for Energy Efficient Computing on Edge Devices. DATE 2021: 581-586 - [c473]Nitin Rathi
, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy:
Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives. DATE 2021: 902-907 - [c472]Hussam Amrouch, Jian-Jia Chen
, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla:
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD 2021: 1-9 - [c471]Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy:
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Low-Latency Spiking Neural Networks. ICCV 2021: 4651-4660 - [c470]Yinghan Long
, Indranil Chakraborty, Gopalakrishnan Srinivasan
, Kaushik Roy:
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. ICDCS 2021: 573-583 - [c469]Gobinda Saha
, Isha Garg, Kaushik Roy:
Gradient Projection Memory for Continual Learning. ICLR 2021 - [c468]Maryam Parsa
, Catherine D. Schuman, Nitin Rathi, Amirkoushyar Ziabari, Derek C. Rose, J. Parker Mitchell, J. Travis Johnston, Bill Kay
, Steven R. Young, Kaushik Roy:
Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. ICONS 2021: 14:1-14:8 - [c467]Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy:
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks. IJCNN 2021: 1-9 - [c466]Kenneth Chaney, Artemis Panagopoulou, Chankyu Lee, Kaushik Roy, Kostas Daniilidis:
Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras. IROS 2021: 5892-5899 - [c465]Tanvi Sharma
, Cheng Wang, Amogh Agrawal, Kaushik Roy:
Enabling Robust SOT-MTJ Crossbars for Machine Learning using Sparsity-Aware Device-Circuit Co-design. ISLPED 2021: 1-6 - [i118]Gobinda Saha, Isha Garg, Kaushik Roy:
Gradient Projection Memory for Continual Learning. CoRR abs/2103.09762 (2021) - [i117]Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy:
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures. CoRR abs/2103.10592 (2021) - [i116]Sayeed Shafayet Chowdhury, Isha Garg, Kaushik Roy:
Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks. CoRR abs/2104.12528 (2021) - [i115]Amogh Agrawal, Mustafa Fayez Ali, Minsuk Koo, Nitin Rathi, Akhilesh Jaiswal, Kaushik Roy:
IMPULSE: A 65nm Digital Compute-in-Memory Macro with Fused Weights and Membrane Potential for Spike-based Sequential Learning Tasks. CoRR abs/2105.08217 (2021) - [i114]Shubham Negi, Indranil Chakraborty, Aayush Ankit, Kaushik Roy:
NAX: Co-Designing Neural Network and Hardware Architecture for Memristive Xbar based Computing Systems. CoRR abs/2106.12125 (2021) - [i113]Wachirawit Ponghiran, Kaushik Roy:
Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning. CoRR abs/2109.01905 (2021) - [i112]Gobinda Saha
, Kaushik Roy:
Saliency Guided Experience Packing for Replay in Continual Learning. CoRR abs/2109.04954 (2021) - [i111]Yinghan Long, Indranil Chakraborty, Gopalakrishnan Srinivasan, Kaushik Roy:
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems. CoRR abs/2109.06440 (2021) - [i110]Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, Kaushik Roy:
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning. CoRR abs/2109.08231 (2021) - [i109]Deboleena Roy, Chun Tao, Indranil Chakraborty, Kaushik Roy:
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. CoRR abs/2109.09060 (2021) - [i108]Bing Han, Cheng Wang, Kaushik Roy:
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing. CoRR abs/2109.13090 (2021) - [i107]Sayeed Shafayet Chowdhury, Nitin Rathi, Kaushik Roy:
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency. CoRR abs/2110.05929 (2021) - [i106]Sangamesh Kodge, Kaushik Roy:
BERMo: What can BERT learn from ELMo? CoRR abs/2110.15802 (2021) - [i105]Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
Low Precision Decentralized Distributed Training with Heterogeneous Data. CoRR abs/2111.09389 (2021) - [i104]Jason M. Allred
, Kaushik Roy:
L4-Norm Weight Adjustments for Converted Spiking Neural Networks. CoRR abs/2111.09446 (2021) - [i103]Amitangshu Mukherjee, Isha Garg, Kaushik Roy:
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift. CoRR abs/2112.10844 (2021) - 2020
- [j240]Isha Garg
, Priyadarshini Panda
, Kaushik Roy
:
A Low Effort Approach to Structured CNN Design Using PCA. IEEE Access 8: 1347-1360 (2020) - [j239]Syed Shakib Sarwar
, Aayush Ankit
, Kaushik Roy
:
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing. IEEE Access 8: 4615-4628 (2020) - [j238]Sai Aparna Aketi
, Sourjya Roy, Anand Raghunathan, Kaushik Roy
:
Gradual Channel Pruning While Training Using Feature Relevance Scores for Convolutional Neural Networks. IEEE Access 8: 171924-171932 (2020) - [j237]Amogh Agrawal
, Adarsh Kosta
, Sangamesh Kodge
, Dong Eun Kim
, Kaushik Roy
:
CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(3): 295-305 (2020) - [j236]Amogh Agrawal
, Adarsh Kosta
, Sangamesh Kodge
, Dong Eun Kim
, Kaushik Roy
:
Erratum to "CASH-RAM: Enabling In-Memory Computations for Edge Inference Using Charge Accumulation and Sharing in Standard 8T-SRAM Arrays". IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 588 (2020) - [j235]Aayush Ankit, Indranil Chakraborty, Amogh Agrawal, Mustafa Fayez Ali, Kaushik Roy:
Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators. IEEE Micro 40(6): 8-22 (2020) - [j234]Indranil Chakraborty
, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy:
Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence. Nat. Mach. Intell. 2(1): 43-55 (2020) - [j233]Deboleena Roy, Priyadarshini Panda, Kaushik Roy:
Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning. Neural Networks 121: 148-160 (2020) - [j232]Indranil Chakraborty
, Mustafa Fayez Ali
, Aayush Ankit
, Shubham Jain
, Sourjya Roy, Shrihari Sridharan
, Amogh Agrawal
, Anand Raghunathan, Kaushik Roy
:
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges. Proc. IEEE 108(12): 2276-2310 (2020) - [j231]Aayush Ankit
, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal
, Matthew J. Marinella
, Martin Foltin, John Paul Strachan, Dejan S. Milojicic
, Wen-Mei Hwu
, Kaushik Roy
:
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-Efficient ReRAM. IEEE Trans. Computers 69(8): 1128-1142 (2020) - [j230]Aayush Ankit
, Timur Ibrayev
, Abhronil Sengupta
, Kaushik Roy
:
TraNNsformer: Clustered Pruning on Crossbar-Based Architectures for Energy-Efficient Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2361-2374 (2020) - [j229]Swagath Venkataramani
, Vivek Joy Kozhikkottu, Amit Sabne, Kaushik Roy
, Anand Raghunathan
:
Logic Synthesis of Approximate Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2503-2515 (2020) - [j228]Mustafa Fayez Ali
, Akhilesh Jaiswal
, Kaushik Roy:
In-Memory Low-Cost Bit-Serial Addition Using Commodity DRAM Technology. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(1): 155-165 (2020) - [j227]Mustafa Fayez Ali
, Robert Andrawis
, Kaushik Roy
:
Dynamic Read Current Sensing With Amplified Bit-Line Voltage for STT-MRAMs. IEEE Trans. Circuits Syst. II Express Briefs 67-II(3): 551-555 (2020) - [j226]Mustafa Fayez Ali
, Akhilesh Jaiswal
, Sangamesh Kodge
, Amogh Agrawal
, Indranil Chakraborty
, Kaushik Roy
:
IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(8): 2521-2531 (2020) - [j225]Minsuk Koo
, Gopalakrishnan Srinivasan
, Yong Shim
, Kaushik Roy
:
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network With On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(8): 2546-2555 (2020) - [j224]Akhilesh Jaiswal
, Robert Andrawis
, Amogh Agrawal
, Kaushik Roy
:
Functional Read Enabling In-Memory Computations in 1Transistor - 1Resistor Memory Arrays. IEEE Trans. Circuits Syst. 67-II(12): 3347-3351 (2020) - [j223]Akhilesh Jaiswal
, Amogh Agrawal
, Mustafa Fayez Ali
, Saima Sharmin
, Kaushik Roy
:
i-SRAM: Interleaved Wordlines for Vector Boolean Operations Using SRAMs. IEEE Trans. Circuits Syst. 67-I(12): 4651-4659 (2020) - [j222]Amogh Agrawal
, Indranil Chakraborty
, Deboleena Roy
, Utkarsh Saxena, Saima Sharmin
, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan
, Chamika M. Liyanagedera, Abhronil Sengupta
, Kaushik Roy
:
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28(12): 2481-2494 (2020) - [c464]Bing Han, Gopalakrishnan Srinivasan
, Kaushik Roy:
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network. CVPR 2020: 13555-13564 - [c463]Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal:
In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. DAC 2020: 1-6 - [c462]Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim
, Aayush Ankit, Kaushik Roy:
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. DAC 2020: 1-6 - [c461]Chankyu Lee
, Adarsh Kosta
, Alex Zihao Zhu
, Kenneth Chaney
, Kostas Daniilidis
, Kaushik Roy
:
Spike-FlowNet: Event-Based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks. ECCV (29) 2020: 366-382 - [c460]Bing Han, Kaushik Roy:
Deep Spiking Neural Network: Energy Efficiency Through Time Based Coding. ECCV (10) 2020: 388-404 - [c459]Saima Sharmin
, Nitin Rathi
, Priyadarshini Panda
, Kaushik Roy
:
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations. ECCV (29) 2020: 399-414 - [c458]Gopalakrishnan Srinivasan
, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy:
Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ICASSP 2020: 8549-8553 - [c457]Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. ICLR 2020 - [c456]Krishna Reddy Kesari, Priyadarshini Panda, Gopalakrishnan Srinivasan
, Kaushik Roy:
Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity. IJCNN 2020: 1-8 - [c455]Maryam Parsa
, Catherine D. Schuman
, Prasanna Date, Derek C. Rose, Bill Kay
, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. IJCNN 2020: 1-9 - [c454]Mustafa Fayez Ali, Amogh Agrawal, Kaushik Roy:
RAMANN: in-SRAM differentiable memory computations for memory-augmented neural networks. ISLPED 2020: 61-66 - [c453]Ahmedullah Aziz
, Kaushik Roy:
Insulator-Metal Transition Material Based Artificial Neurons: A Design Perspective. ISQED 2020: 444-451 - [c452]Sourav Sanyal
, Aayush Ankit, Craig M. Vineyard, Kaushik Roy:
Energy-Efficient Target Recognition using ReRAM Crossbars for Enabling On-Device Intelligence. SiPS 2020: 1-6 - [c451]Priyadarshini Panda, Kaushik Roy:
Invited Talk: Re-Engineering Computing with Neuro-Inspired Learning: Devices, Circuits, and Systems. VLSID 2020: 1-18 - [i102]Gobinda Saha, Isha Garg, Aayush Ankit, Kaushik Roy:
Structured Compression and Sharing of Representational Space for Continual Learning. CoRR abs/2001.08650 (2020) - [i101]Sai Aparna Aketi, Sourjya Roy, Anand Raghunathan, Kaushik Roy:
Gradual Channel Pruning while Training using Feature Relevance Scores for Convolutional Neural Networks. CoRR abs/2002.09958 (2020) - [i100]Sai Aparna Aketi, Priyadarshini Panda, Kaushik Roy:
Relevant-features based Auxiliary Cells for Energy Efficient Detection of Natural Errors. CoRR abs/2002.11052 (2020) - [i99]Minsuk Koo, Gopalakrishnan Srinivasan, Yong Shim, Kaushik Roy:
sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network with On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge. CoRR abs/2002.11163 (2020) - [i98]Jason M. Allred, Steven J. Spencer, Gopalakrishnan Srinivasan, Kaushik Roy:
Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation. CoRR abs/2003.01250 (2020) - [i97]Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
RMP-SNNs: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Networks. CoRR abs/2003.01811 (2020) - [i96]Chankyu Lee, Adarsh Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy:
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks. CoRR abs/2003.06696 (2020) - [i95]Indranil Chakraborty, Mustafa Fayez Ali, Dong Eun Kim, Aayush Ankit, Kaushik Roy:
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks. CoRR abs/2003.06902 (2020) - [i94]Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy:
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations. CoRR abs/2003.10399 (2020) - [i93]Mustafa Fayez Ali, Akhilesh Jaiswal, Sangamesh Kodge, Amogh Agrawal, Indranil Chakraborty, Kaushik Roy:
IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array. CoRR abs/2003.12558 (2020) - [i92]Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy:
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation. CoRR abs/2005.01807 (2020) - [i91]Maryam Parsa, Catherine D. Schuman, Prasanna Date
, Derek C. Rose, Bill Kay, J. Parker Mitchell, Steven R. Young, Ryan Dellana, William Severa, Thomas E. Potok, Kaushik Roy:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. CoRR abs/2005.04171 (2020) - [i90]Yinghan Long, Indranil Chakraborty, Kaushik Roy:
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud. CoRR abs/2005.10851 (2020) - [i89]Sayeed Shafayet Chowdhury, Chankyu Lee, Kaushik Roy:
Towards Understanding the Effect of Leak in Spiking Neural Networks. CoRR abs/2006.08761 (2020) - [i88]Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
TREND: Transferability based Robust ENsemble Design. CoRR abs/2008.01524 (2020) - [i87]Nitin Rathi, Kaushik Roy:
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks. CoRR abs/2008.03658 (2020) - [i86]Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy:
Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks? CoRR abs/2008.12016 (2020) - [i85]Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy:
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks. CoRR abs/2010.01795 (2020) - [i84]Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy:
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection. CoRR abs/2012.08398 (2020)
2010 – 2019
- 2019
- [j221]Priyadarshini Panda
, Indranil Chakraborty, Kaushik Roy:
Discretization Based Solutions for Secure Machine Learning Against Adversarial Attacks. IEEE Access 7: 70157-70168 (2019) - [j220]Yinghan Long
, Gopalakrishnan Srinivasan
, Priyadarshini Panda
, Kaushik Roy:
Structured Learning for Action Recognition in Videos. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(3): 475-484 (2019) - [j219]Shubham Jain, Aayush Ankit, Indranil Chakraborty, Tayfun Gokmen, Malte J. Rasch, Wilfried Haensch, Kaushik Roy, Anand Raghunathan
:
Neural network accelerator design with resistive crossbars: Opportunities and challenges. IBM J. Res. Dev. 63(6): 10:1-10:13 (2019) - [j218]Chankyu Lee
, Gopalakrishnan Srinivasan
, Priyadarshini Panda
, Kaushik Roy:
Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity. IEEE Trans. Cogn. Dev. Syst. 11(3): 384-394 (2019) - [j217]Amogh Agrawal
, Aayush Ankit
, Kaushik Roy:
SPARE: Spiking Neural Network Acceleration Using ROM-Embedded RAMs as In-Memory-Computation Primitives. IEEE Trans. Computers 68(8): 1190-1200 (2019) - [j216]Nitin Rathi
, Priyadarshini Panda
, Kaushik Roy:
STDP-Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy-Efficient Recognition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(4): 668-677 (2019) - [j215]Amogh Agrawal
, Akhilesh Jaiswal
, Deboleena Roy
, Bing Han
, Gopalakrishnan Srinivasan
, Aayush Ankit
, Kaushik Roy:
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(8): 3064-3076 (2019) - [j214]Baibhab Chatterjee
, Priyadarshini Panda
, Shovan Maity
, Ayan Biswas, Kaushik Roy, Shreyas Sen
:
Exploiting Inherent Error Resiliency of Deep Neural Networks to Achieve Extreme Energy Efficiency Through Mixed-Signal Neurons. IEEE Trans. Very Large Scale Integr. Syst. 27(6): 1365-1377 (2019) - [j213]Aayush Ankit
, Minsuk Koo
, Shreyas Sen
, Kaushik Roy:
Powerline Communication for Enhanced Connectivity in Neuromorphic Systems. IEEE Trans. Very Large Scale Integr. Syst. 27(8): 1897-1906 (2019) - [j212]Akhilesh Jaiswal
, Indranil Chakraborty
, Amogh Agrawal
, Kaushik Roy:
8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann Computing. IEEE Trans. Very Large Scale Integr. Syst. 27(11): 2556-2567 (2019) - [c450]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams
, Paolo Faraboschi, Wen-mei W. Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic
:
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. ASPLOS 2019: 715-731 - [c449]Maryam Parsa
, J. Parker Mitchell
, Catherine D. Schuman
, Robert M. Patton, Thomas E. Potok, Kaushik Roy:
Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. IEEE BigData 2019: 4472-4478 - [c448]Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Mustafa Fayez Ali, Kaushik Roy:
Digital and Analog-Mixed-Signal In-Memory Processing in CMOS SRAM. ACM Great Lakes Symposium on VLSI 2019: 371 - [c447]Maryam Parsa
, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy:
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. ICCAD 2019: 1-8 - [c446]Alex James
, Georgios Ch. Sirakoulis, Kaushik Roy:
Smart cameras everywhere: AI vision on edge with emerging memories. ICECS 2019: 422-425 - [c445]Deboleena Roy, Indranil Chakraborty, Kaushik Roy:
Scaling Deep Spiking Neural Networks with Binary Stochastic Activations. ICCC 2019: 50-58 - [c444]Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy:
On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. IJCNN 2019: 1-6 - [c443]Priyadarshini Panda, Efstathia Soufleri, Kaushik Roy:
Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis. IJCNN 2019: 1-8 - [c442]Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy:
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. IJCNN 2019: 1-8 - [c441]Franck Le, Mudhakar Srivatsa, Krishna Kesari Reddy, Kaushik Roy:
Using Graphical Models as Explanations in Deep Neural Networks. MASS 2019: 283-289 - [c440]Deboleena Roy, Gopalakrishnan Srinivasan
, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy:
Neural Networks at the Edge. SMARTCOMP 2019: 45-50 - [p3]Ashish Ranjan
, Swagath Venkataramani, Shubham Jain, Younghoon Kim, Shankar Ganesh Ramasubramanian, Arnab Raha, Kaushik Roy, Anand Raghunathan:
Automatic Synthesis Techniques for Approximate Circuits. Approximate Circuits 2019: 123-140 - [i83]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltin, R. Stanley Williams, Paolo Faraboschi, Wen-Mei Hwu, John Paul Strachan, Kaushik Roy, Dejan S. Milojicic:
PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference. CoRR abs/1901.10351 (2019) - [i82]Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy:
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. CoRR abs/1902.00460 (2019) - [i81]Priyadarshini Panda, Indranil Chakraborty, Kaushik Roy:
Discretization based Solutions for Secure Machine Learning against Adversarial Attacks. CoRR abs/1902.03151 (2019) - [i80]Jason M. Allred
, Kaushik Roy:
Stimulating STDP to Exploit Locality for Lifelong Learning without Catastrophic Forgetting. CoRR abs/1902.03187 (2019) - [i79]Gopalakrishnan Srinivasan, Kaushik Roy:
ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing. CoRR abs/1902.04161 (2019) - [i78]Chankyu Lee, Syed Shakib Sarwar, Kaushik Roy:
Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures. CoRR abs/1903.06379 (2019) - [i77]Saima Sharmin, Priyadarshini Panda, Syed Shakib Sarwar, Chankyu Lee, Wachirawit Ponghiran, Kaushik Roy:
A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks. CoRR abs/1905.02704 (2019) - [i76]Priyadarshini Panda, Efstathia Soufleri, Kaushik Roy:
Evaluating the Stability of Recurrent Neural Models during Training with Eigenvalue Spectra Analysis. CoRR abs/1905.03219 (2019) - [i75]Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy:
PCA-driven Hybrid network design for enabling Intelligence at the Edge. CoRR abs/1906.01493 (2019) - [i74]Wachirawit Ponghiran, Gopalakrishnan Srinivasan, Kaushik Roy:
Reinforcement Learning with Low-Complexity Liquid State Machines. CoRR abs/1906.01695 (2019) - [i73]Maryam Parsa, Aayush Ankit, Amirkoushyar Ziabari, Kaushik Roy:
PABO: Pseudo Agent-Based Multi-Objective Bayesian Hyperparameter Optimization for Efficient Neural Accelerator Design. CoRR abs/1906.08167 (2019) - [i72]Deboleena Roy, Priyadarshini Panda, Kaushik Roy:
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation. CoRR abs/1906.08861 (2019) - [i71]Amogh Agrawal, Chankyu Lee, Kaushik Roy:
X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks. CoRR abs/1907.00285 (2019) - [i70]Priyadarshini Panda, Sai Aparna Aketi
, Kaushik Roy:
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization. CoRR abs/1910.13931 (2019) - [i69]Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Sapan Agarwal, Matthew J. Marinella, Martin Foltin, John Paul Strachan, Dejan S. Milojicic, Wen-Mei W. Hwu, Kaushik Roy:
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM. CoRR abs/1912.11516 (2019) - 2018
- [j211]Priyadarshini Panda
, Jason M. Allred
, Shriram Ramanathan, Kaushik Roy:
ASP: Learning to Forget With Adaptive Synaptic Plasticity in Spiking Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 51-64 (2018) - [j210]Syed Shakib Sarwar
, Gopalakrishnan Srinivasan
, Bing Han
, Parami Wijesinghe
, Akhilesh Jaiswal
, Priyadarshini Panda
, Anand Raghunathan
, Kaushik Roy:
Energy Efficient Neural Computing: A Study of Cross-Layer Approximations. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 796-809 (2018) - [j209]Syed Shakib Sarwar
, Swagath Venkataramani, Aayush Ankit, Anand Raghunathan
, Kaushik Roy:
Energy-Efficient Neural Computing with Approximate Multipliers. ACM J. Emerg. Technol. Comput. Syst. 14(2): 16:1-16:23 (2018) - [j208]Gopalakrishnan Srinivasan
, Priyadarshini Panda
, Kaushik Roy:
STDP-based Unsupervised Feature Learning using Convolution-over-time in Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ACM J. Emerg. Technol. Comput. Syst. 14(4): 44:1-44:12 (2018) - [j207]Devyani Patra, Ahmed Kamal Reza, Mohammad Khaled Hassan, Mehdi Katoozi, Ethan H. Cannon, Kaushik Roy, Yu Cao
:
Adaptive accelerated aging for 28 nm HKMG technology. Microelectron. Reliab. 80: 149-154 (2018) - [j206]Zoha Pajouhi
, Kaushik Roy:
Image Edge Detection Based on Swarm Intelligence Using Memristive Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(9): 1774-1787 (2018) - [j205]Amogh Agrawal
, Akhilesh Jaiswal
, Chankyu Lee
, Kaushik Roy:
X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(12): 4219-4232 (2018) - [j204]Indranil Chakraborty
, Deboleena Roy
, Kaushik Roy:
Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars. IEEE Trans. Emerg. Top. Comput. Intell. 2(5): 335-344 (2018) - [j203]Parami Wijesinghe
, Aayush Ankit
, Abhronil Sengupta
, Kaushik Roy:
An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain. IEEE Trans. Emerg. Top. Comput. Intell. 2(5): 345-358 (2018) - [j202]Bing Han
, Aayush Ankit
, Abhronil Sengupta
, Kaushik Roy:
Cross-Layer Design Exploration for Energy-Quality Tradeoffs in Spiking and Non-Spiking Deep Artificial Neural Networks. IEEE Trans. Multi Scale Comput. Syst. 4(4): 613-623 (2018) - [j201]Bing Han
, Kaushik Roy:
DeltaFrame-BP: An Algorithm Using Frame Difference for Deep Convolutional Neural Networks Training and Inference on Video Data. IEEE Trans. Multi Scale Comput. Syst. 4(4): 624-634 (2018) - [j200]Arnab Raha
, Akhilesh Jaiswal
, Syed Shakib Sarwar
, Hrishikesh Jayakumar, Vijay Raghunathan
, Kaushik Roy:
Designing Energy-Efficient Intermittently Powered Systems Using Spin-Hall-Effect-Based Nonvolatile SRAM. IEEE Trans. Very Large Scale Integr. Syst. 26(2): 294-307 (2018) - [j199]Shubham Jain
, Ashish Ranjan
, Kaushik Roy, Anand Raghunathan
:
Computing in Memory With Spin-Transfer Torque Magnetic RAM. IEEE Trans. Very Large Scale Integr. Syst. 26(3): 470-483 (2018) - [j198]Yeongkyo Seo
, Kaushik Roy:
High-Density SOT-MRAM Based on Shared Bitline Structure. IEEE Trans. Very Large Scale Integr. Syst. 26(8): 1600-1603 (2018) - [c439]Shubham Jain, Sachin S. Sapatnekar, Jianping Wang, Kaushik Roy, Anand Raghunathan
:
Computing-in-memory with spintronics. DATE 2018: 1640-1645 - [c438]Joao Ambrosi, Aayush Ankit, Rodrigo Antunes, Sai Rahul Chalamalasetti, Soumitra Chatterjee, Izzat El Hajj, Guilherme Fachini, Paolo Faraboschi, Martin Foltin, Sitao Huang, Wen-Mei Hwu, Gustavo Knuppe, Sunil Vishwanathpur Lakshminarasimha, Dejan S. Milojicic
, Mohan Parthasarathy, Filipe Ribeiro, Lucas Rosa, Kaushik Roy, Plínio Silveira
, John Paul Strachan:
Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning. ICRC 2018: 1-13 - [c437]Devyani Patra, Ahmed Kamal Reza, Mehdi Katoozi, Ethan H. Cannon, Kaushik Roy, Yu Cao
:
Accelerated BTI degradation under stochastic TDDB effect. IRPS 2018: 5 - [c436]Darya Mikhailenko, Chamika M. Liyanagedera, Alex Pappachen James
, Kaushik Roy:
M2CA: Modular Memristive Crossbar Arrays. ISCAS 2018: 1-5 - [c435]Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
Neuromorphic Computing Across the Stack: Devices, Circuits and Architectures. SiPS 2018: 1-6 - [c434]Amogh Agrawal, Kaushik Roy:
RECache: ROM-Embedded 8-Transistor SRAM Caches for Efficient Neural Computing. SiPS 2018: 19-24 - [c433]Andres F. Gomez, Freddy Forero, Kaushik Roy, Víctor H. Champac:
Robust Detection of Bridge Defects in STT-MRAM Cells Under Process Variations. VLSI-SoC 2018: 65-70 - [c432]Víctor H. Champac, Andres F. Gomez, Freddy Forero, Kaushik Roy:
Analysis of Bridge Defects in STT-MRAM Cells Under Process Variations and a Robust DFT Technique for Their Detection. VLSI-SoC (Selected Papers) 2018: 207-231 - [i68]Abhronil Sengupta, Yuting Ye, Robert Wang, Chiao Liu, Kaushik Roy:
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures. CoRR abs/1802.02627 (2018) - [i67]Deboleena Roy, Priyadarshini Panda, Kaushik Roy:
Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning. CoRR abs/1802.05800 (2018) - [i66]Akhilesh Jaiswal, Indranil Chakraborty, Amogh Agrawal, Kaushik Roy:
8T SRAM Cell as a Multi-bit Dot Product Engine for Beyond von-Neumann Computing. CoRR abs/1802.08601 (2018) - [i65]Zubair Al Azim, Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy:
Capacitively Driven Global Interconnect with Magnetoelectric Switching Based Receiver for Higher Energy Efficiency. CoRR abs/1802.10431 (2018) - [i64]Indranil Chakraborty, Amogh Agrawal, Kaushik Roy:
Proposal for a Low Voltage Analog-to-Digital Converter using Voltage Controlled Stochastic Switching of Low Barrier Nanomagnets. CoRR abs/1803.01431 (2018) - [i63]Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy:
All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. CoRR abs/1804.00267 (2018) - [i62]Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen:
Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons. CoRR abs/1806.05141 (2018) - [i61]Amogh Agrawal, Akhilesh Jaiswal, Bing Han, Gopalakrishnan Srinivasan, Kaushik Roy:
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. CoRR abs/1807.00343 (2018) - [i60]Priyadarshini Panda, Kaushik Roy:
Explainable Learning: Implicit Generative Modelling during Training for Adversarial Robustness. CoRR abs/1807.02188 (2018) - [i59]Indranil Chakraborty, Gobinda Saha, Kaushik Roy:
Photonic Spiking Neural Networks - From Devices to Systems. CoRR abs/1808.01241 (2018) - [i58]Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan:
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. CoRR abs/1809.00072 (2018) - [i57]Isha Garg, Priyadarshini Panda, Kaushik Roy:
A Low Effort Approach to Structured CNN Design Using PCA. CoRR abs/1812.06224 (2018) - 2017
- [j197]Priyadarshini Panda
, Abhronil Sengupta, Kaushik Roy:
Energy-Efficient and Improved Image Recognition with Conditional Deep Learning. ACM J. Emerg. Technol. Comput. Syst. 13(3): 33:1-33:21 (2017) - [j196]Karthik Yogendra, Chamika M. Liyanagedera, Deliang Fan, Yong Shim, Kaushik Roy:
Coupled Spin-Torque Nano-Oscillator-Based Computation: A Simulation Study. ACM J. Emerg. Technol. Comput. Syst. 13(4): 56:1-56:24 (2017) - [j195]Mohammad Khaled Hassan, Kaushik Roy:
Investigation of dependence between time-zero and time-dependent variability in high-κ NMOS transistors. Microelectron. Reliab. 70: 22-31 (2017) - [j194]Priyadarshini Panda
, Aayush Ankit, Parami Wijesinghe, Kaushik Roy:
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(12): 2017-2029 (2017) - [j193]Yeongkyo Seo
, Xuanyao Fong
, Kaushik Roy:
Fast and Disturb-Free Nonvolatile Flip-Flop Using Complementary Polarizer MTJ. IEEE Trans. Very Large Scale Integr. Syst. 25(4): 1573-1577 (2017) - [j192]Priyadarshini Panda
, Swagath Venkataramani, Abhronil Sengupta, Anand Raghunathan
, Kaushik Roy:
Energy-Efficient Object Detection Using Semantic Decomposition. IEEE Trans. Very Large Scale Integr. Syst. 25(9): 2673-2677 (2017) - [c431]Jianping Wang, Sachin S. Sapatnekar
, Chris H. Kim, Paul A. Crowell
, Steven J. Koester
, Supriyo Datta, Kaushik Roy, Anand Raghunathan
, Xiaobo Sharon Hu
, Michael T. Niemier, Azad Naeemi
, Chia-Ling Chien, Caroline A. Ross, Roland Kawakami
:
A Pathway to Enable Exponential Scaling for the Beyond-CMOS Era: Invited. DAC 2017: 16:1-16:6 - [c430]Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy:
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. DAC 2017: 27:1-27:6 - [c429]Parami Wijesinghe, Chamika M. Liyanagedera, Kaushik Roy:
Fast, low power evaluation of elementary functions using radial basis function networks. DATE 2017: 208-213 - [c428]Ashish Ranjan
, Swagath Venkataramani, Zoha Pajouhi, Rangharajan Venkatesan, Kaushik Roy, Anand Raghunathan
:
STAxCache: An approximate, energy efficient STT-MRAM cache. DATE 2017: 356-361 - [c427]Gopalakrishnan Srinivasan
, Abhronil Sengupta, Kaushik Roy:
Magnetic tunnel junction enabled all-spin stochastic spiking neural network. DATE 2017: 530-535 - [c426]Priyadarshini Panda, Kaushik Roy:
Semantic driven hierarchical learning for energy-efficient image classification. DATE 2017: 1582-1587 - [c425]Maryam Parsa, Priyadarshini Panda, Shreyas Sen, Kaushik Roy:
Staged Inference using Conditional Deep Learning for energy efficient real-time smart diagnosis. EMBC 2017: 78-81 - [c424]Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design. ICCAD 2017: 533-540 - [c423]Yong Shim, Akhilesh Jaiswal, Kaushik Roy:
Stochastic Switching of SHE-MTJ as a Natural Annealer for Efficient Combinatorial Optimization. ICCD 2017: 605-608 - [c422]Baibhab Chatterjee
, Priyadarshini Panda, Shovan Maity, Kaushik Roy, Shreyas Sen:
An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems. ICRC 2017: 1-2 - [c421]Gopalakrishnan Srinivasan
, Sourjya Roy, Vijay Raghunathan, Kaushik Roy:
Spike timing dependent plasticity based enhanced self-learning for efficient pattern recognition in spiking neural networks. IJCNN 2017: 1847-1854 - [c420]Chamika M. Liyanagedera, Parami Wijesinghe, Akhilesh Jaiswal, Kaushik Roy:
Image segmentation with stochastic magnetic tunnel junctions and spiking neurons. IJCNN 2017: 2460-2468 - [c419]Priyadarshini Panda, Gopalakrishnan Srinivasan
, Kaushik Roy:
EnsembleSNN: Distributed assistive STDP learning for energy-efficient recognition in spiking neural networks. IJCNN 2017: 2629-2635 - [c418]Jason M. Allred
, Kaushik Roy:
Convolving over time via recurrent connections for sequential weight sharing in neural networks. IJCNN 2017: 4444-4450 - [c417]Abhronil Sengupta, Aayush Ankit, Kaushik Roy:
Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). IJCNN 2017: 4557-4563 - [c416]Zubair Azim, Kaushik Roy:
Spin-torque sensors with differential signaling for fast and energy efficient global interconnects. ISLPED 2017: 1-6 - [c415]Syed Shakib Sarwar, Priyadarshini Panda, Kaushik Roy:
Gabor filter assisted energy efficient fast learning Convolutional Neural Networks. ISLPED 2017: 1-6 - [c414]Karthik Yogendra, Minsuk Koo, Kaushik Roy:
Energy efficient computation using injection locked bias-field free spin-hall nano-oscillator array with shared heavy metal. NANOARCH 2017: 89-94 - [c413]Mesut Atasoyu, Mustafa Altun
, Serdar Özoguz
, Kaushik Roy:
Spin-torque memristor based offset cancellation technique for sense amplifiers. SMACD 2017: 1-4 - [i56]Akhilesh Jaiswal, Indranil Chakraborty, Kaushik Roy:
Energy-Efficient Memories using Magneto-Electric Switching of Ferromagnets. CoRR abs/1701.08208 (2017) - [i55]Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy:
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. CoRR abs/1702.06064 (2017) - [i54]Shubham Jain, Ashish Ranjan, Kaushik Roy, Anand Raghunathan:
Computing in Memory with Spin-Transfer Torque Magnetic RAM. CoRR abs/1703.02118 (2017) - [i53]Priyadarshini Panda, Gopalakrishnan Srinivasan, Kaushik Roy:
Convolutional Spike Timing Dependent Plasticity based Feature Learning in Spiking Neural Networks. CoRR abs/1703.03854 (2017) - [i52]Priyadarshini Panda, Jason M. Allred, Shriram Ramanathan, Kaushik Roy:
ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks. CoRR abs/1703.07655 (2017) - [i51]Syed Shakib Sarwar, Priyadarshini Panda, Kaushik Roy:
Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks. CoRR abs/1705.04748 (2017) - [i50]Akhilesh Jaiswal, Amogh Agrawal, Kaushik Roy:
Proposal for a Leaky Integrate Fire Spiking Neuron Using Voltage Driven Domain Wall Motion. CoRR abs/1705.06942 (2017) - [i49]Yong Shim, Shuhan Chen, Abhronil Sengupta, Kaushik Roy:
Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference. CoRR abs/1707.04687 (2017) - [i48]Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design. CoRR abs/1708.07949 (2017) - [i47]Chamika M. Liyanagedera, Abhronil Sengupta, Akhilesh Jaiswal, Kaushik Roy:
Magnetic Tunnel Junction Enabled Stochastic Spiking Neural Networks: From Non-Telegraphic to Telegraphic Switching Regime. CoRR abs/1709.09247 (2017) - [i46]Nitin Rathi, Priyadarshini Panda, Kaushik Roy:
STDP Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy Efficient Recognition. CoRR abs/1710.04734 (2017) - [i45]Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Kaushik Roy, Shreyas Sen:
An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems. CoRR abs/1710.09012 (2017) - [i44]Abhronil Sengupta, Kaushik Roy:
Encoding Neural and Synaptic Functionalities in Electron Spin: A Pathway to Efficient Neuromorphic Computing. CoRR abs/1711.02235 (2017) - [i43]Amogh Agrawal, Aayush Ankit, Kaushik Roy:
SPARE: Spiking Networks Acceleration Using CMOS ROM-Embedded RAM as an In-Memory-Computation Primitive. CoRR abs/1711.07546 (2017) - [i42]Indranil Chakraborty, Deboleena Roy, Kaushik Roy:
Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars. CoRR abs/1711.08889 (2017) - [i41]Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain. CoRR abs/1712.01472 (2017) - [i40]Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy:
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing. CoRR abs/1712.02719 (2017) - [i39]Amogh Agrawal, Akhilesh Jaiswal, Kaushik Roy:
X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories. CoRR abs/1712.05096 (2017) - [i38]Priyadarshini Panda, Kaushik Roy:
Chaos-guided Input Structuring for Improved Learning in Recurrent Neural Networks. CoRR abs/1712.09206 (2017) - 2016
- [j191]Kaushik Roy, Byunghoo Jung, Dimitrios Peroulis
, Anand Raghunathan
:
Integrated Systems in the More-Than-Moore Era: Designing Low-Cost Energy-Efficient Systems Using Heterogeneous Components. IEEE Des. Test 33(3): 56-65 (2016) - [j190]Akhilesh Jaiswal, Xuanyao Fong, Kaushik Roy:
Comprehensive Scaling Analysis of Current Induced Switching in Magnetic Memories Based on In-Plane and Perpendicular Anisotropies. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(2): 120-133 (2016) - [j189]Yeongkyo Seo, Kon-Woo Kwon, Xuanyao Fong, Kaushik Roy:
High Performance and Energy-Efficient On-Chip Cache Using Dual Port (1R/1W) Spin-Orbit Torque MRAM. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(3): 293-304 (2016) - [j188]Zoha Pajouhi
, Xuanyao Fong, Anand Raghunathan
, Kaushik Roy:
Yield, Area, and Energy Optimization in STT-MRAMs Using Failure-Aware ECC. ACM J. Emerg. Technol. Comput. Syst. 13(2): 20:1-20:20 (2016) - [j187]A. Arun Goud
, Rangharajan Venkatesan, Anand Raghunathan
, Kaushik Roy:
Asymmetric Underlapped FinFETs for Near- and Super-Threshold Logic at Sub-10nm Technology Nodes. ACM J. Emerg. Technol. Comput. Syst. 13(2): 23:1-23:22 (2016) - [j186]Xuanyao Fong, Yusung Kim
, Rangharajan Venkatesan, Sri Harsha Choday, Anand Raghunathan
, Kaushik Roy:
Spin-Transfer Torque Memories: Devices, Circuits, and Systems. Proc. IEEE 104(7): 1449-1488 (2016) - [j185]Abhronil Sengupta, Yong Shim, Kaushik Roy:
Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets. IEEE Trans. Biomed. Circuits Syst. 10(6): 1152-1160 (2016) - [j184]Rangharajan Venkatesan, Vivek Joy Kozhikkottu, Mrigank Sharad, Charles Augustine, Arijit Raychowdhury, Kaushik Roy, Anand Raghunathan
:
Cache Design with Domain Wall Memory. IEEE Trans. Computers 65(4): 1010-1024 (2016) - [j183]Xuanyao Fong
, Yusung Kim
, Karthik Yogendra, Deliang Fan, Abhronil Sengupta, Anand Raghunathan
, Kaushik Roy:
Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(1): 1-22 (2016) - [j182]Abhronil Sengupta, Kaushik Roy:
A Vision for All-Spin Neural Networks: A Device to System Perspective. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(12): 2267-2277 (2016) - [j181]Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy:
Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. IEEE Trans. Neural Networks Learn. Syst. 27(9): 1907-1919 (2016) - [j180]Xuanyao Fong
, Rangharajan Venkatesan, Dongsoo Lee, Anand Raghunathan
, Kaushik Roy:
Embedding Read-Only Memory in Spin-Transfer Torque MRAM-Based On-Chip Caches. IEEE Trans. Very Large Scale Integr. Syst. 24(3): 992-1002 (2016) - [j179]Himanshu Markandeya, Kaushik Roy:
Low-Power System for Detection of Symptomatic Patterns in Audio Biological Signals. IEEE Trans. Very Large Scale Integr. Syst. 24(8): 2679-2688 (2016) - [c412]Abhronil Sengupta, Karthik Yogendra, Deliang Fan, Kaushik Roy:
Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. ASP-DAC 2016: 115-120 - [c411]Swagath Venkataramani, Kaushik Roy, Anand Raghunathan
:
Efficient embedded learning for IoT devices. ASP-DAC 2016: 308-311 - [c410]Karthik Yogendra, Deliang Fan, Yong Shim, Minsuk Koo, Kaushik Roy:
Computing with coupled Spin Torque Nano Oscillators. ASP-DAC 2016: 312-317 - [c409]Abhronil Sengupta, Bing Han, Kaushik Roy:
Toward a spintronic deep learning spiking neural processor. BioCAS 2016: 544-547 - [c408]Younghoon Kim, Swagath Venkataramani, Kaushik Roy, Anand Raghunathan
:
Designing approximate circuits using clock overgating. DAC 2016: 15:1-15:6 - [c407]Yong Shim, Abhronil Sengupta, Kaushik Roy:
Low-power approximate convolution computing unit with domain-wall motion based "spin-memristor" for image processing applications. DAC 2016: 21:1-21:6 - [c406]Priyadarshini Panda, Abhronil Sengupta, Syed Shakib Sarwar, Gopalakrishnan Srinivasan
, Swagath Venkataramani, Anand Raghunathan
, Kaushik Roy:
Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems. DAC 2016: 98:1-98:6 - [c405]Syed Shakib Sarwar, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy:
Multiplier-less Artificial Neurons exploiting error resiliency for energy-efficient neural computing. DATE 2016: 145-150 - [c404]Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar, Akhilesh Jaiswal, Kaushik Roy:
Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks. DATE 2016: 151-156 - [c403]Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy:
Conditional Deep Learning for energy-efficient and enhanced pattern recognition. DATE 2016: 475-480 - [c402]Vojtech Mrazek
, Syed Shakib Sarwar, Lukás Sekanina, Zdenek Vasícek, Kaushik Roy:
Design of power-efficient approximate multipliers for approximate artificial neural networks. ICCAD 2016: 81 - [c401]Priyadarshini Panda, Kaushik Roy:
Unsupervised regenerative learning of hierarchical features in Spiking Deep Networks for object recognition. IJCNN 2016: 299-306 - [c400]Bing Han, Abhronil Sengupta, Kaushik Roy:
On the energy benefits of spiking deep neural networks: A case study. IJCNN 2016: 971-976 - [c399]Chamika M. Liyanagedera, Karthik Yogendra, Kaushik Roy, Deliang Fan:
Spin torque nano-oscillator based Oscillatory Neural Network. IJCNN 2016: 1387-1394 - [c398]Jason M. Allred
, Kaushik Roy:
Unsupervised incremental STDP learning using forced firing of dormant or idle neurons. IJCNN 2016: 2492-2499 - [c397]Govind Narasimman, Subhrajit Roy, Xuanyao Fong, Kaushik Roy, Chip-Hong Chang
, Arindam Basu
:
A low-voltage, low power STDP synapse implementation using domain-wall magnets for spiking neural networks. ISCAS 2016: 914-917 - [c396]Abhronil Sengupta, Karthik Yogendra, Kaushik Roy:
Spintronic devices for ultra-low power neuromorphic computation (Special session paper). ISCAS 2016: 922-925 - [c395]Sohail Ahasan, Saurav Maji, Kaushik Roy, Mrigank Sharad:
Digital LDO with Time-Interleaved Comparators for Fast Response and Low Ripple. ISVLSI 2016: 337-342 - [c394]Akhilesh Jaiswal, Kaushik Roy:
Spin transfer torque memories for on-chip caches: Prospects and perspectives. LATS 2016: 7 - [c393]Swagath Venkataramani, Kaushik Roy, Anand Raghunathan:
Approximate Computing. VLSID 2016: 3-4 - [c392]Abhronil Sengupta, Priyadarshini Panda, Anand Raghunathan
, Kaushik Roy:
Neuromorphic Computing Enabled by Spin-Transfer Torque Devices. VLSID 2016: 32-37 - [i37]Priyadarshini Panda, Kaushik Roy:
Unsupervised Regenerative Learning of Hierarchical Features in Spiking Deep Networks for Object Recognition. CoRR abs/1602.01510 (2016) - [i36]Gopalakrishnan Srinivasan, Parami Wijesinghe, Syed Shakib Sarwar, Akhilesh Jaiswal, Kaushik Roy:
Significance Driven Hybrid 8T-6T SRAM for Energy-Efficient Synaptic Storage in Artificial Neural Networks. CoRR abs/1602.08556 (2016) - [i35]Syed Shakib Sarwar, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy:
Multiplier-less Artificial Neurons Exploiting Error Resiliency for Energy-Efficient Neural Computing. CoRR abs/1602.08557 (2016) - [i34]Abhronil Sengupta, Maryam Parsa, Bing Han, Kaushik Roy:
Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction. CoRR abs/1605.04494 (2016) - [i33]Zoha Pajouhi, Kaushik Roy:
Image Edge Detection based on Swarm Intelligence using Memristive Networks. CoRR abs/1606.05387 (2016) - [i32]Priyadarshini Panda, Kaushik Roy:
Attention Tree: Learning Hierarchies of Visual Features for Large-Scale Image Recognition. CoRR abs/1608.00611 (2016) - [i31]Priyadarshini Panda, Aayush Ankit, Parami Wijesinghe, Kaushik Roy:
FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition. CoRR abs/1609.03396 (2016) - [i30]Yong Shim, Akhilesh Jaiswal, Kaushik Roy:
Ising spin model using Spin-Hall Effect (SHE) induced magnetization reversal in Magnetic-Tunnel-Junction. CoRR abs/1609.05926 (2016) - [i29]Akhilesh Jaiswal, Sourjya Roy, Gopalakrishnan Srinivasan, Kaushik Roy:
Proposal for a Leaky-Integrate-Fire Spiking Neuron based on Magneto-Electric Switching of Ferro-magnets. CoRR abs/1609.09158 (2016) - [i28]Akhilesh Jaiswal, Kaushik Roy:
MESL: Proposal for a Non-volatile Cascadable Magneto-Electric Spin Logic. CoRR abs/1611.07738 (2016) - 2015
- [j178]Saibal Mukhopadhyay, Swarup Bhunia
, Hillery C. Hunter, Kaushik Roy:
Guest Editorial Computing in Emerging Technologies (Second Issue). IEEE J. Emerg. Sel. Topics Circuits Syst. 5(1): 1-4 (2015) - [j177]Kaushik Roy, Deliang Fan, Xuanyao Fong
, Yusung Kim
, Mrigank Sharad, Somnath Paul, Subho Chatterjee, Swarup Bhunia
, Saibal Mukhopadhyay:
Exploring Spin Transfer Torque Devices for Unconventional Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 5(1): 5-16 (2015) - [j176]Rangharajan Venkatesan, Mrigank Sharad, Kaushik Roy, Anand Raghunathan
:
Energy-Efficient All-Spin Cache Hierarchy Using Shift-Based Writes and Multilevel Storage. ACM J. Emerg. Technol. Comput. Syst. 12(1): 4:1-4:27 (2015) - [j175]Chih-Hsiang Ho, Soo Youn Kim, Kaushik Roy:
Ultra-thin dielectric breakdown in devices and circuits: A brief review. Microelectron. Reliab. 55(2): 308-317 (2015) - [j174]Le Zhang, Xuanyao Fong
, Chip-Hong Chang
, Zhi-Hui Kong, Kaushik Roy:
Optimizating Emerging Nonvolatile Memories for Dual-Mode Applications: Data Storage and Key Generator. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(7): 1176-1187 (2015) - [j173]Zoha Pajouhi
, Swagath Venkataramani, Karthik Yogendra, Anand Raghunathan
, Kaushik Roy:
Exploring Spin-Transfer-Torque Devices for Logic Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(9): 1441-1454 (2015) - [j172]Le Zhang, Xuanyao Fong
, Chip-Hong Chang
, Zhi-Hui Kong, Kaushik Roy:
Highly Reliable Spin-Transfer Torque Magnetic RAM-Based Physical Unclonable Function With Multi-Response-Bits Per Cell. IEEE Trans. Inf. Forensics Secur. 10(8): 1630-1642 (2015) - [j171]Himanshu Markandeya, Pedro P. Irazoqui
, Kaushik Roy:
Low-Energy Two-Stage Algorithm for High Efficacy Epileptic Seizure Detection. IEEE Trans. Very Large Scale Integr. Syst. 23(1): 208-212 (2015) - [c391]Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan
:
Approximate computing and the quest for computing efficiency. DAC 2015: 120:1-120:6 - [c390]Ashish Ranjan
, Swagath Venkataramani, Xuanyao Fong
, Kaushik Roy, Anand Raghunathan
:
Approximate storage for energy efficient spintronic memories. DAC 2015: 195:1-195:6 - [c389]Ashish Ranjan, Shankar Ganesh Ramasubramanian, Rangharajan Venkatesan, Vijay S. Pai, Kaushik Roy, Anand Raghunathan:
DyReCTape: a <u>dy</u>namically <u>re</u>configurable <u>c</u>ache using domain wall memory <u>tape</u>s. DATE 2015: 181-186 - [c388]A. Arun Goud, Rangharajan Venkatesan, Anand Raghunathan, Kaushik Roy:
Asymmetric underlapped FinFET based robust SRAM design at 7nm node. DATE 2015: 659-664 - [c387]Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan:
Computing approximately, and efficiently. DATE 2015: 748-751 - [c386]Zoha Pajouhi, Xuanyao Fong, Kaushik Roy:
Device/circuit/architecture co-design of reliable STT-MRAM. DATE 2015: 1437-1442 - [c385]Ankit Sharma, A. Arun Goud, Kaushik Roy:
Sub-10 nm FinFETs and Tunnel-FETs: from devices to systems. DATE 2015: 1443-1448 - [c384]Rangharajan Venkatesan, Swagath Venkataramani, Xuanyao Fong, Kaushik Roy, Anand Raghunathan:
Spintastic: <u>spin</u>-based s<u>t</u>och<u>astic</u> logic for energy-efficient computing. DATE 2015: 1575-1578 - [c383]Abhronil Sengupta, Kaushik Roy:
Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing. IJCNN 2015: 1-7 - [c382]Karthik Yogendra, Mei-Chin Chen, Xuanyao Fong
, Kaushik Roy:
Domain wall motion-based low power hybrid spin-CMOS 5-bit Flash Analog Data Converter. ISQED 2015: 604-609 - [c381]Kaushik Roy, Anand Raghunathan
:
Approximate Computing: An Energy-Efficient Computing Technique for Error Resilient Applications. ISVLSI 2015: 473-475 - [i27]Zoha Pajouhi, Xuanyao Fong, Anand Raghunathan, Kaushik Roy:
Yield, Area and Energy Optimization in Stt-MRAMs using failure aware ECC. CoRR abs/1509.08806 (2015) - [i26]Priyadarshini Panda, Abhronil Sengupta, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy:
Object Detection using Semantic Decomposition for Energy-Efficient Neural Computing. CoRR abs/1509.08970 (2015) - [i25]Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy:
Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition. CoRR abs/1509.08971 (2015) - [i24]Abhronil Sengupta, Aparajita Banerjee, Kaushik Roy:
Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems. CoRR abs/1510.00432 (2015) - [i23]Abhronil Sengupta, Priyadarshini Panda, Parami Wijesinghe, Yusung Kim, Kaushik Roy:
Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons. CoRR abs/1510.00440 (2015) - [i22]Abhronil Sengupta, Yong Shim, Kaushik Roy:
Simulation studies of an All-Spin Artificial Neural Network: Emulating neural and synaptic functionalities through domain wall motion in ferromagnets. CoRR abs/1510.00459 (2015) - [i21]Abhronil Sengupta, Kaushik Roy:
Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses. CoRR abs/1511.00051 (2015) - [i20]Tathagata Srimani, Bibhas Manna
, Anand Kumar Mukhopadhyay, Kaushik Roy, Mrigank Sharad:
High Sensitivity Biosensor using Injection Locked Spin Torque Nano-Oscillators. CoRR abs/1511.09072 (2015) - [i19]Sohail Ahasan, Saurav Maji, Kaushik Roy, Mrigank Sharad:
Digital LDO with Time-Interleaved Comparators for Fast Response and Low Ripple. CoRR abs/1511.09074 (2015) - [i18]Aranya Goswamy, Sagar Kumashi, Vikash Sehwag, Siddharth Singh, Manny Jain, Kaushik Roy, Mrigank Sharad:
Energy Efficient and High Performance Current-Mode Neural Network Circuit using Memristors and Digitally Assisted Analog CMOS Neurons. CoRR abs/1511.09085 (2015) - [i17]Zubair Al Azim, Abhronil Sengupta, Syed Shakib Sarwar, Kaushik Roy:
Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects. CoRR abs/1512.00762 (2015) - 2014
- [j170]Saibal Mukhopadhyay, Swarup Bhunia
, Hillery C. Hunter, Kaushik Roy:
Guest Editorial Computing in Emerging Technologies (First Issue). IEEE J. Emerg. Sel. Topics Circuits Syst. 4(4): 377-379 (2014) - [j169]Farshad Moradi
, Georgios Panagopoulos, Georgios Karakonstantis, Hooman Farkhani, Dag T. Wisland, Jens Kargaard Madsen, Hamid Mahmoodi
, Kaushik Roy:
Multi-level wordline driver for robust SRAM design in nano-scale CMOS technology. Microelectron. J. 45(1): 23-34 (2014) - [j168]Xuanyao Fong
, Yusung Kim
, Sri Harsha Choday, Kaushik Roy:
Failure Mitigation Techniques for 1T-1MTJ Spin-Transfer Torque MRAM Bit-cells. IEEE Trans. Very Large Scale Integr. Syst. 22(2): 384-395 (2014) - [j167]Kon-Woo Kwon, Sri Harsha Choday, Yusung Kim
, Kaushik Roy:
AWARE (Asymmetric Write Architecture With REdundant Blocks): A High Write Speed STT-MRAM Cache Architecture. IEEE Trans. Very Large Scale Integr. Syst. 22(4): 712-720 (2014) - [j166]Vinay Kumar Chippa, Debabrata Mohapatra, Kaushik Roy, Srimat T. Chakradhar, Anand Raghunathan
:
Scalable Effort Hardware Design. IEEE Trans. Very Large Scale Integr. Syst. 22(9): 2004-2016 (2014) - [j165]François Botman, David Bol, Jean-Didier Legat, Kaushik Roy:
Data-Dependent Operation Speed-Up Through Automatically Inserted Signal Transition Detectors for Ultralow Voltage Logic Circuits. IEEE Trans. Very Large Scale Integr. Syst. 22(12): 2561-2570 (2014) - [c380]Ivo Bolsens, Georges G. E. Gielen
, Kaushik Roy, Ulf Schneider:
"All Programmable SOC FPGA for networking and computing in big data infrastructure". ASP-DAC 2014: 1-3 - [c379]Ashish Ranjan
, Arnab Raha, Swagath Venkataramani, Kaushik Roy, Anand Raghunathan:
ASLAN: Synthesis of approximate sequential circuits. DATE 2014: 1-6 - [c378]Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra:
Brain-inspired computing with spin torque devices. DATE 2014: 1-6 - [c377]Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan
:
Approximate computing for efficient information processing. ESTIMedia 2014: 9-10 - [c376]Sri Harsha Choday, Kon-Woo Kwon, Kaushik Roy:
Workload dependent evaluation of thin-film thermoelectric devices for on-chip cooling and energy harvesting. ICCAD 2014: 535-541 - [c375]Rangharajan Venkatesan, Shankar Ganesh Ramasubramanian, Swagath Venkataramani, Kaushik Roy, Anand Raghunathan
:
STAG: Spintronic-Tape Architecture for GPGPU cache hierarchies. ISCA 2014: 253-264 - [c374]Le Zhang, Xuanyao Fong
, Chip-Hong Chang
, Zhi-Hui Kong, Kaushik Roy:
Highly reliable memory-based Physical Unclonable Function using Spin-Transfer Torque MRAM. ISCAS 2014: 2169-2172 - [c373]Shankar Ganesh Ramasubramanian
, Rangharajan Venkatesan, Mrigank Sharad, Kaushik Roy, Anand Raghunathan
:
SPINDLE: SPINtronic deep learning engine for large-scale neuromorphic computing. ISLPED 2014: 15-20 - [c372]Swagath Venkataramani, Ashish Ranjan
, Kaushik Roy, Anand Raghunathan
:
AxNN: energy-efficient neuromorphic systems using approximate computing. ISLPED 2014: 27-32 - [c371]Vinay K. Chippa, Swagath Venkataramani, Kaushik Roy, Anand Raghunathan
:
StoRM: a stochastic recognition and mining processor. ISLPED 2014: 39-44 - [c370]Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra:
Computing with Spin-Transfer-Torque Devices: Prospects and Perspectives. ISVLSI 2014: 398-402 - [i16]Deliang Fan, Mrigank Sharad, Kaushik Roy:
Design and Synthesis of Ultra Low Energy Spin-Memristor Threshold Logic. CoRR abs/1402.2648 (2014) - [i15]Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy:
Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. CoRR abs/1402.2902 (2014) - [i14]Abhronil Sengupta, Sri Harsha Choday, Yusung Kim, Kaushik Roy:
Spin Orbit Torque Based Electronic Neuron. CoRR abs/1410.1257 (2014) - [i13]Zubair Al Azim, Xuanyao Fong, Thomas Ostler, Roy W. Chantrell, Kaushik Roy:
Laser Induced Magnetization Reversal for Detection in Optical Interconnects. CoRR abs/1410.2887 (2014) - [i12]Abhronil Sengupta, Zubair Al Azim, Xuanyao Fong, Kaushik Roy:
Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity. CoRR abs/1412.6548 (2014) - [i11]Deliang Fan, Yong Shim, Anand Raghunathan, Kaushik Roy:
STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks. CoRR abs/1412.8648 (2014) - 2013
- [j164]Sumeet Kumar Gupta, Kaushik Roy:
Device-Circuit Co-Optimization for Robust Design of FinFET-Based SRAMs. IEEE Des. Test 30(6): 29-39 (2013) - [j163]Niladri Narayan Mojumder, Xuanyao Fong
, Charles Augustine, Sumeet Kumar Gupta, Sri Harsha Choday, Kaushik Roy:
Dual pillar spin-transfer torque MRAMs for low power applications. ACM J. Emerg. Technol. Comput. Syst. 9(2): 14:1-14:17 (2013) - [j162]Seetharam Narasimhan, Dongdong Du, Rajat Subhra Chakraborty, Somnath Paul, Francis G. Wolff, Christos A. Papachristou
, Kaushik Roy, Swarup Bhunia
:
Hardware Trojan Detection by Multiple-Parameter Side-Channel Analysis. IEEE Trans. Computers 62(11): 2183-2195 (2013) - [j161]Vaibhav Gupta, Debabrata Mohapatra, Anand Raghunathan
, Kaushik Roy:
Low-Power Digital Signal Processing Using Approximate Adders. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(1): 124-137 (2013) - [j160]Vinay K. Chippa, Kaushik Roy, Srimat T. Chakradhar, Anand Raghunathan
:
Managing the Quality vs. Efficiency Trade-off Using Dynamic Effort Scaling. ACM Trans. Embed. Comput. Syst. 12(2s): 90:1-90:23 (2013) - [j159]Dongsoo Lee, Kaushik Roy:
Area Efficient ROM-Embedded SRAM Cache. IEEE Trans. Very Large Scale Integr. Syst. 21(9): 1583-1595 (2013) - [c369]Vinay K. Chippa, Swagath Venkataramani, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan
:
Approximate computing: An integrated hardware approach. ACSSC 2013: 111-117 - [c368]Vinay K. Chippa, Hrishikesh Jayakumar
, Debabrata Mohapatra, Kaushik Roy, Anand Raghunathan
:
Energy-efficient recognition and mining processor using scalable effort design. CICC 2013: 1-4 - [c367]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Ultra low power associative computing with spin neurons and resistive crossbar memory. DAC 2013: 107:1-107:6 - [c366]Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan
:
Analysis and characterization of inherent application resilience for approximate computing. DAC 2013: 113:1-113:9 - [c365]Swagath Venkataramani, Kaushik Roy, Anand Raghunathan
:
Substitute-and-simplify: a unified design paradigm for approximate and quality configurable circuits. DATE 2013: 1367-1372 - [c364]Rangharajan Venkatesan, Mrigank Sharad, Kaushik Roy, Anand Raghunathan
:
DWM-TAPESTRI - an energy efficient all-spin cache using domain wall shift based writes. DATE 2013: 1825-1830 - [c363]Kaushik Roy:
Approximate computing for energy-efficient error-resilient multimedia systems. DDECS 2013: 5-6 - [c362]Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra:
Exploring Boolean and non-Boolean computing with spin torque devices. ICCAD 2013: 576-580 - [c361]Anand Raghunathan, Kaushik Roy:
Approximate computing: Energy-efficient computing with good-enough results. IOLTS 2013: 258 - [c360]Mrigank Sharad, Rangharajan Venkatesan, Anand Raghunathan
, Kaushik Roy:
Multi-level magnetic RAM using domain wall shift for energy-efficient, high-density caches. ISLPED 2013: 64-69 - [c359]Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra:
Beyond charge-based computation: Boolean and non-Boolean computing with spin torque devices. ISLPED 2013: 139-142 - [c358]Mrigank Sharad, Deliang Fan
, Kaushik Roy:
Low power and compact mixed-mode signal processing hardware using spin-neurons. ISQED 2013: 189-195 - [c357]Mrigank Sharad, Karthik Yogendra, Kon-Woo Kwon, Kaushik Roy:
Design of ultra high density and low power computational blocks using nano-magnets. ISQED 2013: 223-230 - [c356]Swagath Venkataramani, Vinay K. Chippa, Srimat T. Chakradhar, Kaushik Roy, Anand Raghunathan
:
Quality programmable vector processors for approximate computing. MICRO 2013: 1-12 - [c355]Mrigank Sharad, Karthik Yogendra, Kaushik Roy:
Energy efficient computing using coupled Dual-Pillar Spin Torque Nano Oscillators. NANOARCH 2013: 28-29 - [c354]Mrigank Sharad, Rangharajan Venkatesan, Xuanyao Fong
, Anand Raghunathan
, Kaushik Roy:
Reading spin-torque memory with spin-torque sensors. NANOARCH 2013: 40-41 - [i10]Mrigank Sharad, Kaushik Roy:
Spintronic Switches for Ultra Low Energy On-Chip and Inter-Chip Current-Mode Interconnects. CoRR abs/1304.2213 (2013) - [i9]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Ultra Low Power Associative Computing with Spin Neurons and Resistive Crossbar Memory. CoRR abs/1304.2281 (2013) - [i8]Kaushik Roy, Mrigank Sharad, Deliang Fan, Karthik Yogendra:
Exploring Boolean and Non-Boolean Computing Applications of Spin Torque Devices. CoRR abs/1308.2745 (2013) - [i7]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Ultra-low Energy, High Performance and Programmable Magnetic Threshold Logic. CoRR abs/1308.4169 (2013) - [i6]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Ultra-low Energy, High-Performance Dynamic Resistive Threshold Logic. CoRR abs/1308.4672 (2013) - [i5]Mrigank Sharad, Deliang Fan, Kaushik Roy:
Spin Neurons: A Possible Path to Energy-Efficient Neuromorphic Computers. CoRR abs/1309.3303 (2013) - 2012
- [j158]Jangjoon Lee, Srikar Bhagavatula, Swarup Bhunia
, Kaushik Roy, Byunghoo Jung:
Self-Healing Design in Deep Scaled CMOS Technologies. J. Circuits Syst. Comput. 21(6) (2012) - [j157]Mrigank Sharad, Sumeet Kumar Gupta, Shriram Raghunathan, Pedro P. Irazoqui, Kaushik Roy:
Low-Power Architecture for Epileptic Seizure Detection Based on Reduced Complexity DWT. ACM J. Emerg. Technol. Comput. Syst. 8(2): 10:1-10:14 (2012) - [j156]Dongsoo Lee, Kaushik Roy:
Viterbi-Based Efficient Test Data Compression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(4): 610-619 (2012) - [j155]Sang Phill Park
, Dongsoo Lee, Kaushik Roy:
Soft-Error-Resilient FPGAs Using Built-In 2-D Hamming Product Code. IEEE Trans. Very Large Scale Integr. Syst. 20(2): 248-256 (2012) - [j154]Jaydeep P. Kulkarni, Kaushik Roy:
Ultralow-Voltage Process-Variation-Tolerant Schmitt-Trigger-Based SRAM Design. IEEE Trans. Very Large Scale Integr. Syst. 20(2): 319-332 (2012) - [j153]W. Paul Griffin, Anand Raghunathan
, Kaushik Roy:
CLIP: Circuit Level IC Protection Through Direct Injection of Process Variations. IEEE Trans. Very Large Scale Integr. Syst. 20(5): 791-803 (2012) - [j152]Georgios Karakonstantis, Debabrata Mohapatra, Kaushik Roy:
Logic and Memory Design Based on Unequal Error Protection for Voltage-scalable, Robust and Adaptive DSP Systems. J. Signal Process. Syst. 68(3): 415-431 (2012) - [c353]Sang Phill Park, Sumeet Kumar Gupta, Niladri Narayan Mojumder, Anand Raghunathan
, Kaushik Roy:
Future cache design using STT MRAMs for improved energy efficiency: devices, circuits and architecture. DAC 2012: 492-497 - [c352]Swagath Venkataramani, Amit Sabne, Vivek Joy Kozhikkottu, Kaushik Roy, Anand Raghunathan
:
SALSA: systematic logic synthesis of approximate circuits. DAC 2012: 796-801 - [c351]Mrigank Sharad, Charles Augustine, Georgios Panagopoulos, Kaushik Roy:
Cognitive computing with spin-based neural networks. DAC 2012: 1262-1263 - [c350]Georgios Panagopoulos, Charles Augustine, Kaushik Roy:
A framework for simulating hybrid MTJ/CMOS circuits: Atoms to system approach. DATE 2012: 1443-1446 - [c349]Sumeet Kumar Gupta, Sang Phill Park
, Niladri Narayan Mojumder, Kaushik Roy:
Layout-aware optimization of stt mrams. DATE 2012: 1455-1458 - [c348]Mehdi Dehbashi, Görschwin Fey
, Kaushik Roy, Anand Raghunathan
:
On Modeling and Evaluation of Logic Circuits under Timing Variations. DSD 2012: 431-436 - [c347]Mehdi Dehbashi, Görschwin Fey
, Kaushik Roy, Anand Raghunathan
:
Functional analysis of circuits under timing variations. ETS 2012: 1 - [c346]Soo Youn Kim, Wing-Fai Loke, Sang Phill Park, Byunghoo Jung, Kaushik Roy:
Poly-Si Thin Film Transistors: Opportunities for low-cost RF applications. ICICDT 2012: 1-4 - [c345]Mrigank Sharad, Charles Augustine, Georgios Panagopoulos, Kaushik Roy:
Spin based neuron-synapse module for ultra low power programmable computational networks. IJCNN 2012: 1-7 - [c344]Yusung Kim
, Sumeet Kumar Gupta, Sang Phill Park, Georgios Panagopoulos, Kaushik Roy:
Write-optimized reliable design of STT MRAM. ISLPED 2012: 3-8 - [c343]Dongsoo Lee, Sumeet Kumar Gupta, Kaushik Roy:
High-performance low-energy STT MRAM based on balanced write scheme. ISLPED 2012: 9-14 - [c342]Elif S. Mungan, Chao Lu, Vijay Raghunathan, Kaushik Roy:
Modeling, design and cross-layer optimization of polysilicon solar cell based micro-scale energy harvesting systems. ISLPED 2012: 123-128 - [c341]Kaushik Roy:
Spin as state variable for computation: prospects and perspectives. ISLPED 2012: 147-148 - [c340]Rangharajan Venkatesan, Vivek Joy Kozhikkottu, Charles Augustine, Arijit Raychowdhury, Kaushik Roy, Anand Raghunathan
:
TapeCache: a high density, energy efficient cache based on domain wall memory. ISLPED 2012: 185-190 - [c339]Himanshu Markandeya, Shriram Raghunathan, Pedro P. Irazoqui, Kaushik Roy:
A low-power "near-threshold" epileptic seizure detection processor with multiple algorithm programmability. ISLPED 2012: 285-290 - [c338]Jangjoon Lee, Srikar Bhagavatula, Kaushik Roy, Byunghoo Jung:
Variation-aware and self-healing design methodology for a system-on-chip. LATW 2012: 1-4 - [c337]Mrigank Sharad, Charles Augustine, Georgios Panagopoulos, Kaushik Roy:
Ultra low energy analog image processing using spin based neurons. NANOARCH 2012: 211-217 - [c336]Chao Lu, Sang Phill Park, Vijay Raghunathan, Kaushik Roy:
Low-Overhead Maximum Power Point Tracking for Micro-Scale Solar Energy Harvesting Systems. VLSI Design 2012: 215-220 - [c335]Mayur Bubna, Kaushik Roy, Ashish Goel:
HBIST: An approach towards zero external test cost. VTS 2012: 13-18 - [i4]Mrigank Sharad, Charles Augustine, Georgios Panagopoulos, Kaushik Roy:
Proposal For Neuromorphic Hardware Using Spin Devices. CoRR abs/1206.3227 (2012) - [i3]Görschwin Fey, Masahiro Fujita, Natasa Miskov-Zivanov, Kaushik Roy, Matteo Sonza Reorda:
Verifying Reliability (Dagstuhl Seminar 12341). Dagstuhl Reports 2(8): 57-73 (2012) - 2011
- [j151]Georgios Karakonstantis, Abhijit Chatterjee, Kaushik Roy:
Containing the Nanometer "Pandora-Box": Cross-Layer Design Techniques for Variation Aware Low Power Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 1(1): 19-29 (2011) - [j150]Enrico Macii, Vijaykrishnan Narayanan, Kaushik Roy:
Guest Editorial Advances in Design of Energy-Efficient Circuits and Systems (Second Issue). IEEE J. Emerg. Sel. Topics Circuits Syst. 1(3): 205-207 (2011) - [j149]Chao Lu
, Vijay Raghunathan, Kaushik Roy:
Efficient Design of Micro-Scale Energy Harvesting Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 1(3): 254-266 (2011) - [j148]Ik Joon Chang, Debabrata Mohapatra, Kaushik Roy:
A Priority-Based 6T/8T Hybrid SRAM Architecture for Aggressive Voltage Scaling in Video Applications. IEEE Trans. Circuits Syst. Video Technol. 21(2): 101-112 (2011) - [j147]Ik Joon Chang, Jae-Joon Kim, Keejong Kim, Kaushik Roy:
Robust Level Converter for Sub-Threshold/Super-Threshold Operation: 100 mV to 2.5 V. IEEE Trans. Very Large Scale Integr. Syst. 19(8): 1429-1437 (2011) - [j146]Swaroop Ghosh, Kaushik Roy:
Novel Low Overhead Post-Silicon Self-Correction Technique for Parallel Prefix Adders Using Selective Redundancy and Adaptive Clocking. IEEE Trans. Very Large Scale Integr. Syst. 19(8): 1504-1507 (2011) - [j145]Jaydeep P. Kulkarni, Ashish Goel, Patrick Ndai, Kaushik Roy:
A Read-Disturb-Free, Differential Sensing 1R/1W Port, 8T Bitcell Array. IEEE Trans. Very Large Scale Integr. Syst. 19(9): 1727-1730 (2011) - [c334]Chih-Hsiang Ho, Chao Lu, Debabrata Mohapatra, Kaushik Roy:
Variation-tolerant and self-repair design methodology for low temperature polycrystalline silicon liquid crystal and organic light emitting diode displays. ASP-DAC 2011: 695-700 - [c333]Ashish Goel, Swaroop Ghosh, Mesut Meterelliyoz, Jeff Parkhurst, Kaushik Roy:
Integrated Design & Test: Conquering the Conflicting Requirements of Low-Power, Variation-Tolerance and Test Cost. Asian Test Symposium 2011: 486-491 - [c332]Georgios Karakonstantis, Nikolaos Bellas, Christos D. Antonopoulos
, Georgios Tziantzioulis, Vaibhav Gupta, Kaushik Roy:
Significance driven computation on next-generation unreliable platforms. DAC 2011: 290-291 - [c331]Vinay K. Chippa, Anand Raghunathan, Kaushik Roy, Srimat T. Chakradhar:
Dynamic effort scaling: managing the quality-efficiency tradeoff. DAC 2011: 603-608 - [c330]Chao Lu, Sang Phill Park
, Vijay Raghunathan, Kaushik Roy:
Stage number optimization for switched capacitor power converters in micro-scale energy harvesting. DATE 2011: 770-775 - [c329]Debabrata Mohapatra, Vinay K. Chippa, Anand Raghunathan, Kaushik Roy:
Design of voltage-scalable meta-functions for approximate computing. DATE 2011: 950-955 - [c328]Georgios Karakonstantis, Kaushik Roy:
Voltage over-scaling: A cross-layer design perspective for energy efficient systems. ECCTD 2011: 548-551 - [c327]Dongsoo Lee, Kaushik Roy:
Viterbi-Based Efficient Test Data Compression. ETS 2011: 204 - [c326]Rangharajan Venkatesan, Amit Agarwal, Kaushik Roy, Anand Raghunathan
:
MACACO: Modeling and analysis of circuits for approximate computing. ICCAD 2011: 667-673 - [c325]Farshad Moradi
, Georgios Panagopoulos, Georgios Karakonstantis, Dag T. Wisland, Hamid Mahmoodi
, Jens Kargaard Madsen, Kaushik Roy:
Multi-level wordline driver for low power SRAMs in nano-scale CMOS technology. ICCD 2011: 326-331 - [c324]Sang Phill Park, Soo Youn Kim, Dongsoo Lee, Jae-Joon Kim, W. Paul Griffin, Kaushik Roy:
Column-selection-enabled 8T SRAM array with ~1R/1W multi-port operation for DVFS-enabled processors. ISLPED 2011: 303-308 - [c323]Vaibhav Gupta, Debabrata Mohapatra, Sang Phill Park, Anand Raghunathan, Kaushik Roy:
IMPACT: imprecise adders for low-power approximate computing. ISLPED 2011: 409-414 - [c322]Soo Youn Kim, Selin Baytok, Kaushik Roy:
Scaled LTPS TFTs for low-cost low-power applications. ISQED 2011: 745-750 - [c321]Rangharajan Venkatesan, Vinay K. Chippa, Charles Augustine, Kaushik Roy, Anand Raghunathan
:
Energy efficient many-core processor for recognition and mining using spin-based memory. NANOARCH 2011: 122-128 - [c320]Charles Augustine, Georgios Panagopoulos, Behtash Behin-Aein, Srikant Srinivasan
, Angik Sarkar, Kaushik Roy:
Low-power functionality enhanced computation architecture using spin-based devices. NANOARCH 2011: 129-136 - [c319]Dongsoo Lee, Sang Phill Park
, Ashish Goel, Kaushik Roy:
Memory-based embedded digital ATE. VTS 2011: 266-271 - [p2]Georgios Karakonstantis, Kaushik Roy:
Low-Power and Variation-Tolerant Application-Specific System Design. Low-Power Variation-Tolerant Design in Nanometer Silicon 2011: 249-292 - 2010
- [j144]Ik Joon Chang, Jongsun Park
, Kunhyuk Kang, Kaushik Roy:
Fast and accurate estimation of SRAM read and hold failure probability using critical point sampling. IET Circuits Devices Syst. 4(6): 469-478 (2010) - [j143]Ik Joon Chang, Sang Phill Park
, Kaushik Roy:
Exploring Asynchronous Design Techniques for Process-Tolerant and Energy-Efficient Subthreshold Operation. IEEE J. Solid State Circuits 45(2): 401-410 (2010) - [j142]Sumeet Kumar Gupta, Arijit Raychowdhury, Kaushik Roy:
Digital Computation in Subthreshold Region for Ultralow-Power Operation: A Device-Circuit-Architecture Codesign Perspective. Proc. IEEE 98(2): 160-190 (2010) - [j141]Swaroop Ghosh, Kaushik Roy:
Parameter Variation Tolerance and Error Resiliency: New Design Paradigm for the Nanoscale Era. Proc. IEEE 98(10): 1718-1751 (2010) - [j140]Mesut Meterelliyoz, Jaydeep P. Kulkarni, Kaushik Roy:
Analysis of SRAM and eDRAM Cache Memories Under Spatial Temperature Variations. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(1): 2-13 (2010) - [j139]Seung Hoon Choi, Kunhyuk Kang, Florentin Dartu, Kaushik Roy:
Timed Input Pattern Generation for an Accurate Delay Calculation Under Multiple Input Switching. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(3): 497-502 (2010) - [j138]Mesut Meterelliyoz, Peilin Song, Franco Stellari
, Jaydeep P. Kulkarni, Kaushik Roy:
Characterization of Random Process Variations Using Ultralow-Power, High-Sensitivity, Bias-Free Sub-Threshold Process Sensor. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(8): 1838-1847 (2010) - [j137]Patrick Ndai, Nauman Rafique, Mithuna Thottethodi
, Swaroop Ghosh, Swarup Bhunia
, Kaushik Roy:
Trifecta: A Nonspeculative Scheme to Exploit Common, Data-Dependent Subcritical Paths. IEEE Trans. Very Large Scale Integr. Syst. 18(1): 53-65 (2010) - [j136]Niladri Narayan Mojumder, Saibal Mukhopadhyay, Jae-Joon Kim, Ching-Te Chuang, Kaushik Roy:
Self-Repairing SRAM Using On-Chip Detection and Compensation. IEEE Trans. Very Large Scale Integr. Syst. 18(1): 75-84 (2010) - [j135]Kunhyuk Kang, Sang Phill Park, Keejong Kim, Kaushik Roy:
On-Chip Variability Sensor Using Phase-Locked Loop for Detecting and Correcting Parametric Timing Failures. IEEE Trans. Very Large Scale Integr. Syst. 18(2): 270-280 (2010) - [j134]Myeong-Eun Hwang, Kaushik Roy:
ABRM: Adaptive Beta -Ratio Modulation for Process-Tolerant Ultradynamic Voltage Scaling. IEEE Trans. Very Large Scale Integr. Syst. 18(2): 281-290 (2010) - [j133]Jongsun Park
, Jung Hwan Choi, Kaushik Roy:
Dynamic Bit-Width Adaptation in DCT: An Approach to Trade Off Image Quality and Computation Energy. IEEE Trans. Very Large Scale Integr. Syst. 18(5): 787-793 (2010) - [j132]Patrick Ndai, Ashish Goel, Kaushik Roy:
A Scalable Circuit-Architecture Co-Design to Improve Memory Yield for High-Performance Processors. IEEE Trans. Very Large Scale Integr. Syst. 18(8): 1209-1219 (2010) - [j131]Swaroop Ghosh, Debabrata Mohapatra, Georgios Karakonstantis, Kaushik Roy:
Voltage Scalable High-Speed Robust Hybrid Arithmetic Units Using Adaptive Clocking. IEEE Trans. Very Large Scale Integr. Syst. 18(9): 1301-1309 (2010) - [j130]Georgios Karakonstantis, Nilanjan Banerjee, Kaushik Roy:
Process-Variation Resilient and Voltage-Scalable DCT Architecture for Robust Low-Power Computing. IEEE Trans. Very Large Scale Integr. Syst. 18(10): 1461-1470 (2010) - [j129]Yiran Chen, Hai Li, Cheng-Kok Koh, Guangyu Sun, Jing Li
, Yuan Xie, Kaushik Roy:
Variable-Latency Adder (VL-Adder) Designs for Low Power and NBTI Tolerance. IEEE Trans. Very Large Scale Integr. Syst. 18(11): 1621-1624 (2010) - [j128]Jing Li
, Patrick Ndai, Ashish Goel, Sayeef S. Salahuddin, Kaushik Roy:
Design Paradigm for Robust Spin-Torque Transfer Magnetic RAM (STT MRAM) From Circuit/Architecture Perspective. IEEE Trans. Very Large Scale Integr. Syst. 18(12): 1710-1723 (2010) - [j127]Yongtao Wang, Hamid Mahmoodi
, Lih-Yih Chiou, Hunsoo Choo, Jongsun Park
, Woopyo Jeong, Kaushik Roy:
Energy-efficient Hardware Architecture and VLSI Implementation of a Polyphase Channelizer with Applications to Subband Adaptive Filtering. J. Signal Process. Syst. 58(2): 125-137 (2010) - [c318]Chao Lu, Vijay Raghunathan, Kaushik Roy:
Micro-scale energy harvesting: a system design perspective. ASP-DAC 2010: 89-94 - [c317]Jung Hwan Choi, Byung Guk Kim, Aurobindo Dasgupta, Kaushik Roy:
Improved clock-gating control scheme for transparent pipeline. ASP-DAC 2010: 401-406 - [c316]Farshad Moradi
, Charles Augustine, Ashish Goel, Georgios Karakonstantis, Tuan Vu Cao, Dag T. Wisland, Hamid Mahmoodi
, Kaushik Roy:
Data-dependant sense-amplifier flip-flop for low power applications. CICC 2010: 1-4 - [c315]Vinay K. Chippa, Debabrata Mohapatra, Anand Raghunathan
, Kaushik Roy, Srimat T. Chakradhar:
Scalable effort hardware design: exploiting algorithmic resilience for energy efficiency. DAC 2010: 555-560 - [c314]Chao Lu, Sang Phill Park, Vijay Raghunathan, Kaushik Roy:
Efficient power conversion for ultra low voltage micro scale energy transducers. DATE 2010: 1602-1607 - [c313]Elena I. Vatajelu
, Georgios Panagopoulos, Kaushik Roy, Joan Figueras:
Parametric failure analysis of embedded SRAMs using fast & accurate dynamic analysis. ETS 2010: 69-74 - [c312]Seetharam Narasimhan, Rajat Subhra Chakraborty, Dongdong Du, Somnath Paul, Francis G. Wolff, Christos A. Papachristou
, Kaushik Roy, Swarup Bhunia
:
Multiple-Parameter Side-Channel Analysis: A Non-invasive Hardware Trojan Detection Approach. HOST 2010: 13-18 - [c311]Vaibhav Gupta, Georgios Karakonstantis, Debabrata Mohapatra, Kaushik Roy:
VEDA: Variation-aware energy-efficient Discrete Wavelet Transform architecture. ICCD 2010: 260-265 - [c310]Georgios Karakonstantis, Charles Augustine, Kaushik Roy:
A self-consistent model to estimate NBTI degradation and a comprehensive on-line system lifetime enhancement technique. IOLTS 2010: 3-8 - [c309]Chao Lu, Vijay Raghunathan, Kaushik Roy:
Maximum power point considerations in micro-scale solar energy harvesting systems. ISCAS 2010: 273-276 - [c308]Georgios Karakonstantis, Georgios Panagopoulos, Kaushik Roy:
HERQULES: system level cross-layer design exploration for efficient energy-quality trade-offs. ISLPED 2010: 117-122 - [c307]Chao Lu, Sang Phill Park, Vijay Raghunathan, Kaushik Roy:
Analysis and design of ultra low power thermoelectric energy harvesting systems. ISLPED 2010: 183-188 - [c306]Himanshu Markandeya, Georgios Karakonstantis, Shriram Raghunathan, Pedro P. Irazoqui, Kaushik Roy:
Low-power DWT-based quasi-averaging algorithm and architecture for epileptic seizure detection. ISLPED 2010: 301-306 - [c305]Mesut Meterelliyoz, Ashish Goel, Jaydeep P. Kulkarni, Kaushik Roy:
Accurate characterization of random process variations using a robust low-voltage high-sensitivity sensor featuring replica-bias circuit. ISSCC 2010: 186-187 - [c304]Kaushik Roy, Byunghoo Jung, Anand Raghunathan
:
Integrated Systems in the More-than-Moore Era: Designing Low-Cost Energy-Efficient Systems Using Heterogeneous Components. VLSI Design 2010: 464-469
2000 – 2009
- 2009
- [j126]Sang Phill Park
, Kunhyuk Kang, Kaushik Roy:
Reliability Implications of Bias-Temperature Instability in Digital ICs. IEEE Des. Test Comput. 26(6): 8-17 (2009) - [j125]Ik Joon Chang, Jae-Joon Kim, Sang Phill Park, Kaushik Roy:
A 32 kb 10T Sub-Threshold SRAM Array With Bit-Interleaving and Differential Read Scheme in 90 nm CMOS. IEEE J. Solid State Circuits 44(2): 650-658 (2009) - [j124]Jing Li
, Kunhyuk Kang, Kaushik Roy:
Variation Estimation and Compensation Technique in Scaled LTPS TFT Circuits for Low-Power Low-Cost Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(1): 46-59 (2009) - [j123]Jung Hwan Choi, Nilanjan Banerjee, Kaushik Roy:
Variation-Aware Low-Power Synthesis Methodology for Fixed-Point FIR Filters. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(1): 87-97 (2009) - [j122]Nilanjan Banerjee, Georgios Karakonstantis, Jung Hwan Choi, Chaitali Chakrabarti, Kaushik Roy:
Design Methodology for Low Power and Parametric Robustness Through Output-Quality Modulation: Application to Color-Interpolation Filtering. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(8): 1127-1137 (2009) - [j121]Myeong-Eun Hwang, Seong-Ook Jung, Kaushik Roy:
Slope Interconnect Effort: Gate-Interconnect Interdependent Delay Modeling for Early CMOS Circuit Simulation. IEEE Trans. Circuits Syst. I Regul. Pap. 56-I(7): 1428-1441 (2009) - [j120]Hamid Mahmoodi
, Vishy Tirumalashetty, Matthew Cooke, Kaushik Roy:
Ultra Low-Power Clocking Scheme Using Energy Recovery and Clock Gating. IEEE Trans. Very Large Scale Integr. Syst. 17(1): 33-44 (2009) - [j119]Yiran Chen, Hai Li, Kaushik Roy, Cheng-Kok Koh:
Gated Decap: Gate Leakage Control of On-Chip Decoupling Capacitors in Scaled Technologies. IEEE Trans. Very Large Scale Integr. Syst. 17(12): 1749-1752 (2009) - [c303]Mesut Meterelliyoz, Kaushik Roy:
Design for burn-in test: a technique for burn-in thermal stability under die-to-die parameter variations. ASP-DAC 2009: 787-792 - [c302]Jing Li
, Patrick Ndai, Ashish Goel, Haixin Liu, Kaushik Roy:
An alternate design paradigm for robust spin-torque transfer magnetic RAM (STT MRAM) from circuit/architecture perspective. ASP-DAC 2009: 841-846 - [c301]Charles Augustine, Behtash Behin-Aein, Xuanyao Fong
, Kaushik Roy:
A design methodology and device/circuit/architecture compatible simulation framework for low-power magnetic quantum cellular automata systems. ASP-DAC 2009: 847-852 - [c300]Ashish Goel, Patrick Ndai, Jaydeep P. Kulkarni, Kaushik Roy:
REad/access-preferred (REAP) SRAM - architecture-aware bit cell design for improved yield and lower VMIN. CICC 2009: 503-506 - [c299]Kaushik Roy, Jaydeep P. Kulkarni, Sumeet Kumar Gupta:
Device/circuit interactions at 22nm technology node. DAC 2009: 97-102 - [c298]Ik Joon Chang, Debabrata Mohapatra, Kaushik Roy:
A voltage-scalable & process variation resilient hybrid SRAM architecture for MPEG-4 video processors. DAC 2009: 670-675 - [c297]Debabrata Mohapatra, Georgios Karakonstantis, Kaushik Roy:
Significance driven computation: a voltage-scalable, variation-aware, quality-tuning motion estimator. ISLPED 2009: 195-200 - [c296]Kaushik Roy:
Ultra low voltage CMOS. ISLPED 2009: 425-426 - [c295]Charles Augustine, Arijit Raychowdhury, Yunfei Gao, Mark S. Lundstrom, Kaushik Roy:
PETE: A device/circuit analysis framework for evaluation and comparison of charge based emerging devices. ISQED 2009: 80-85 - [c294]Bhanu Kapoor, Shankar Hemmady, Shireesh Verma, Kaushik Roy, Manuel A. d'Abreu:
Impact of SoC power management techniques on verification and testing. ISQED 2009: 692-695 - [c293]Georgios Karakonstantis, Debabrata Mohapatra, Kaushik Roy:
System level DSP synthesis using voltage overscaling, unequal error protection & adaptive quality tuning. SiPS 2009: 133-138 - [c292]Kaushik Roy:
Design in the nano-scale Era: Low-power, reliability, and error resiliency. SoCC 2009: 445 - [c291]Nilanjan Banerjee, Saumya Chandra, Swaroop Ghosh, Sujit Dey, Anand Raghunathan
, Kaushik Roy:
Coping with Variations through System-Level Design. VLSI Design 2009: 581-586 - 2008
- [j118]Swarup Bhunia
, Hamid Mahmoodi
, Arijit Raychowdhury, Kaushik Roy:
Arbitrary Two-Pattern Delay Testing Using a Low-Overhead Supply Gating Technique. J. Electron. Test. 24(6): 577-590 (2008) - [j117]Jing Li
, Aditya Bansal, Swaroop Ghosh, Kaushik Roy:
An alternate design paradigm for low-power, low-cost, testable hybrid systems using scaled LTPS TFTs. ACM J. Emerg. Technol. Comput. Syst. 4(3): 13:1-13:19 (2008) - [j116]Keejong Kim, Hamid Mahmoodi
, Kaushik Roy:
A Low-Power SRAM Using Bit-Line Charge-Recycling. IEEE J. Solid State Circuits 43(2): 446-459 (2008) - [j115]