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2020 – today
- 2024
[j10]Bhanprakash Goswami
, Tamoghno Das, Manan Suri:
Experimental Investigation of Side-Channel Attacks on Neuromorphic Spiking Neural Networks. IEEE Embed. Syst. Lett. 16(2): 231-234 (2024)- [c47]Manan Suri, Puneet Mathur, Ramit Sawhney, Preslav Nakov, Dinesh Manocha:
Doc2Command: Furthering Language Guided Document Editing. Tiny Papers @ ICLR 2024 - [c46]Chithambara Moorthii J, Vinay Rayapati, Nanditha Rao, Manan Suri:
VPU-CIM: A 130nm, 33.98 TOPS/W RRAM based Compute-In-Memory Vector Co-Processor. ISCAS 2024: 1-5 - 2023
- [j9]Vivek Parmar, Franz Müller, Jing-Hua Hsuen, Sandeep Kaur Kingra, Nellie Laleni, Yannick Raffel, Maximilian Lederer, Alptekin Vardar, Konrad Seidel, Taha Soliman, Tobias Kirchner, Tarek Ali, Stefan Dünkel, Sven Beyer, Tian-Li Wu, Sourav De, Manan Suri, Thomas Kämpfe:
Demonstration of Differential Mode Ferroelectric Field-Effect Transistor Array-Based in-Memory Computing Macro for Realizing Multiprecision Mixed-Signal Artificial Intelligence Accelerator. Adv. Intell. Syst. 5(6) (2023) - [j8]Arun M. George, Sounak Dey, Dighanchal Banerjee, Arijit Mukherjee, Manan Suri:
Online time-series forecasting using spiking reservoir. Neurocomputing 518: 82-94 (2023) - [j7]Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri:
Exploring Memory-Oriented Design Optimization of Edge AI Hardware for Extended Reality Applications. IEEE Micro 43(6): 40-49 (2023) - [j6]Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma, Alessandro Bricalli, Giuseppe Piccolboni, Gabriel Molas, Amir Regev, Manan Suri:
Fully Binarized, Parallel, RRAM-Based Computing Primitive for In-Memory Similarity Search. IEEE Trans. Circuits Syst. II Express Briefs 70(1): 46-50 (2023) - [c45]Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, Ramaneswaran S., Dinesh Manocha:
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER. ACL (1) 2023: 104-125 - [c44]Vivek Parmar, Manan Suri:
Binarized-Distance Computation for performing low-power Face Recognition with optimized storage. AIMLSystems 2023: 45:1-45:5 - [c43]Supriya Chakraborty, Tamoghno Das, Manan Suri:
Investigation of Voltage Fault Injection Attacks on NN Inference Utilizing NVM Based Weight Storage. APCCAS 2023: 26-30 - [c42]Chirayu Jhakal, Khushi Singal, Manan Suri, Divya Chaudhary, Bijendra Kumar, Ian Gorton:
Detection of Sexism on Social Media with Multiple Simple Transformers. CLEF (Working Notes) 2023: 959-966 - [c41]Vivek Parmar, Sandeep Kaur Kingra, Syed Shakib Sarwar, Ziyun Li, Barbara De Salvo, Manan Suri:
Fully-Binarized Distance Computation based On-device Few-Shot Learning for XR applications. CVPR Workshops 2023: 4502-4508 - [c40]Sreyan Ghosh, Manan Suri, Purva Chiniya, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha:
CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network. EMNLP 2023: 6159-6173 - [c39]Cheril Shah, Yashashree Chandak, Manan Suri:
The Geometry of Multilingual Language Models: An Equality Lens. Tiny Papers @ ICLR 2023 - [c38]Sayan Kahali, Sounak Dey, Chetan Kadway, Arijit Mukherjee, Arpan Pal, Manan Suri:
Low-Power Lossless Image Compression on Small Satellite Edge using Spiking Neural Network. IJCNN 2023: 1-8 - [c37]Vivek Parmar, Sandeep Kaur Kingra, Deepak Verma, Digamber Pandey, Giuseppe Piccolboni, Alessandro Bricalli, Amir Regev, Gabriel Pares, Laurent Grenouillet, Jean-François Nodin, Manan Suri:
Demonstration of SMT-reflow Immune and SCA-resilient PUF on 28nm RRAM device array. IMW 2023: 1-4 - [c36]Ahmed Shaban, Sai Sukruth Bezugam, Manan Suri:
Neuromorphic Recurrent Spiking Neural Networks for EMG Gesture Classification and Low Power Implementation on Loihi. ISCAS 2023: 1-5 - [c35]Manan Suri, Aaryak Garg, Divya Chaudhary, Ian Gorton, Bijendra Kumar:
WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Tasks. SemEval@ACL 2023: 1945-1952 - [c34]J. Chithambara Moorthii, Sufyan Khan, Manan Suri:
NVSystolic: Heterogeneous Simulation Framework for Emerging Memories with Systolic Array. SMACD 2023: 1-4 - [i24]Manan Suri, Aaryak Garg, Divya Chaudhary, Ian Gorton, Bijendra Kumar:
WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Tasks. CoRR abs/2303.02758 (2023) - [i23]Sreyan Ghosh, Manan Suri, Purva Chiniya, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha:
CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network. CoRR abs/2303.03387 (2023) - [i22]Cheril Shah, Yashashree Chandak, Manan Suri:
The Geometry of Multilingual Language Models: An Equality Lens. CoRR abs/2305.07839 (2023) - [i21]Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, Ramaneswaran S., Dinesh Manocha:
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER. CoRR abs/2306.00928 (2023) - [i20]Khushal Sethi, Manan Suri:
Optimized Implementation of Neuromorphic HATS Algorithm on FPGA. CoRR abs/2309.07077 (2023) - [i19]Aryan Vats, Manan Suri:
A Survey of Graph and Attention Based Hyperspectral Image Classification Methods for Remote Sensing Data. CoRR abs/2310.09994 (2023) - 2022
- [c33]Manan Suri, Krish Chopra, Adwita Arora:
NSUT-NLP at CASE 2022 Task 1: Multilingual Protest Event Detection using Transformer-based Models. CASE@EMNLP 2022: 161-168 - [c32]Manan Suri, Prajeet Katari, Saumay Dudeja:
Asatya at CheckThat!-2022: Multimodal BERT for Identifying Claims in Tweets. CLEF (Working Notes) 2022: 679-693 - [c31]Manan Suri, Nalin Semwal, Divya Chaudhary, Ian Gorton, Bijendra Kumar:
I don't feel so good! Detecting Depressive Tendencies using Transformer-based Multimodal Frameworks. MLNLP 2022: 360-365 - [c30]Bhanprakash Goswami, Manan Suri:
Single Cycle XOR (SCXOR) and Stateful n-bit Parallel Adder Implementation Using 2D RRAM Crossbar. NANOARCH 2022: 1:1-1:6 - [c29]Manan Suri:
PiCkLe at SemEval-2022 Task 4: Boosting Pre-trained Language Models with Task Specific Metadata and Cost Sensitive Learning. SemEval@NAACL 2022: 464-472 - [i18]Sandeep Kaur Kingra, Vivek Parmar, Manoj Kumar Sharma, Manan Suri:
Time-multiplexed In-memory computation scheme for mapping Quantized Neural Networks on hybrid CMOS-OxRAM building blocks. CoRR abs/2206.00250 (2022) - [i17]Sai Sukruth Bezugam, Ahmed Shaban, Manan Suri:
Low Power Neuromorphic EMG Gesture Classification. CoRR abs/2206.02061 (2022) - [i16]Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri:
Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications. CoRR abs/2206.06780 (2022) - [i15]Sandeep Kaur Kingra, Vivek Parmar, Deepak Verma, Alessandro Bricalli, Giuseppe Piccolboni, Gabriel Molas, Amir Regev, Manan Suri:
Fully-Binarized, Parallel, RRAM-based Computing Primitive for In-Memory Similarity Search. CoRR abs/2208.02651 (2022) - [i14]Khushal Sethi, Vivek Parmar, Manan Suri:
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study. CoRR abs/2209.01507 (2022) - [i13]Supriya Chakraborty, Tamoghno Das, Manan Suri:
Exploiting Nanoelectronic Properties of Memory Chips for Prevention of IC Counterfeiting. CoRR abs/2209.09197 (2022) - [i12]Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Manan Suri, Rajiv Ratn Shah:
A novel multimodal dynamic fusion network for disfluency detection in spoken utterances. CoRR abs/2211.14700 (2022) - 2021
- [j5]Vivek Parmar, Manan Suri:
A Hybrid CMOS-Memristive Approach to Designing Deep Generative Models. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2790-2796 (2021) - [c28]Vivek Parmar, Manan Suri, Kazutaka Yamane, Tae Young Lee, Nyuk Leong Chung, Vinayak Bharat Naik:
MRAM-based BER resilient Quantized edge-AI Networks for Harsh Industrial Conditions. AICAS 2021: 1-4 - [c27]Ranajay Medya, Sai Sukruth Bezugam, Dwijay Bane, Manan Suri:
2D Histogram based Region Proposal (H2RP) Algorithm for Neuromorphic Vision Sensors. ICONS 2021: 27:1-27:6 - [i11]Narayani Bhatia, Devang Mahesh, Jashandeep Singh, Manan Suri:
Bird-Area Water-Bodies Dataset (BAWD) and Predictive AI Model for Avian Botulism Outbreak (AVI-BoT). CoRR abs/2105.00924 (2021) - 2020
- [c26]Supriya Chakraborty, Abhishek Gupta, Manan Suri:
Unified Characterization Platform for Emerging NVM Technology: Neural Network Application Benchmarking using off-the-Shelf NVM Chips. ISCAS 2020: 1-5 - [c25]Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi, Sufyan Khan, Boris Hudec, Tuo-Hung Hou, Manan Suri:
Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE using OxRAM Crossbar. ISCAS 2020: 1-5 - [c24]David Atienza, Subhasish Mitra, Manan Suri:
Message from the Technical Program Co-Chairs. VLSID 2020: i - [i10]Abhilash Garg, Supriya Chakraborty, Manoj Malik, Devesh Kumar, Satyajeet Singh, Manan Suri:
Investigation of Data Deletion Vulnerabilities in NAND Flash Memory Based Storage. CoRR abs/2001.07424 (2020) - [i9]Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi, Sufyan Khan, Boris Hudec, Tuo-Hung Hou, Manan Suri:
Methodology for Realizing VMM with Binary RRAM Arrays: Experimental Demonstration of Binarized-ADALINE Using OxRAM Crossbar. CoRR abs/2006.05657 (2020) - [i8]Supriya Chakraborty, Abhishek Gupta, Manan Suri:
Unified Characterization Platform for Emerging NVM Technology: Neural Network Application Benchmarking Using off-the-shelf NVM Chips. CoRR abs/2006.05696 (2020) - [i7]Vivek Parmar, Narayani Bhatia, Shubham Negi, Manan Suri:
Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones. CoRR abs/2007.02839 (2020) - [i6]Khushal Sethi, Manan Suri:
NV-Fogstore : Device-aware hybrid caching in fog computing environments. CoRR abs/2010.10562 (2020)
2010 – 2019
- 2019
- [j4]Tinish Bhattacharya, Sai Li, Yangqi Huang, Wang Kang, Weisheng Zhao, Manan Suri:
Low-Power (1T1N) Skyrmionic Synapses for Spiking Neuromorphic Systems. IEEE Access 7: 5034-5044 (2019) - [j3]Christopher H. Bennett, Vivek Parmar, Laurie E. Calvet, Jacques-Olivier Klein, Manan Suri, Matthew J. Marinella, Damien Querlioz:
Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks. IEEE Access 7: 73938-73953 (2019) - [c23]Chih-Cheng Chang, Ming-Hung Wu, Jia-Wei Lin, Chun-Hsien Li, Vivek Parmar, Heng-Yuan Lee, Jeng-Hua Wei, Shyh-Shyuan Sheu, Manan Suri, Tian-Sheuan Chang, Tuo-Hung Hou:
NV-BNN: An Accurate Deep Convolutional Neural Network Based on Binary STT-MRAM for Adaptive AI Edge. DAC 2019: 30 - [c22]Vivek Parmar, Jung-Ho Ahn, Manan Suri:
Hyperspectral Image Classification for Remote Sensing Using Low-Power Neuromorphic Hardware. IJCNN 2019: 1-7 - [c21]Khushal Sethi, Manan Suri:
Optimized Implementation of Neuromorphic HATS Algorithm on FPGA. ISCAS 2019: 1-5 - [c20]Vivek Kamalkant Parmar, Swatilekha Majumdar, Preeti Ranjan Panda, Manan Suri:
Investigation of Unified Emerging-NVM SoC Architecture for IoT-WSN Applications. VLSID 2019: 281-286 - [c19]Manoj Kumar Sharma, Umesh Chandra Lohani, Vivek Parmar, Manan Suri:
Design of an Optimized CMOS ELM Accelerator. VLSID 2019: 443-447 - 2018
- [j2]Supriya Chakraborty, Tinish Bhattacharya, Manan Suri:
Current Optimized Coset Coding for Efficient RRAM Programming. IEEE Trans. Very Large Scale Integr. Syst. 26(5): 1000-1004 (2018) - [c18]Khushal Sethi, Vivek Parmar, Manan Suri:
Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study. BioCAS 2018: 1-4 - [c17]Vivek Parmar, Manan Suri:
Design Exploration of IoT centric Neural Inference Accelerators. ACM Great Lakes Symposium on VLSI 2018: 391-396 - [c16]Narayani Bhatia, Manan Suri:
Efficient Low-Power Material Analysis using Neuromorphic Hardware: A spectral case study. IJCNN 2018: 1-7 - [c15]Tinish Bhattacharya, Vivek Parmar, Manan Suri:
MASTISK: Simulation Framework For Design Exploration Of Neuromorphic Hardware. IJCNN 2018: 1-9 - [c14]Ashwani Kumar, Mukul Sarkar, Manan Suri:
OxRAM Resistive Switching for DR Improvement. ISCAS 2018: 1-5 - [c13]Ashwani Kumar, Shubham Sahay, Manan Suri:
Switching-Time Dependent PUF Using STT-MRAM. VLSID 2018: 434-438 - [i5]Vivek Parmar, Manan Suri:
Design Exploration of Hybrid CMOS-OxRAM Deep Generative Architectures. CoRR abs/1801.02003 (2018) - [i4]Tinish Bhattacharya, Vivek Parmar, Manan Suri:
MASTISK. CoRR abs/1804.00912 (2018) - [i3]Sandeep Kaur Kingra, Vivek Parmar, Che-Chia Chang, Boris Hudec, Tuo-Hung Hou, Manan Suri:
SLIM: Simultaneous Logic-in-Memory Computing Exploiting Bilayer Analog OxRAM Devices. CoRR abs/1811.05772 (2018) - 2017
- [j1]Cory E. Merkel, Dhireesha Kudithipudi, Manan Suri, Bryant T. Wysocki:
Stochastic CBRAM-Based Neuromorphic Time Series Prediction System. ACM J. Emerg. Technol. Comput. Syst. 13(3): 37:1-37:14 (2017) - [c12]Manan Suri, Narayani Bhatia, Shridu Verma:
Rapid cervical cancer detection using neuromorphic hardware. BioCAS 2017: 1-4 - [c11]Shridu Verma, Narayani Bhatia, Salam Thoithoi Singh, Manan Suri:
Low power neuromorphic hardware based multi-modal authentication system. ICECS 2017: 132-135 - [c10]Sandeep Kaur Kingra, Swatilekha Majumdar, Manan Suri:
Stability analysis of hybrid CMOS-RRAM based 4T-2R NVSRAM. NEWCAS 2017: 125-128 - [c9]Tinish Bhattacharya, Supriya Chakraborty, Manan Suri:
Advanced performance improvement algorithms for emerging resistive memory: CBRAM case study. NVMSA 2017: 1-4 - [i2]Ashwani Kumar, Mukul Sarkar, Manan Suri:
Exploiting OxRAM Resistive Switching for Dynamic Range Improvement of CMOS Image Sensors. CoRR abs/1705.02338 (2017) - [i1]Manan Suri:
Dispenser Concept for Unmanned Aerial Vehicles (UAV, Drone, UAS). CoRR abs/1710.04122 (2017) - 2015
- [c8]Manan Suri, Vivek Parmar, Gilbert Sassine, Fabien Alibart:
OXRAM based ELM architecture for multi-class classification applications. IJCNN 2015: 1-8 - [c7]Turbo Majumder, Manan Suri, Vinay Shekhar:
NoC router using STT-MRAM based hybrid buffers with error correction and limited flit retransmission. ISCAS 2015: 2305-2308 - [c6]Manan Suri, Vivek Parmar, Ashwani Kumar, Damien Querlioz, Fabien Alibart:
Neuromorphic hybrid RRAM-CMOS RBM architecture. NVMTS 2015: 1-6 - [c5]Manan Suri, Vivek Parmar, Akshay Singla, Rishabh Malviya, Surag Nair:
Neuromorphic Hardware Accelerated Adaptive Authentication System. SSCI 2015: 1206-1213 - [c4]Bipin Rajendran, Udaya S. Ganguly, Manan Suri:
Tutorial T1: Neuromorphic Computing - Algorithms, Devices and Systems. VLSID 2015: 1-2 - 2013
- [c3]Giorgio Palma, Manan Suri, Damien Querlioz, Elisa Vianello, Barbara De Salvo:
Stochastic neuron design using conductive bridge RAM. NANOARCH 2013: 95-100 - [c2]Manan Suri, Daniele Garbin, Olivier Bichler, Damien Querlioz, Dominique Vuillaume, Christian Gamrat, Barbara De Salvo:
Impact of PCM resistance-drift in neuromorphic systems and drift-mitigation strategy. NANOARCH 2013: 140-145 - 2011
- [c1]Manan Suri, Veronique Sousa, Luca Perniola, Dominique Vuillaume, Barbara De Salvo:
Phase change memory for synaptic plasticity application in neuromorphic systems. IJCNN 2011: 619-624
Coauthor Index
Vivek Parmar
aka: Vivek Kamalkant Parmar
aka: Vivek Kamalkant Parmar
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last updated on 2024-10-07 22:10 CEST by the dblp team
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