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2020 – today
- 2024
[j5]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)- [j4]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) - [c11]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 - [c10]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 - [i10]Amogh Joshi, Adarsh Kumar Kosta, Kaushik Roy:
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning. CoRR abs/2409.09990 (2024) - 2023
- [j3]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) - [c9]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 - [c8]Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy:
Lightning Talk: A Perspective on Neuromorphic Computing. DAC 2023: 1-2 - [c7]Adarsh Kumar Kosta, Kaushik Roy:
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics. ICRA 2023: 6021-6027 - [c6]Adarsh Kumar Kosta, Alexis Burns, Siddharth Rupavatharam, Caleb Escobedo, Daewon Lee, Richard E. Howard, Larry D. Jackel, Volkan Isler:
AcouSkin: Full Surface Contact localization Using Acoustic Waves. IROS 2023: 10821-10828 - [i9]Amogh Joshi, Adarsh Kosta, Wachirawit Ponghiran, Manish Nagaraj, Kaushik Roy:
FEDORA: Flying Event Dataset fOr Reactive behAvior. CoRR abs/2305.14392 (2023) - [i8]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) - 2022
- [c5]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 - [c4]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 - [c3]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 - [i7]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) - [i6]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) - [i5]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
- [c2]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 - [i4]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) - [i3]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) - 2020
- [j2]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) - [j1]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) - [c1]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 - [i2]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)
2010 – 2019
- 2016
- [i1]Ayush Pandey, Subhamoy Mahajan, Adarsh Kosta, Dhananjay Yadav, Vikas Pandey, Saurav Sahay, Siddharth Jha, Shubh Agarwal, Aashay Bhise, Raushan Kumar, Aniket Bhushan, Vraj Parikh, Ankit Lohani, Saurabh Dash, Himanshu Choudhary, Rahul Kumar, Anurag Sharma, Arnab Mondal, Chendika Karthik Sai, P. N. Vamshi:
Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode. CoRR abs/1611.00331 (2016)
Coauthor Index
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last updated on 2024-11-07 21:34 CET by the dblp team
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