| Enabling spike-based backpropagation for training deep neural network architectures C Lee, SS Sarwar, P Panda, G Srinivasan, K Roy Frontiers in neuroscience, 119, 2020 | 469 | 2020 |
| Design of power-efficient approximate multipliers for approximate artificial neural networks V Mrazek, SS Sarwar, L Sekanina, Z Vasicek, K Roy 2016 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-7, 2016 | 186 | 2016 |
| Incremental learning in deep convolutional neural networks using partial network sharing SS Sarwar, A Ankit, K Roy Ieee Access 8, 4615-4628, 2019 | 156 | 2019 |
| Gabor filter assisted energy efficient fast learning Convolutional Neural Networks SS Sarwar, P Panda, K Roy 2017 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2017 | 138 | 2017 |
| Multiplier-less artificial neurons exploiting error resiliency for energy-efficient neural computing SS Sarwar, S Venkataramani, A Raghunathan, K Roy 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 145-150, 2016 | 101 | 2016 |
| Memristor-based nonvolatile random access memory: Hybrid architecture for low power compact memory design SS Sarwar, SAN Saqueb, F Quaiyum, ABMHU Rashid IEEE Access 1, 29-34, 2013 | 96 | 2013 |
| A Comprehensive Analysis on Adversarial Robustness of Spiking Neural Networks S Sharmin, P Panda, SS Sarwar, C Lee, W Ponghiran, K Roy 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 88 | 2019 |
| Vibration and voice operated navigation system for visually impaired person N Mahmud, RK Saha, RB Zafar, MBH Bhuian, SS Sarwar 2014 international conference on informatics, electronics & vision (ICIEV), 1-5, 2014 | 87 | 2014 |
| Energy-efficient neural computing with approximate multipliers SS Sarwar, S Venkataramani, A Ankit, A Raghunathan, K Roy ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (2), 1-23, 2018 | 85 | 2018 |
| Enabling spike-based backpropagation in state-of-the-art deep neural network architectures C Lee, SS Sarwar, K Roy arXiv preprint arXiv:1903.06379 10, 2019 | 68 | 2019 |
| Energy efficient neural computing: A study of cross-layer approximations SS Sarwar, G Srinivasan, B Han, P Wijesinghe, A Jaiswal, P Panda, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018 | 56 | 2018 |
| Cross-layer approximations for neuromorphic computing: From devices to circuits and systems P Panda, A Sengupta, SS Sarwar, G Srinivasan, S Venkataramani, ... Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016 | 48 | 2016 |
| Significance driven hybrid 8T-6T SRAM for energy-efficient synaptic storage in artificial neural networks G Srinivasan, P Wijesinghe, SS Sarwar, A Jaiswal, K Roy 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 151-156, 2016 | 47 | 2016 |
| Intelligent vision systems–bringing human-machine interface to AR/VR C Liu, A Berkovich, S Chen, H Reyserhove, SS Sarwar, TH Tsai 2019 IEEE International Electron Devices Meeting (IEDM), 10.5. 1-10.5. 4, 2019 | 40 | 2019 |
| Power-of-two quantization for low bitwidth and hardware compliant neural networks D Przewlocka-Rus, SS Sarwar, HE Sumbul, Y Li, B De Salvo arXiv preprint arXiv:2203.05025, 2022 | 32 | 2022 |
| System-level design and integration of a prototype AR/VR hardware featuring a custom low-power DNN accelerator chip in 7nm technology for codec avatars HE Sumbul, TF Wu, Y Li, SS Sarwar, W Koven, E Murphy-Trotzky, X Cai, ... 2022 IEEE Custom Integrated Circuits Conference (CICC), 01-08, 2022 | 30 | 2022 |
| Training deep spiking neural networks for energy-efficient neuromorphic computing G Srinivasan, C Lee, A Sengupta, P Panda, SS Sarwar, K Roy ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 30 | 2020 |
| Designing energy-efficient intermittently powered systems using spin-Hall-effect-based nonvolatile SRAM A Raha, A Jaiswal, SS Sarwar, H Jayakumar, V Raghunathan, K Roy IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (2), 294-307, 2017 | 26 | 2017 |
| Distributed on-sensor compute system for AR/VR devices: A semi-analytical simulation framework for power estimation J Gomez, S Patel, SS Sarwar, Z Li, R Capoccia, Z Wang, R Pinkham, ... arXiv preprint arXiv:2203.07474, 2022 | 25 | 2022 |
| Smart sensor X Liu, B De Salvo, H Reyserhove, Z Li, AI Khan, SS Sarwar US Patent App. 17/313,884, 2021 | 14 | 2021 |
Kaushik RoyProfessor of Electrical and Computer Engineering, Purdue University在 purdue.edu 的电子邮件经过验证