| Tree-CNN: A hierarchical deep convolutional neural network for incremental learning D Roy, P Panda, K Roy Neural Networks, 2018 | 296 | 2018 |
| Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays A Agrawal, A Jaiswal, D Roy, B Han, G Srinivasan, K Roy arXiv preprint arXiv:1807.00343, 2018 | 119 | 2018 |
| Technology aware training in memristive neuromorphic systems for nonideal synaptic crossbars I Chakraborty, D Roy, K Roy IEEE Transactions on Emerging Topics in Computational Intelligence 2 (5 …, 2018 | 95 | 2018 |
| Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence I Chakraborty, D Roy, I Garg, A Ankit, K Roy Nature Machine Intelligence 2 (1), 43-55, 2020 | 42 | 2020 |
| Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation D Roy, P Panda, K Roy Frontiers in Neuroscience 13, 621, 2019 | 26* | 2019 |
| Scaling Deep Spiking Neural Networks with Binary Stochastic Activations D Roy, I Chakraborty, K Roy 2019 IEEE International Conference on Cognitive Computing (ICCC), 2019 | 26 | 2019 |
| Stochastic inference and learning enabled by magnetic tunnel junctions A Sengupta, G Srinivasan, D Roy, K Roy 2018 IEEE International Electron Devices Meeting (IEDM), 15.6. 1-15.6. 4, 2018 | 22 | 2018 |
| On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks D Roy, I Chakraborty, T Ibrayev, K Roy arXiv preprint arXiv:2008.12016, 2020 | 21* | 2020 |
| Efficient hybrid network architectures for extremely quantized neural networks enabling intelligence at the edge I Chakraborty, D Roy, A Ankit, K Roy arXiv preprint arXiv:1902.00460, 2019 | 13 | 2019 |
| Revisiting stochastic computing in the era of nanoscale nonvolatile technologies A Agrawal, I Chakraborty, D Roy, U Saxena, S Sharmin, M Koo, Y Shim, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (12 …, 2020 | 12 | 2020 |
| On robustness of spin-orbit-torque based stochastic sigmoid neurons for spiking neural networks A Jaiswal, A Agrawal, I Chakraborty, D Roy, K Roy 2019 International Joint Conference on Neural Networks (IJCNN), 1-6, 2019 | 10 | 2019 |
| Neural networks at the edge D Roy, G Srinivasan, P Panda, R Tomsett, N Desai, R Ganti, K Roy 2019 IEEE International Conference on Smart Computing (SMARTCOMP), 45-50, 2019 | 8 | 2019 |
| Embracing stochasticity to enable neuromorphic computing at the edge A Agrawal, D Roy, U Saxena, K Roy IEEE Design & Test 38 (6), 28-35, 2021 | 6 | 2021 |
| Pcadriven hybrid network design for enabling intelligence at the edge I Chakraborty, D Roy, I Garg, A Ankit, K Roy CoRR, vol. abs/1906.01493, 2019 | 6 | 2019 |
| On Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars C Tao, D Roy, I Chakraborty, K Roy IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (10 …, 2022 | 1 | 2022 |
| Exploring Methods for Efficient Learning in Neural Networks D Roy Purdue University, 2021 | | 2021 |
| Neural Networks at the Edge P Panda, D Roy, G Srinivasan, A Jaiswal, R Tomsett, N Desai, R Ganti, ... | | |
| Editorial on the Conclusion of the 2020 Editorial Year—The Climactic Finale of a Peculiar Year.......... M. Alioto 2479 D Roy, U Saxena, S Sharmin, M Koo, Y Shim, G Srinivasan, ... | | |
| SPECIAL ISSUE ON LARGE-SCALE MEMRISTIVE SYSTEMS AND NEUROCHIPS FOR COMPUTATIONAL INTELLIGENCE AP James, KN Salama, H Li, D Biolek, G Indiveri, LO Chua, S Wen, H Wei, ... | | |
Kaushik RoyProfessor of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
