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Deboleena Roy
Deboleena Roy
Research Scientist, Meta Platforms Inc.
Geverifieerd e-mailadres voor fb.com - Homepage
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Geciteerd door
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Jaar
Tree-CNN: A hierarchical deep convolutional neural network for incremental learning
D Roy, P Panda, K Roy
Neural Networks, 2018
3142018
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
1312018
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
992018
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
432020
Scaling Deep Spiking Neural Networks with Binary Stochastic Activations
D Roy, I Chakraborty, K Roy
2019 IEEE International Conference on Cognitive Computing (ICCC), 2019
272019
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation
D Roy, P Panda, K Roy
Frontiers in Neuroscience 13, 621, 2019
262019
On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks
D Roy, I Chakraborty, T Ibrayev, K Roy
arXiv preprint arXiv:2008.12016, 2020
24*2020
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
222018
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
132020
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
132019
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
112019
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
82019
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
62021
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
62019
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
22022
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, ...
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Artikelen 1–19