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ORCIDDeboleena Roy
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2020 – today
- 2022
[j7]Chun Tao
, Deboleena Roy, Indranil Chakraborty, Kaushik Roy:
On Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. IEEE Trans. Very Large Scale Integr. Syst. 30(10): 1448-1460 (2022)- 2021
- [j6]Amogh Agrawal, Deboleena Roy, Utkarsh Saxena, Kaushik Roy:
Embracing Stochasticity to Enable Neuromorphic Computing at the Edge. IEEE Des. Test 38(6): 28-35 (2021) - [c4]Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy:
On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks. DAC 2021: 565-570 - [i7]Deboleena Roy, Chun Tao, Indranil Chakraborty, Kaushik Roy:
On the Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. CoRR abs/2109.09060 (2021) - 2020
- [j5]Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy:
Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence. Nat. Mach. Intell. 2(1): 43-55 (2020) - [j4]Deboleena Roy, Priyadarshini Panda, Kaushik Roy:
Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning. Neural Networks 121: 148-160 (2020) - [j3]Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy:
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28(12): 2481-2494 (2020) - [i6]Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy:
Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks? CoRR abs/2008.12016 (2020)
2010 – 2019
- 2019
- [j2]Amogh Agrawal, Akhilesh Jaiswal, Deboleena Roy, Bing Han, Gopalakrishnan Srinivasan, Aayush Ankit, Kaushik Roy:
Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(8): 3064-3076 (2019) - [c3]Deboleena Roy, Indranil Chakraborty, Kaushik Roy:
Scaling Deep Spiking Neural Networks with Binary Stochastic Activations. ICCC 2019: 50-58 - [c2]Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy:
On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. IJCNN 2019: 1-6 - [c1]Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy:
Neural Networks at the Edge. SMARTCOMP 2019: 45-50 - [i5]Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy:
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. CoRR abs/1902.00460 (2019) - [i4]Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy:
PCA-driven Hybrid network design for enabling Intelligence at the Edge. CoRR abs/1906.01493 (2019) - [i3]Deboleena Roy, Priyadarshini Panda, Kaushik Roy:
Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation. CoRR abs/1906.08861 (2019) - 2018
- [j1]Indranil Chakraborty, Deboleena Roy, Kaushik Roy:
Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars. IEEE Trans. Emerg. Top. Comput. Intell. 2(5): 335-344 (2018) - [i2]Deboleena Roy, Priyadarshini Panda, Kaushik Roy:
Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning. CoRR abs/1802.05800 (2018) - 2017
- [i1]Indranil Chakraborty, Deboleena Roy, Kaushik Roy:
Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars. CoRR abs/1711.08889 (2017)
Coauthor Index
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