Deboleena Roy

According to our database, Deboleena Roy authored at least 17 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

On Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars.

Chun Tao, Deboleena Roy, Indranil Chakraborty, Kaushik Roy

IEEE Trans. Very Large Scale Integr. Syst., 2022

2021

Embracing Stochasticity to Enable Neuromorphic Computing at the Edge.

Amogh Agrawal, Deboleena Roy, Utkarsh Saxena, Kaushik Roy

IEEE Des. Test, 2021

On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks.

Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies.

Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy

IEEE Trans. Very Large Scale Integr. Syst., 2020

Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning.

Deboleena Roy, Priyadarshini Panda, Kaushik Roy

Neural Networks, 2020

Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence.

Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy

Nat. Mach. Intell., 2020

Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks?

Deboleena Roy, Indranil Chakraborty, Timur Ibrayev, Kaushik Roy

CoRR, 2020

2019

Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays.

Amogh Agrawal, Akhilesh Jaiswal, Deboleena Roy, Bing Han, Gopalakrishnan Srinivasan, Aayush Ankit, Kaushik Roy

IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation.

Deboleena Roy, Priyadarshini Panda, Kaushik Roy

CoRR, 2019

PCA-driven Hybrid network design for enabling Intelligence at the Edge.

Indranil Chakraborty, Deboleena Roy, Isha Garg, Aayush Ankit, Kaushik Roy

CoRR, 2019

Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge.

Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy

CoRR, 2019

Neural Networks at the Edge.

Deboleena Roy, Gopalakrishnan Srinivasan, Priyadarshini Panda, Richard Tomsett, Nirmit Desai, Raghu K. Ganti, Kaushik Roy

Proceedings of the IEEE International Conference on Smart Computing, 2019

On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks.

Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy

Proceedings of the International Joint Conference on Neural Networks, 2019

Scaling Deep Spiking Neural Networks with Binary Stochastic Activations.

Deboleena Roy, Indranil Chakraborty, Kaushik Roy

Proceedings of the 2019 IEEE International Conference on Cognitive Computing, 2019

2018

Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars.

Indranil Chakraborty, Deboleena Roy, Kaushik Roy

IEEE Trans. Emerg. Top. Comput. Intell., 2018

Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning.

Deboleena Roy, Priyadarshini Panda, Kaushik Roy

CoRR, 2018

2017

Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars.

Indranil Chakraborty, Deboleena Roy, Kaushik Roy

CoRR, 2017