Technology Aware Training in Memristive Neuromorphic Systems based on non-ideal Synaptic Crossbars. - Indranil Chakraborty; Deboleena Roy; Kaushik Roy 001 (CoRR, 2017)

Tree-CNN: A Deep Convolutional Neural Network for Lifelong Learning. - Deboleena Roy; Priyadarshini Panda; Kaushik Roy 001 (CoRR, 2018)

Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars. - Indranil Chakraborty; Deboleena Roy; Kaushik Roy 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

Scaling Deep Spiking Neural Networks with Binary Stochastic Activations. - Deboleena Roy; Indranil Chakraborty; Kaushik Roy 001 (ICCC, 2019)

On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. - Akhilesh Jaiswal 001; Amogh Agrawal; Indranil Chakraborty; Deboleena Roy; Kaushik Roy 001 (IJCNN, 2019)

Neural Networks at the Edge. - Deboleena Roy; Gopalakrishnan Srinivasan; Priyadarshini Panda; Richard Tomsett; Nirmit Desai; Raghu K. Ganti; Kaushik Roy 001 (SMARTCOMP, 2019)

Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. - Indranil Chakraborty; Deboleena Roy; Aayush Ankit; Kaushik Roy 001 (CoRR, 2019)

PCA-driven Hybrid network design for enabling Intelligence at the Edge. - Indranil Chakraborty; Deboleena Roy; Isha Garg; Aayush Ankit; Kaushik Roy 001 (CoRR, 2019)

Synthesizing Images from Spatio-Temporal Representations using Spike-based Backpropagation. - Deboleena Roy; Priyadarshini Panda; Kaushik Roy 001 (CoRR, 2019)

Xcel-RAM: Accelerating Binary Neural Networks in High-Throughput SRAM Compute Arrays. - Amogh Agrawal; Akhilesh Jaiswal 001; Deboleena Roy; Bing Han 006; Gopalakrishnan Srinivasan; Aayush Ankit; Kaushik Roy 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2019)

Robustness Hidden in Plain Sight: Can Analog Computing Defend Against Adversarial Attacks? - Deboleena Roy; Indranil Chakraborty; Timur Ibrayev; Kaushik Roy 001 (CoRR, 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 001 (Nat. Mach. Intell., 2020)

Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning. - Deboleena Roy; Priyadarshini Panda; Kaushik Roy 001 (Neural Networks, 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 001 (IEEE Trans. Very Large Scale Integr. Syst., 2020)

On the Intrinsic Robustness of NVM Crossbars Against Adversarial Attacks. - Deboleena Roy; Indranil Chakraborty; Timur Ibrayev; Kaushik Roy 001 (DAC, 2021)

Embracing Stochasticity to Enable Neuromorphic Computing at the Edge. - Amogh Agrawal; Deboleena Roy; Utkarsh Saxena; Kaushik Roy 001 (IEEE Des. Test, 2021)

On Noise Stability and Robustness of Adversarially Trained Networks on NVM Crossbars. - Chun Tao; Deboleena Roy; Indranil Chakraborty; Kaushik Roy 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

Meta's Second Generation AI Chip: Model-Chip Co-Design and Productionization Experiences. - Joel Coburn; Chunqiang Tang; Sameer Abu Asal; Neeraj Agrawal; Raviteja Chinta; Harish Dattatraya Dixit; Brian Dodds; Saritha Dwarakapuram; Amin Firoozshahian; Cao Gao; Kaustubh Gondkar; Tyler Graf; et al. (ISCA, 2025)