| 2022 | DATE | HyperX: A Hybrid RRAM-SRAM partitioned system for error recovery in memristive Xbars. | Adarsh Kosta, Efstathia Soufleri, Indranil Chakraborty, Amogh Agrawal, Aayush Ankit, Kaushik Roy |
| 2021 | DATE | Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives. | Nitin Rathi, Amogh Agrawal, Chankyu Lee, Adarsh Kumar Kosta, Kaushik Roy |
| 2021 | ISLPED | Enabling Robust SOT-MTJ Crossbars for Machine Learning using Sparsity-Aware Device-Circuit Co-design. | Tanvi Sharma, Cheng Wang, Amogh Agrawal, Kaushik Roy |
| 2020 | DAC | In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview. | Kaushik Roy, Indranil Chakraborty, Mustafa Fayez Ali, Aayush Ankit, Amogh Agrawal |
| 2020 | ISLPED | RAMANN: in-SRAM differentiable memory computations for memory-augmented neural networks. | Mustafa Fayez Ali, Amogh Agrawal, Kaushik Roy |
| 2019 | IJCNN | On Robustness of Spin-Orbit-Torque Based Stochastic Sigmoid Neurons for Spiking Neural Networks. | Akhilesh Jaiswal, Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Kaushik Roy |