| Exploiting oxide based resistive RAM variability for Bayesian neural network hardware design A Malhotra, S Lu, K Yang, A Sengupta IEEE Transactions on Nanotechnology 19, 328-331, 2020 | 39 | 2020 |
| All-spin Bayesian neural networks K Yang, A Malhotra, S Lu, A Sengupta IEEE Transactions on Electron Devices 67 (3), 1340-1347, 2020 | 39 | 2020 |
| ADRA: Extending digital computing-in-memory with asymmetric dual-row-activation A Malhotra, AK Saha, C Wang, SK Gupta IEEE Transactions on Circuits and Systems II: Express Briefs 70 (8), 3089-3093, 2023 | 5 | 2023 |
| A real time wavelet filtering for ECG baseline wandering removal A Malhotra, A Chintanpalli 2020 International Conference on Artificial Intelligence and Signal …, 2020 | 5 | 2020 |
| XNOR-VSH: A valley-spin hall effect-based compact and energy-efficient synaptic crossbar array for binary neural networks K Cho, A Malhotra, SK Gupta IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 9 …, 2023 | 4 | 2023 |
| A novel low power non-volatile SRAM cell with self write termination K Monga, A Malhotra, N Chaturvedi, S Gurunayaranan 2019 10th International Conference on Computing, Communication and …, 2019 | 3 | 2019 |
| BNN-flip: Enhancing the fault tolerance and security of compute-in-memory enabled binary neural network accelerators A Malhotra, C Wang, SK Gupta 2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC), 146-152, 2024 | 2 | 2024 |
| Tfix: Exploiting the natural redundancy of ternary neural networks for fault tolerant in-memory vector matrix multiplication A Malhotra, C Wang, SK Gupta 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 2 | 2023 |
| FlatENN: Train flat for enhanced fault tolerance of quantized deep neural networks A Malhotra, SK Gupta arXiv preprint arXiv:2301.00675, 2022 | 2 | 2022 |
| Ribonn: Designing robust in-memory binary neural network accelerators S Kundu, A Malhotra, A Raha, SK Gupta, K Basu 2022 IEEE International Test Conference (ITC), 504-508, 2022 | 1 | 2022 |
| BinSparX: Sparsified Binary Neural Networks for Reduced Hardware Non-Idealities in Xbar Arrays A Malhotra, SK Gupta arXiv preprint arXiv:2412.03553, 2024 | | 2024 |
| SiTe CiM: Signed Ternary Computing-in-Memory for Ultra-Low Precision Deep Neural Networks N Thakuria, A Malhotra, SK Thirumala, R Elangovan, A Raghunathan, ... arXiv preprint arXiv:2408.13617, 2024 | | 2024 |
| Memory Faults in Activation-sparse Quantized Deep Neural Networks: Analysis and Mitigation using Sharpness-aware Training A Malhotra, SK Gupta arXiv preprint arXiv:2406.10528, 2024 | | 2024 |
Sumeet GuptaSchool of Electrical and Computer Engineering, Purdue UniversityZweryfikowany adres z purdue.edu