Ionotronic halide perovskite drift‐diffusive synapses for low‐power neuromorphic computation RA John, N Yantara, YF Ng, G Narasimman, E Mosconi, D Meggiolaro, ... Advanced Materials 30 (51), 1805454, 2018 | 197 | 2018 |
A low-voltage, low power STDP synapse implementation using domain-wall magnets for spiking neural networks G Narasimman, S Roy, X Fong, K Roy, CH Chang, A Basu 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 914-917, 2016 | 12 | 2016 |
A 126 μW Readout Circuit in 65 nm CMOS With Successive Approximation-Based Thresholding for Domain Wall Magnet-Based Random Number Generator G Narasimman, J Basu, P Sethi, S Krishnia, C Yi, LW Siang, A Basu IEEE Sensors Journal 20 (14), 7810-7818, 2020 | 4 | 2020 |
A* HAR: a new benchmark towards semi-supervised learning for class-imbalanced human activity recognition G Narasimman, K Lu, A Raja, CS Foo, MS Aly, J Lin, V Chandrasekhar arXiv preprint arXiv:2101.04859, 2021 | 3 | 2021 |
East-dnn: Expediting architectural simulations using deep neural networks: Work-in-progress A Dutt, G Narasimman, L Jie, VR Chandrasekhar, MM Sabry Proceedings of the International Conference on Hardware/Software Codesign …, 2019 | 2 | 2019 |
Work-in-Progress: EAST-DNN: Expediting Architectural SimulaTions Using Deep Neural Networks A Dutt, G Narasimman, L Jie, VR Chandrasekhar, MM Sabry 2019 International Conference on Hardware/Software Codesign and System …, 2019 | 2* | 2019 |