| PrxCa1− xMnO3 based stochastic neuron for Boltzmann machine to solve “maximum cut” problem D Khilwani, V Moghe, S Lashkare, V Saraswat, P Kumbhare, ... APL Materials 7 (9), 2019 | 20 | 2019 |
| Transient joule heating-based oscillator neuron for neuromorphic computing S Lashkare, P Kumbhare, V Saraswat, U Ganguly IEEE Electron Device Letters 39 (9), 1437-1440, 2018 | 18 | 2018 |
| Understanding the Region of Resistance Change in Pr0.7Ca0.3MnO3 RRAM S Lashkare, V Saraswat, U Ganguly ACS Applied Electronic Materials 2 (7), 2026-2031, 2020 | 15 | 2020 |
| Quantum tunneling based ultra-compact and energy efficient spiking neuron enables hardware SNN AK Singh, V Saraswat, MS Baghini, U Ganguly IEEE Transactions on Circuits and Systems I: Regular Papers 69 (8), 3212-3224, 2022 | 14 | 2022 |
| Reaction-Drift Model for Switching Transients in Pr₀. ₇Ca₀. ₃MnO₃-Based Resistive RAM V Saraswat, S Prasad, A Khanna, A Wagh, A Bhat, N Panwar, S Lashkare, ... IEEE Transactions on Electron Devices 67 (9), 3610-3617, 2020 | 12 | 2020 |
| Predicting performance using approximate state space model for liquid state machines A Gorad, V Saraswat, U Ganguly 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 7 | 2019 |
| Hardware-friendly synaptic orders and timescales in liquid state machines for speech classification V Saraswat, A Gorad, A Naik, A Patil, U Ganguly 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 6 | 2021 |
| Fundamental Limit on Network Size Scaling of Oscillatory Neural Networks due to PrMnO3 based Oscillator Phase Noise V Saraswat, S Lashkare, P Kumbhare, U Ganguly 2019 Device Research Conference (DRC), 195-196, 2019 | 5 | 2019 |
| n-Oscillator Neural Network based Efficient Cost Function for n-city Traveling Salesman Problem S Landge, V Saraswat, SF Singh, U Ganguly 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
| Adaptive chemotaxis for improved contour tracking using spiking neural networks S Shukla, R Pathak, V Saraswat, U Ganguly Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 3 | 2020 |
| A temporally and spatially local spike-based backpropagation algorithm to enable training in hardware A Biswas, V Saraswat, U Ganguly Neuromorphic Computing and Engineering 3 (3), 034009, 2023 | 2 | 2023 |
| Stochasticity invariance control in Pr1− x Ca x MnO3 RRAM to enable large-scale stochastic recurrent neural networks V Saraswat, U Ganguly Neuromorphic Computing and Engineering 2 (1), 014001, 2021 | 2 | 2021 |
| Simplified Klinokinesis using Spiking Neural Networks for Resource-Constrained Navigation on the N euromorphic Processor Loihi A Kishore, V Saraswat, U Ganguly 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
| A Compact PrMnO3 Based Oscillator as an Alternative to CMOS Ring Oscillator in a Smart Temperature Sensor S Lashkare, P Kumbhare, V Saraswat, S Chatterjee, U Ganguly 2018 IEEE SENSORS, 1-4, 2018 | 2 | 2018 |
| FeFET-based MirrorBit cell for High-density NVM storage P Meihar, R Srinu, V Saraswat, S Lashkare, H Mulaosmanovic, AK Singh, ... IEEE Transactions on Electron Devices, 2024 | 1 | 2024 |
| Enhanced regularization for on-chip training using analog and temporary memory weights R Singhal, V Saraswat, S Deshmukh, S Subramoney, L Somappa, ... Neural Networks 165, 1050-1057, 2023 | 1 | 2023 |
| Real-world performance estimation of liquid state machines for spoken digit classification AA Kadam, A Biswas, V Saraswat, AK Singh, L Somappa, MS Baghini, ... 2023 International Joint Conference on Neural Networks (IJCNN), 1-7, 2023 | 1 | 2023 |
| Liquid State Machine on Loihi: Memory Metric for Performance Prediction R Patel, V Saraswat, U Ganguly International Conference on Artificial Neural Networks, 692-703, 2022 | 1 | 2022 |
| Thermal Engineering of Volatile Switching in PrMnO3 RRAM: Non-Linearity in DC IV Characteristics and Transient Switching Speed J Sakhuja, S Lashkare, V Saraswat, U Ganguly 2020 Device Research Conference (DRC), 1-2, 2020 | 1 | 2020 |
| System-level Impact of Non-Ideal Program-Time of Charge Trap Flash (CTF) on Deep Neural Network S Shrivastava, A Biswas, S Chakrabarty, G Dash, V Saraswat, U Ganguly arXiv preprint arXiv:2402.09792, 2024 | | 2024 |
Udayan GangulyProfessor, Electrical Engineering, IIT Bombay在 ee.iitb.ac.in 的电子邮件经过验证
