Toward fast neural computing using all-photonic phase change spiking neurons I Chakraborty, G Saha, A Sengupta, K Roy Scientific reports 8 (1), 1-9, 2018 | 192 | 2018 |
8T SRAM Cell as a Multibit Dot-Product Engine for Beyond Von Neumann Computing A Jaiswal, I Chakraborty, A Agrawal, K Roy IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2019 | 167 | 2019 |
Pathways to efficient neuromorphic computing with non-volatile memory technologies I Chakraborty, A Jaiswal, AK Saha, SK Gupta, K Roy Applied Physics Reviews 7 (2), 021308, 2020 | 130 | 2020 |
Photonic In-Memory Computing Primitive for Spiking Neural Networks Using Phase-Change Materials I Chakraborty, G Saha, K Roy Physical Review Applied 11 (1), 014063, 2019 | 122 | 2019 |
IMAC: In-Memory Multi-Bit Multiplication and ACcumulation in 6T SRAM Array M Ali, A Jaiswal, S Kodge, A Agrawal, I Chakraborty, K Roy IEEE Transactions on Circuits and Systems I: Regular Papers, 2020 | 102 | 2020 |
Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars I Chakraborty, D Roy, K Roy IEEE Transactions on Emerging Topics in Computational Intelligence 2 (5 …, 2018 | 86 | 2018 |
GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks I Chakraborty, MF Ali, DE Kim, A Ankit, K Roy 2020 57th ACM/IEEE Design Automation Conference, 2020 | 85 | 2020 |
Resistive Crossbars as Approximate Hardware Building Blocks for Machine Learning: Opportunities and Challenges I Chakraborty, M Ali, A Ankit, S Jain, S Roy, S Sridharan, A Agrawal, ... Proceedings of the IEEE, 2020 | 79 | 2020 |
Discretization based solutions for secure machine learning against adversarial attacks P Panda, I Chakraborty, K Roy IEEE Access 7, 70157-70168, 2019 | 63 | 2019 |
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware N Rathi, I Chakraborty, A Kosta, A Sengupta, A Ankit, P Panda, K Roy ACM Computing Surveys, 2022 | 60 | 2022 |
In-Memory Computing in Emerging Memory Technologies for Machine Learning: An Overview K Roy, I Chakraborty, M Ali, A Ankit, A Agrawal 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 59 | 2020 |
Constructing energy-efficient mixed-precision neural networks through principal component analysis for edge intelligence I Chakraborty, D Roy, I Garg, A Ankit, K Roy Nature Machine Intelligence 2 (1), 43-55, 2020 | 54* | 2020 |
Perovskite nickelates as bio-electronic interfaces HT Zhang, F Zuo, F Li, H Chan, Q Wu, Z Zhang, B Narayanan, ... Nature communications 10 (1), 1-7, 2019 | 45 | 2019 |
Design of a low-voltage analog-to-digital converter using voltage-controlled stochastic switching of low barrier nanomagnets I Chakraborty, A Agrawal, K Roy IEEE Magnetics Letters 9, 1-5, 2018 | 39 | 2018 |
Self-Heating During submicrosecond Current Transients in Pr0.7Ca0.3MnO3-Based RRAM N Panwar, A Khanna, P Kumbhare, I Chakraborty, U Ganguly IEEE Transactions on Electron Devices 64 (1), 137-144, 2016 | 33 | 2016 |
Memory Performance of a Simple Pr0.7Ca0.3MnO3-Based Selectorless RRAM P Kumbhare, I Chakraborty, A Khanna, U Ganguly IEEE Transactions on Electron Devices 64 (9), 3967-3970, 2017 | 32 | 2017 |
Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators A Ankit, I Chakraborty, A Agrawal, M Ali, K Roy IEEE Micro 40 (6), 8-22, 2020 | 26 | 2020 |
Neural network accelerator design with resistive crossbars: Opportunities and challenges S Jain, A Ankit, I Chakraborty, T Gokmen, M Rasch, W Haensch, K Roy, ... IBM Journal of Research and Development 63 (6), 10: 1-10: 13, 2019 | 25 | 2019 |
Scaling Deep Spiking Neural Networks with Binary Stochastic Activations D Roy, I Chakraborty, K Roy 2019 IEEE International Conference on Cognitive Computing (ICCC), 50-58, 2019 | 25 | 2019 |
A 35.5-127.2 TOPS/W Dynamic Sparsity-Aware Reconfigurable-Precision Compute-in-Memory SRAM Macro for Machine Learning M Ali, I Chakraborty, U Saxena, A Agrawal, A Ankit, K Roy IEEE Solid-State Circuits Letters, 2021 | 22 | 2021 |