Abhronil Sengupta

发表

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

Kaushik Roy, Abhronil Sengupta, Robert Wang, 2018, Front. Neurosci..

Energy-Efficient Object Detection Using Semantic Decomposition

K. Roy, A. Raghunathan, Swagath Venkataramani, 2015, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Magnetic Tunnel Junction as an On-Chip Temperature Sensor

K. Roy, Abhronil Sengupta, B. Jung, 2017, Scientific Reports.

An Intelligent Invasive Weed Optimization : a Q-learning Approach

A. Nagar, A. Konar, T. Chakraborti, 2012 .

Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity pdf

Kaushik Roy, Xuanyao Fong, Abhronil Sengupta, 2014, ArXiv.

Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors

K. Ni, Abhronil Sengupta, Arnob Saha, 2022, 2209.13685.

Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems

Abhronil Sengupta, Kezhou Yang, M. DhuruvaPriyanG, 2022, ArXiv.

Sequence Learning using Equilibrium Propagation

Abhronil Sengupta, Malyaban Bal, 2022, ArXiv.

All‐Electric Nonassociative Learning in Nickel Oxide

Chi Chen, S. Ong, K. Roy, 2022, Adv. Intell. Syst..

Synthesis and electrical behavior of VO2 thin films grown on SrRuO3 electrode layers

Abhronil Sengupta, S. Ramanathan, S. Priya, 2022, Journal of Vacuum Science & Technology A.

Leveraging Voltage Controlled Magnetic Anisotropy to Solve Sneak Path Issues in Crossbar Arrays

Abhronil Sengupta, Kezhou Yang, 2022, ArXiv.

Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware

I. Chakraborty, Abhronil Sengupta, P. Panda, 2022, ACM Computing Surveys.

Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors

K. Ni, Abhronil Sengupta, Nafiul Islam, 2022, Applied Physics Letters.

Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping

Mahmut T. Kandemir, C. Das, N. Vijaykrishnan, 2022, 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO).

Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems

Abhronil Sengupta, Kezhou Yang, M. DhuruvaPriyanG, 2022, ArXiv.

Stochastic Magnetoelectric Neuron for Temporal Information Encoding

Abhronil Sengupta, Kezhou Yang, 2019, Applied Physics Letters.

An Adaptive Memetic Algorithm using a synergy of Differential Evolution and Learning Automata

Amit Konar, Eunjin Kim, Atulya K. Nagar, 2012, 2012 IEEE Congress on Evolutionary Computation.

A Multi-Objective Memetic Optimization Approach to the Circular Antenna Array Design Problem

Amit Konar, Atulya K. Nagar, Tathagata Chakraborti, 2012 .

Automatic feature selection of motor imagery EEG signals using differential evolution and learning automata

Amit Konar, Tathagata Chakraborti, D. N. Tibarewala, 2013, Medical & Biological Engineering & Computing.

Encoding Neural and Synaptic Functionalities in Electron Spin: A Pathway to Efficient Neuromorphic Computing pdf

Kaushik Roy, Abhronil Sengupta, K. Roy, 2017, ArXiv.

Spin and Charge Interconversion in Dirac-Semimetal Thin Films

Binghai Yan, Abhronil Sengupta, J. Borchers, 2021, Physical Review Applied.

Implementation of EEG based control of remote robotic systems

Amit Konar, Tathagata Chakraborti, Ramadoss Janarthanan, 2011, 2011 International Conference on Recent Trends in Information Systems.

An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain pdf

Kaushik Roy, Parami Wijesinghe, Abhronil Sengupta, 2017, ArXiv.

Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons

Kaushik Roy, Parami Wijesinghe, Priyadarshini Panda, 2015, Scientific Reports.

Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses pdf

Kaushik Roy, Abhronil Sengupta, K. Roy, 2015, ArXiv.

Emulation of Astrocyte Induced Neural Phase Synchrony in Spin-Orbit Torque Oscillator Neurons pdf

Abhronil Sengupta, Umang Garg, Kezhou Yang, 2020, Frontiers in Neuroscience.

On the energy benefits of spiking deep neural networks: A case study

Kaushik Roy, Bing Han, Abhronil Sengupta, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware

I. Chakraborty, Abhronil Sengupta, P. Panda, 2022, ACM Comput. Surv..

All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light pdf

Kaushik Roy, Indranil Chakraborty, Gobinda Saha, 2018, ArXiv.

Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons

Indranil Chakraborty, Gobinda Saha, Kaushik Roy, 2018, Scientific Reports.

TraNNsformer: Clustered Pruning on Crossbar-Based Architectures for Energy-Efficient Neural Networks

Kaushik Roy, Timur Ibrayev, Aayush Ankit, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Stochastic Spiking Neural Networks Enabled by Magnetic Tunnel Junctions: From Nontelegraphic to Telegraphic Switching Regimes

Kaushik Roy, Chamika M. Liyanagedera, Abhronil Sengupta, 2017 .

Magnetic Tunnel Junction Based Long-Term Short-Term Stochastic Synapse for a Spiking Neural Network with On-Chip STDP Learning

Kaushik Roy, Gopalakrishnan Srinivasan, Abhronil Sengupta, 2016, Scientific Reports.

Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems pdf

Kaushik Roy, Abhronil Sengupta, Aparajita Banerjee, 2015, ArXiv.

NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs

Chita R. Das, Narayanan Vijaykrishnan, Sen Lu, 2020, 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA).

Exploring the Connection Between Binary and Spiking Neural Networks

Sen Lu, Abhronil Sengupta, Abhronil Sengupta, 2020, Frontiers in Neuroscience.

RESPARC: A reconfigurable and energy-efficient architecture with Memristive Crossbars for deep Spiking Neural Networks

Kaushik Roy, Priyadarshini Panda, Abhronil Sengupta, 2017, 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC).

A Vision for All-Spin Neural Networks: A Device to System Perspective

Abhronil Sengupta, Kaushik Roy, K. Roy, 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.

Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction

Kaushik Roy, Bing Han, Abhronil Sengupta, 2016, IEEE Transactions on Electron Devices.

Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives

Kaushik Roy, Karthik Yogendra, Anand Raghunathan, 2016, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Magnetic Skyrmion as a Spintronic Deep Learning Spiking Neuron Processor

Kaushik Roy, Mei-Chin Chen, Abhronil Sengupta, 2018, IEEE Transactions on Magnetics.

Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference

K. Roy, Abhronil Sengupta, Yong Shim, 2017, Scientific Reports.

Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper)

Kaushik Roy, Abhronil Sengupta, Aayush Ankit, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Magnetic tunnel junction enabled all-spin stochastic spiking neural network

Kaushik Roy, Gopalakrishnan Srinivasan, Abhronil Sengupta, 2017, Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017.

Reconfigurable perovskite nickelate electronics for artificial intelligence

C. Teuscher, Abhronil Sengupta, S. Ramanathan, 2022, Science.

Complex oxides for brain-inspired computing: A review.

Alexander A. Chubykin, Abhronil Sengupta, S. Ramanathan, 2022, Advanced materials.

Spin-Torque Sensors for Energy Efficient High-Speed Long Interconnects

Kaushik Roy, Syed Shakib Sarwar, Abhronil Sengupta, 2015, IEEE Transactions on Electron Devices.

Perspective: Stochastic magnetic devices for cognitive computing

Kaushik Roy, Abhronil Sengupta, Yong Shim, 2018, Journal of Applied Physics.

Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing

Kaushik Roy, Mrigank Sharad, Deliang Fan, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets

Kaushik Roy, Abhronil Sengupta, Yong Shim, 2015, IEEE Transactions on Biomedical Circuits and Systems.

Conditional Deep Learning for energy-efficient and enhanced pattern recognition

Kaushik Roy, Priyadarshini Panda, Abhronil Sengupta, 2015, 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Energy-Efficient and Improved Image Recognition with Conditional Deep Learning

Kaushik Roy, Priyadarshini Panda, Abhronil Sengupta, 2017, ACM J. Emerg. Technol. Comput. Syst..

A heuristic approach to 3D face modelling for efficient face recognition

Amit Konar, Tathagata Chakraborti, Ramadoss Janarthanan, 2012, 2012 12th International Conference on Hybrid Intelligent Systems (HIS).

Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing

Kaushik Roy, Abhronil Sengupta, K. Roy, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Spintronic devices for ultra-low power neuromorphic computation (Special session paper)

Kaushik Roy, Karthik Yogendra, Abhronil Sengupta, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

Neuromorphic Computing Enabled by Spin-Transfer Torque Devices

Kaushik Roy, Anand Raghunathan, Priyadarshini Panda, 2016, 2016 29th International Conference on VLSI Design and 2016 15th International Conference on Embedded Systems (VLSID).

Selective area doping for Mott neuromorphic electronics

Abhronil Sengupta, S. Ramanathan, S. Sankaranarayanan, 2023, Science advances.

Spin Orbit Torque Based Electronic Neuron pdf

Kaushik Roy, Abhronil Sengupta, Yusung Kim, 2014, ArXiv.

Sequence Learning using Equilibrium Propagation

Abhronil Sengupta, Malyaban Bal, 2022, ArXiv.

Exploiting Oxide Based Resistive RAM Variability for Bayesian Neural Network Hardware Design

Abhronil Sengupta, Kezhou Yang, Sen Lu, 2020, IEEE Transactions on Nanotechnology.

RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars

Kaushik Roy, Anand Raghunathan, Shubham Jain, 2018, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs

Abhronil Sengupta, Sen Lu, Mehul Rastogi, 2020, Frontiers in Neuroscience.

Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference

Kaushik Roy, Shuhan Chen, Abhronil Sengupta, 2017, Scientific Reports.

Neuromorphic computing enabled by physics of electron spins: Prospects and perspectives

Kaushik Roy, Abhronil Sengupta, K. Roy, 2018 .

Toward a spintronic deep learning spiking neural processor

Kaushik Roy, Bing Han, Abhronil Sengupta, 2016, 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS).

Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars pdf

Kaushik Roy, Anand Raghunathan, Shubham Jain, 2018, ArXiv.

Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors

Chita R. Das, Narayanan Vijaykrishnan, Abhronil Sengupta, 2021, 2021 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED).

All-Spin Bayesian Neural Networks

Abhronil Sengupta, Kezhou Yang, Sen Lu, 2019, IEEE Transactions on Electron Devices.

Biased Random Walk Using Stochastic Switching of Nanomagnets: Application to SAT Solver

Kaushik Roy, Abhronil Sengupta, Yong Shim, 2018, IEEE Transactions on Electron Devices.

Hardware in Loop Learning with Spin Stochastic Neurons

Abhronil Sengupta, Bowei Zhou, A. N. M. N. Islam, 2023, arXiv.org.

Intrinsic synaptic plasticity of ferroelectric field effect transistors for online learning pdf

Abhronil Sengupta, Arnob Saha, Kai Ni, 2021, Applied Physics Letters.

Sequence Learning using Equilibrium Propagation

Abhronil Sengupta, Malyaban Bal, 2022, IJCAI.

Cross-Layer Design Exploration for Energy-Quality Tradeoffs in Spiking and Non-Spiking Deep Artificial Neural Networks

Kaushik Roy, Abhronil Sengupta, Bing Han, 2018, IEEE Transactions on Multi-Scale Computing Systems.

An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain

Parami Wijesinghe, Kaushik Roy, Abhronil Sengupta, 2017, IEEE Transactions on Emerging Topics in Computational Intelligence.

Variation-Resilient FeFET-Based In-Memory Computing Leveraging Probabilistic Deep Learning

Abhronil Sengupta, Zhouhang Jiang, A. Saha, 2023, 2312.15444.

A Metaheuristic Approach to Two Dimensional Recursive Digital Filter Design

Amit Konar, Tathagata Chakraborti, Abhronil Sengupta, 2013, Advances in Heuristic Signal Processing and Applications.

Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies

Kaushik Roy, Chamika M. Liyanagedera, Minsuk Koo, 2020, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Simulation studies of an All-Spin Artificial Neural Network: Emulating neural and synaptic functionalities through domain wall motion in ferromagnets pdf

Kaushik Roy, Abhronil Sengupta, Yong Shim, 2015, ArXiv.

Magnetic Tunnel Junction Enabled Stochastic Spiking Neural Networks: From Non-Telegraphic to Telegraphic Switching Regime pdf

Kaushik Roy, Chamika M. Liyanagedera, Abhronil Sengupta, 2017, ArXiv.

Efficient Neuromorphic Systems and Emerging Technologies: Prospects and Perspectives

Kaushik Roy, Abhronil Sengupta, Aayush Ankit, 2017 .

Power System Disturbance Classification With Online Event-Driven Neuromorphic Computing pdf

Nilanjan Ray Chaudhuri, Kaveri Mahapatra, Abhronil Sengupta, 2020, IEEE Transactions on Smart Grid.

SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation

Abhronil Sengupta, Malyaban Bal, 2023, AAAI.

Deep unsupervised learning using spike-timing-dependent plasticity

Abhronil Sengupta, Sen Lu, 2023, Neuromorph. Comput. Eng..