Abhronil Sengupta

According to our database, Abhronil Sengupta authored at least 87 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hardware in Loop Learning with Spin Stochastic Neurons.

A. N. M. Nafiul Islam, Kezhou Yang, Amit K. Shukla, Pravin Khanal, Bowei Zhou, Weigang Wang, Abhronil Sengupta

Adv. Intell. Syst., July, 2024

Deep unsupervised learning using spike-timing-dependent plasticity.

Sen Lu, Abhronil Sengupta

Neuromorph. Comput. Eng., 2024

Rethinking Spiking Neural Networks as State Space Models.

Malyaban Bal, Abhronil Sengupta

CoRR, 2024

Benchmarking Spiking Neural Network Learning Methods with Varying Locality.

Jiaqi Lin, Sen Lu, Malyaban Bal, Abhronil Sengupta

CoRR, 2024

Equilibrium-Based Learning Dynamics in Spiking Architectures.

Malyaban Bal, Abhronil Sengupta

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures.

Jiaqi Lin, Malyaban Bal, Abhronil Sengupta

Proceedings of the International Conference on Neuromorphic Systems, 2024

Stochastic Spiking Neural Networks with First-to-Spike Coding.

Yi Jiang, Sen Lu, Abhronil Sengupta

Proceedings of the International Conference on Neuromorphic Systems, 2024

Exploring Extreme Quantization in Spiking Language Models.

Malyaban Bal, Yi Jiang, Abhronil Sengupta

Proceedings of the International Conference on Neuromorphic Systems, 2024

Device Feasibility Analysis of Multi-level FeFETs for Neuromorphic Computing.

Arnob Saha, Bibhas Manna, Sen Lu, Zhouhang Jiang, Kai Ni, Abhronil Sengupta

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

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

Malyaban Bal, Abhronil Sengupta

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy

ACM Comput. Surv., December, 2023

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

Kezhou Yang, Dhuruva Priyan G. M, Abhronil Sengupta

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2023

Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion.

Zhuangyu Han, Abhronil Sengupta

CoRR, 2023

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

Bibhas Manna, Arnob Saha, Zhouhang Jiang, Kai Ni, Abhronil Sengupta

CoRR, 2023

Delving Deeper Into Astromorphic Transformers.

Md Zesun Ahmed Mia, Malyaban Bal, Abhronil Sengupta

CoRR, 2023

Cross-Layer Optimizations for Ferroelectric Neuromorphic Computing.

A. N. M. Nafiul Islam, Kai Ni, Abhronil Sengupta

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Sequence Learning Using Equilibrium Propagation.

Malyaban Bal, Abhronil Sengupta

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Astromorphic Self-Repair of Neuromorphic Hardware Systems.

Zhuangyu Han, A. N. M. Nafiul Islam, Abhronil Sengupta

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors.

A. N. M. Nafiul Islam, Arnob Saha, Zhouhang Jiang, Kai Ni, Abhronil Sengupta

CoRR, 2022

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

Kezhou Yang, Abhronil Sengupta

CoRR, 2022

All-Electric Nonassociative Learning in Nickel Oxide.

Sandip Mondal, Zhen Zhang, A. N. M. Nafiul Islam, Robert Andrawis, Sampath Gamage, Neda Alsadat Aghamiri, Qi Wang, Hua Zhou, Fanny Rodolakis, Richard Tran, Jasleen Kaur, Chi Chen, Shyue Ping Ong, Abhronil Sengupta, Yohannes Abate, Kaushik Roy, Shriram Ramanathan

Adv. Intell. Syst., 2022

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

Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Mahmut T. Kandemir, Emre Neftci, Vijaykrishnan Narayanan, Chita R. Das

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity.

Wyler Zahm, Tyler Stern, Malyaban Bal, Abhronil Sengupta, Aswin Jose, Suhas Chelian, Srini Vasan

Proceedings of the 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, 2022

Hybrid Neuromorphic Systems: An Algorithm-Application-Hardware-Neuroscience Co-Design Perspective: Invited Special Session Paper.

Sen Lu, Abhronil Sengupta

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

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

Kaveri Mahapatra, Sen Lu, Abhronil Sengupta, Nilanjan Ray Chaudhuri

IEEE Trans. Smart Grid, 2021

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

Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

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

Arnob Saha, A. N. M. Nafiul Islam, Zijian Zhao, Shan Deng, Kai Ni, Abhronil Sengupta

CoRR, 2021

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

Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

2020

Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies.

Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy

IEEE Trans. Very Large Scale Integr. Syst., 2020

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

Aayush Ankit, Timur Ibrayev, Abhronil Sengupta, Kaushik Roy

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

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

Mehul Rastogi, Sen Lu, Abhronil Sengupta

CoRR, 2020

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

Umang Garg, Kezhou Yang, Abhronil Sengupta

CoRR, 2020

Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing.

Kaveri Mahapatra, Abhronil Sengupta, Nilanjan Ray Chaudhuri

CoRR, 2020

Exploring the Connection Between Binary and Spiking Neural Networks.

Sen Lu, Abhronil Sengupta

CoRR, 2020

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

Sonali Singh, Anup Sarma, Nicholas Jao, Ashutosh Pattnaik, Sen Lu, Kezhou Yang, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing.

Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Exploiting Oxide Based Resistive RAM Variability for Probabilistic AI Hardware Design.

Akul Malhotra, Sen Lu, Kezhou Yang, Abhronil Sengupta

CoRR, 2019

Stochastic Magnetoelectric Neuron for Temporal Information Encoding.

Kezhou Yang, Abhronil Sengupta

CoRR, 2019

All-Spin Bayesian Neural Networks.

Kezhou Yang, Akul Malhotra, Sen Lu, Abhronil Sengupta

CoRR, 2019

Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations.

Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2018

Efficient Neuromorphic Computing Enabled by Spin-Transfer Torque: Devices, Circuits and Systems

Abhronil Sengupta

PhD thesis, 2018

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

Bing Han, Aayush Ankit, Abhronil Sengupta, Kaushik Roy

IEEE Trans. Multi Scale Comput. Syst., 2018

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

Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy

IEEE Trans. Emerg. Top. Comput. Intell., 2018

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

Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan

CoRR, 2018

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

Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy

CoRR, 2018

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures.

Abhronil Sengupta, Yuting Ye, Robert Wang, Chiao Liu, Kaushik Roy

CoRR, 2018

Neuromorphic Computing Across the Stack: Devices, Circuits and Architectures.

Aayush Ankit, Abhronil Sengupta, Kaushik Roy

Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018

2017

Energy-Efficient Object Detection Using Semantic Decomposition.

Priyadarshini Panda, Swagath Venkataramani, Abhronil Sengupta, Anand Raghunathan, Kaushik Roy

IEEE Trans. Very Large Scale Integr. Syst., 2017

Energy-Efficient and Improved Image Recognition with Conditional Deep Learning.

Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy

ACM J. Emerg. Technol. Comput. Syst., 2017

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

Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy

CoRR, 2017

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

Abhronil Sengupta, Kaushik Roy

CoRR, 2017

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

Chamika M. Liyanagedera, Abhronil Sengupta, Akhilesh Jaiswal, Kaushik Roy

CoRR, 2017

Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference.

Yong Shim, Shuhan Chen, Abhronil Sengupta, Kaushik Roy

CoRR, 2017

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

Abhronil Sengupta, Aayush Ankit, Kaushik Roy

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design.

Aayush Ankit, Abhronil Sengupta, Kaushik Roy

Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017

Magnetic tunnel junction enabled all-spin stochastic spiking neural network.

Gopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks.

Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

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

Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy

IEEE Trans. Neural Networks Learn. Syst., 2016

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

Abhronil Sengupta, Kaushik Roy

IEEE Trans. Circuits Syst. I Regul. Pap., 2016

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

Xuanyao Fong, Yusung Kim, Karthik Yogendra, Deliang Fan, Abhronil Sengupta, Anand Raghunathan, Kaushik Roy

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

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

Abhronil Sengupta, Yong Shim, Kaushik Roy

IEEE Trans. Biomed. Circuits Syst., 2016

Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction.

Abhronil Sengupta, Maryam Parsa, Bing Han, Kaushik Roy

CoRR, 2016

Neuromorphic Computing Enabled by Spin-Transfer Torque Devices.

Abhronil Sengupta, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy

Proceedings of the 29th International Conference on VLSI Design and 15th International Conference on Embedded Systems, 2016

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

Abhronil Sengupta, Karthik Yogendra, Kaushik Roy

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

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

Bing Han, Abhronil Sengupta, Kaushik Roy

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Conditional Deep Learning for energy-efficient and enhanced pattern recognition.

Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy

Proceedings of the 2016 Design, Automation & Test in Europe Conference & Exhibition, 2016

Low-power approximate convolution computing unit with domain-wall motion based "spin-memristor" for image processing applications.

Yong Shim, Abhronil Sengupta, Kaushik Roy

Proceedings of the 53rd Annual Design Automation Conference, 2016

Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems.

Priyadarshini Panda, Abhronil Sengupta, Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy

Proceedings of the 53rd Annual Design Automation Conference, 2016

Toward a spintronic deep learning spiking neural processor.

Abhronil Sengupta, Bing Han, Kaushik Roy

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016

Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses.

Abhronil Sengupta, Karthik Yogendra, Deliang Fan, Kaushik Roy

Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016

2015

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

Abhronil Sengupta, Yong Shim, Kaushik Roy

CoRR, 2015

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

Abhronil Sengupta, Kaushik Roy

CoRR, 2015

Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons.

Abhronil Sengupta, Priyadarshini Panda, Parami Wijesinghe, Yusung Kim, Kaushik Roy

CoRR, 2015

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

Abhronil Sengupta, Aparajita Banerjee, Kaushik Roy

CoRR, 2015

Object Detection using Semantic Decomposition for Energy-Efficient Neural Computing.

Priyadarshini Panda, Abhronil Sengupta, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy

CoRR, 2015

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

Zubair Al Azim, Abhronil Sengupta, Syed Shakib Sarwar, Kaushik Roy

CoRR, 2015

Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing.

Abhronil Sengupta, Kaushik Roy

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

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

Saugat Bhattacharyya, Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, D. N. Tibarewala

Medical Biol. Eng. Comput., 2014

Spin Orbit Torque Based Electronic Neuron.

Abhronil Sengupta, Sri Harsha Choday, Yusung Kim, Kaushik Roy

CoRR, 2014

Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity.

Abhronil Sengupta, Zubair Al Azim, Xuanyao Fong, Kaushik Roy

CoRR, 2014

2013

3-D model assisted facial error concealment technique using regenerative particle filter based tracking.

Tathagata Chakraborti, Abhronil Sengupta, Abhishek Midya, Amit Konar, Somnath Sengupta

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

A Metaheuristic Approach to Two Dimensional Recursive Digital Filter Design.

Abhronil Sengupta, Tathagata Chakraborti, Amit Konar

Proceedings of the Advances in Heuristic Signal Processing and Applications, 2013

2012

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

Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Ramadoss Janarthanan

Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

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

Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, Eunjin Kim, Atulya K. Nagar

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Application of Swarm Intelligence to a Two-Fold Optimization Scheme for Trajectory Planning of a Robot Arm.

Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Ramadoss Janarthanan

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011

Implementation of EEG based control of remote robotic systems.

Tathagata Chakraborti, Abhronil Sengupta, Dhrubojyoti Banerjee, Amit Konar, Saugat Bhattacharyya, Anwesha Khasnobish, Ramadoss Janarthanan

Proceedings of the International Conference on Recent Trends in Information Systems, 2011

Energy efficient trajectory planning by a robot arm using invasive weed optimization technique.

Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, Atulya Nagar

Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011