Abhronil Sengupta

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 77

Top Topics

Special Session

Top Venues

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

Publications

Jiaqi Lin, Malyaban Bal, Abhronil Sengupta
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures. CoRR (2024)
Arnob Saha, Bibhas Manna, Sen Lu, Zhouhang Jiang, Kai Ni, Abhronil Sengupta
Device Feasibility Analysis of Multi-level FeFETs for Neuromorphic Computing. AICAS (2024)
Malyaban Bal, Abhronil Sengupta
Equilibrium-Based Learning Dynamics in Spiking Architectures. ISCAS (2024)
Malyaban Bal, Yi Jiang, Abhronil Sengupta
Exploring Extreme Quantization in Spiking Language Models. CoRR (2024)
Malyaban Bal, Abhronil Sengupta
Rethinking Spiking Neural Networks as State Space Models. CoRR (2024)
Malyaban Bal, Abhronil Sengupta
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. AAAI (2024)
A. N. M. Nafiul Islam, Kezhou Yang, Amit K. Shukla, Pravin Khanal, Bowei Zhou, Weigang Wang, Abhronil Sengupta
Hardware in Loop Learning with Spin Stochastic Neurons. Adv. Intell. Syst. 6 (7) (2024)
Jiaqi Lin, Sen Lu, Malyaban Bal, Abhronil Sengupta
Benchmarking Spiking Neural Network Learning Methods with Varying Locality. CoRR (2024)
Sen Lu, Abhronil Sengupta
Deep unsupervised learning using spike-timing-dependent plasticity. Neuromorph. Comput. Eng. 4 (2) (2024)
Yi Jiang, Sen Lu, Abhronil Sengupta
Stochastic Spiking Neural Networks with First-to-Spike Coding. CoRR (2024)
Kezhou Yang, Dhuruva Priyan G. M, Abhronil Sengupta
Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (10) (2023)
Malyaban Bal, Abhronil Sengupta
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. CoRR (2023)
Sen Lu, Abhronil Sengupta
Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity. CoRR (2023)
Md Zesun Ahmed Mia, Malyaban Bal, Abhronil Sengupta
Delving Deeper Into Astromorphic Transformers. CoRR (2023)
Bibhas Manna, Arnob Saha, Zhouhang Jiang, Kai Ni, Abhronil Sengupta
Variation-Resilient FeFET-Based In-Memory Computing Leveraging Probabilistic Deep Learning. CoRR (2023)
A. N. M. Nafiul Islam, Kezhou Yang, Amit K. Shukla, Pravin Khanal, Bowei Zhou, Wei-Gang Wang, Abhronil Sengupta
Hardware in Loop Learning with Spin Stochastic Neurons. CoRR (2023)
A. N. M. Nafiul Islam, Kai Ni, Abhronil Sengupta
Cross-Layer Optimizations for Ferroelectric Neuromorphic Computing. MWSCAS (2023)
Zhuangyu Han, A. N. M. Nafiul Islam, Abhronil Sengupta
Astromorphic Self-Repair of Neuromorphic Hardware Systems. AAAI (2023)
Nitin Rathi, Indranil Chakraborty, Adarsh Kosta, Abhronil Sengupta, Aayush Ankit, Priyadarshini Panda, Kaushik Roy
Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware. ACM Comput. Surv. 55 (12) (2023)
Malyaban Bal, Abhronil Sengupta
Sequence Learning Using Equilibrium Propagation. IJCAI (2023)
Zhuangyu Han, Abhronil Sengupta
Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion. CoRR (2023)
Kezhou Yang, Abhronil Sengupta
Leveraging Voltage Controlled Magnetic Anisotropy to Solve Sneak Path Issues in Crossbar Arrays. CoRR (2022)
Malyaban Bal, Abhronil Sengupta
Sequence Learning using Equilibrium Propagation. CoRR (2022)
Sen Lu, Abhronil Sengupta
Hybrid Neuromorphic Systems: An Algorithm-Application-Hardware-Neuroscience Co-Design Perspective: Invited Special Session Paper. AICAS (2022)
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
All-Electric Nonassociative Learning in Nickel Oxide. Adv. Intell. Syst. 4 (10) (2022)
Zhuangyu Han, A. N. M. Nafiul Islam, Abhronil Sengupta
Astromorphic Self-Repair of Neuromorphic Hardware Systems. CoRR (2022)
Kezhou Yang, Dhuruva Priyan G. M, Abhronil Sengupta
Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems. CoRR (2022)
Wyler Zahm, Tyler Stern, Malyaban Bal, Abhronil Sengupta, Aswin Jose, Suhas Chelian, Srini Vasan
Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity. BICA*AI (2022)
A. N. M. Nafiul Islam, Arnob Saha, Zhouhang Jiang, Kai Ni, Abhronil Sengupta
Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors. CoRR (2022)
Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Mahmut T. Kandemir, Emre Neftci, Vijaykrishnan Narayanan, Chita R. Das
Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping. MICRO (2022)
Arnob Saha, A. N. M. Nafiul Islam, Zijian Zhao, Shan Deng, Kai Ni, Abhronil Sengupta
Intrinsic synaptic plasticity of ferroelectric field effect transistors for online learning. CoRR (2021)
Kaveri Mahapatra, Sen Lu, Abhronil Sengupta, Nilanjan Ray Chaudhuri
Power System Disturbance Classification With Online Event-Driven Neuromorphic Computing. IEEE Trans. Smart Grid 12 (3) (2021)
Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan
RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (2) (2021)
Sonali Singh, Anup Sarma, Sen Lu, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das
Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors. ISLPED (2021)
Sen Lu, Abhronil Sengupta
Exploring the Connection Between Binary and Spiking Neural Networks. CoRR (2020)
Amogh Agrawal, Indranil Chakraborty, Deboleena Roy, Utkarsh Saxena, Saima Sharmin, Minsuk Koo, Yong Shim, Gopalakrishnan Srinivasan, Chamika M. Liyanagedera, Abhronil Sengupta, Kaushik Roy
Revisiting Stochastic Computing in the Era of Nanoscale Nonvolatile Technologies. IEEE Trans. Very Large Scale Integr. Syst. 28 (12) (2020)
Kaveri Mahapatra, Abhronil Sengupta, Nilanjan Ray Chaudhuri
Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing. CoRR (2020)
Umang Garg, Kezhou Yang, Abhronil Sengupta
Emulation of Astrocyte Induced Neural Phase Synchrony in Spin-Orbit Torque Oscillator Neurons. CoRR (2020)
Aayush Ankit, Timur Ibrayev, Abhronil Sengupta, Kaushik Roy
TraNNsformer: Clustered Pruning on Crossbar-Based Architectures for Energy-Efficient Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Mehul Rastogi, Sen Lu, Abhronil Sengupta
On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs. CoRR (2020)
Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy
Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. ICASSP (2020)
Sonali Singh, Anup Sarma, Nicholas Jao, Ashutosh Pattnaik, Sen Lu, Kezhou Yang, Abhronil Sengupta, Vijaykrishnan Narayanan, Chita R. Das
NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs. ISCA (2020)
Kezhou Yang, Abhronil Sengupta
Stochastic Magnetoelectric Neuron for Temporal Information Encoding. CoRR (2019)
Akul Malhotra, Sen Lu, Kezhou Yang, Abhronil Sengupta
Exploiting Oxide Based Resistive RAM Variability for Probabilistic AI Hardware Design. CoRR (2019)
Kezhou Yang, Akul Malhotra, Sen Lu, Abhronil Sengupta
All-Spin Bayesian Neural Networks. CoRR (2019)
Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan
Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. ISCAS (2019)
Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. CoRR (2018)
Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy
All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. CoRR (2018)
Aayush Ankit, Abhronil Sengupta, Kaushik Roy
Neuromorphic Computing Across the Stack: Devices, Circuits and Architectures. SiPS (2018)
Bing Han, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
Cross-Layer Design Exploration for Energy-Quality Tradeoffs in Spiking and Non-Spiking Deep Artificial Neural Networks. IEEE Trans. Multi Scale Comput. Syst. 4 (4) (2018)
Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
An All-Memristor Deep Spiking Neural Computing System: A Step Toward Realizing the Low-Power Stochastic Brain. IEEE Trans. Emerg. Top. Comput. Intell. 2 (5) (2018)
Abhronil Sengupta, Yuting Ye, Robert Wang, Chiao Liu, Kaushik Roy
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures. CoRR (2018)
Abhronil Sengupta, Kaushik Roy
Encoding Neural and Synaptic Functionalities in Electron Spin: A Pathway to Efficient Neuromorphic Computing. CoRR (2017)
Parami Wijesinghe, Aayush Ankit, Abhronil Sengupta, Kaushik Roy
An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain. CoRR (2017)
Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. CoRR (2017)
Aayush Ankit, Abhronil Sengupta, Kaushik Roy
TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design. ICCAD (2017)
Yong Shim, Shuhan Chen, Abhronil Sengupta, Kaushik Roy
Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference. CoRR (2017)
Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
Energy-Efficient and Improved Image Recognition with Conditional Deep Learning. ACM J. Emerg. Technol. Comput. Syst. 13 (3) (2017)
Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. DAC (2017)
Chamika M. Liyanagedera, Abhronil Sengupta, Akhilesh Jaiswal, Kaushik Roy
Magnetic Tunnel Junction Enabled Stochastic Spiking Neural Networks: From Non-Telegraphic to Telegraphic Switching Regime. CoRR (2017)
Abhronil Sengupta, Aayush Ankit, Kaushik Roy
Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). IJCNN (2017)
Priyadarshini Panda, Swagath Venkataramani, Abhronil Sengupta, Anand Raghunathan, Kaushik Roy
Energy-Efficient Object Detection Using Semantic Decomposition. IEEE Trans. Very Large Scale Integr. Syst. 25 (9) (2017)
Gopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy
Magnetic tunnel junction enabled all-spin stochastic spiking neural network. DATE (2017)
Aayush Ankit, Abhronil Sengupta, Kaushik Roy
TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design. CoRR (2017)
Yong Shim, Abhronil Sengupta, Kaushik Roy
Low-power approximate convolution computing unit with domain-wall motion based "spin-memristor" for image processing applications. DAC (2016)
Bing Han, Abhronil Sengupta, Kaushik Roy
On the energy benefits of spiking deep neural networks: A case study. IJCNN (2016)
Abhronil Sengupta, Kaushik Roy
A Vision for All-Spin Neural Networks: A Device to System Perspective. IEEE Trans. Circuits Syst. I Regul. Pap. (12) (2016)
Abhronil Sengupta, Yong Shim, Kaushik Roy
Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets. IEEE Trans. Biomed. Circuits Syst. 10 (6) (2016)
Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
Conditional Deep Learning for energy-efficient and enhanced pattern recognition. DATE (2016)
Abhronil Sengupta, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy
Neuromorphic Computing Enabled by Spin-Transfer Torque Devices. VLSI Design (2016)
Abhronil Sengupta, Karthik Yogendra, Kaushik Roy
Spintronic devices for ultra-low power neuromorphic computation (Special session paper). ISCAS (2016)
Abhronil Sengupta, Maryam Parsa, Bing Han, Kaushik Roy
Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction. CoRR (2016)
Xuanyao Fong, Yusung Kim, Karthik Yogendra, Deliang Fan, Abhronil Sengupta, Anand Raghunathan, Kaushik Roy
Spin-Transfer Torque Devices for Logic and Memory: Prospects and Perspectives. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (1) (2016)
Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy
Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. IEEE Trans. Neural Networks Learn. Syst. 27 (9) (2016)
Abhronil Sengupta, Bing Han, Kaushik Roy
Toward a spintronic deep learning spiking neural processor. BioCAS (2016)
Abhronil Sengupta, Karthik Yogendra, Deliang Fan, Kaushik Roy
Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. ASP-DAC (2016)
Priyadarshini Panda, Abhronil Sengupta, Syed Shakib Sarwar, Gopalakrishnan Srinivasan, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy
Invited - Cross-layer approximations for neuromorphic computing: from devices to circuits and systems. DAC (2016)
Zubair Al Azim, Abhronil Sengupta, Syed Shakib Sarwar, Kaushik Roy
Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects. CoRR (2015)
Abhronil Sengupta, Aparajita Banerjee, Kaushik Roy
Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems. CoRR (2015)
Abhronil Sengupta, Kaushik Roy
Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing. IJCNN (2015)
Abhronil Sengupta, Yong Shim, Kaushik Roy
Simulation studies of an All-Spin Artificial Neural Network: Emulating neural and synaptic functionalities through domain wall motion in ferromagnets. CoRR (2015)
Priyadarshini Panda, Abhronil Sengupta, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy
Object Detection using Semantic Decomposition for Energy-Efficient Neural Computing. CoRR (2015)
Abhronil Sengupta, Priyadarshini Panda, Parami Wijesinghe, Yusung Kim, Kaushik Roy
Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons. CoRR (2015)
Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy
Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition. CoRR (2015)
Abhronil Sengupta, Kaushik Roy
Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses. CoRR (2015)
Abhronil Sengupta, Zubair Al Azim, Xuanyao Fong, Kaushik Roy
Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity. CoRR (2014)
Abhronil Sengupta, Sri Harsha Choday, Yusung Kim, Kaushik Roy
Spin Orbit Torque Based Electronic Neuron. CoRR (2014)
Saugat Bhattacharyya, Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, D. N. Tibarewala
Automatic feature selection of motor imagery EEG signals using differential evolution and learning automata. Medical Biol. Eng. Comput. 52 (2) (2014)
Deliang Fan, Mrigank Sharad, Abhronil Sengupta, Kaushik Roy
Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing. CoRR (2014)
Tathagata Chakraborti, Abhronil Sengupta, Abhishek Midya, Amit Konar, Somnath Sengupta
3-D model assisted facial error concealment technique using regenerative particle filter based tracking. ICME Workshops (2013)
Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, Eunjin Kim, Atulya K. Nagar
An Adaptive Memetic Algorithm using a synergy of Differential Evolution and Learning Automata. IEEE Congress on Evolutionary Computation (2012)
Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Ramadoss Janarthanan
A heuristic approach to 3D face modelling for efficient face recognition. HIS (2012)
Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Ramadoss Janarthanan
Application of Swarm Intelligence to a Two-Fold Optimization Scheme for Trajectory Planning of a Robot Arm. SEMCCO (2) (2011)
Tathagata Chakraborti, Abhronil Sengupta, Dhrubojyoti Banerjee, Amit Konar, Saugat Bhattacharyya, Anwesha Khasnobish, Ramadoss Janarthanan
Implementation of EEG based control of remote robotic systems. ReTIS (2011)
Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, Atulya Nagar
Energy efficient trajectory planning by a robot arm using invasive weed optimization technique. NaBIC (2011)