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2020 – today
- 2024
[j18]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)- [j17]Sen Lu, Abhronil Sengupta:
Deep unsupervised learning using spike-timing-dependent plasticity. Neuromorph. Comput. Eng. 4(2): 24004 (2024) - [c33]Malyaban Bal, Abhronil Sengupta:
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. AAAI 2024: 10998-11006 - [c32]Arnob Saha, Bibhas Manna, Sen Lu, Zhouhang Jiang, Kai Ni, Abhronil Sengupta:
Device Feasibility Analysis of Multi-level FeFETs for Neuromorphic Computing. AICAS 2024: 327-331 - [c31]Malyaban Bal, Abhronil Sengupta:
Equilibrium-Based Learning Dynamics in Spiking Architectures. ISCAS 2024: 1-5 - [i44]Jiaqi Lin, Sen Lu, Malyaban Bal, Abhronil Sengupta:
Benchmarking Spiking Neural Network Learning Methods with Varying Locality. CoRR abs/2402.01782 (2024) - [i43]Yi Jiang, Sen Lu, Abhronil Sengupta:
Stochastic Spiking Neural Networks with First-to-Spike Coding. CoRR abs/2404.17719 (2024) - [i42]Malyaban Bal, Yi Jiang, Abhronil Sengupta:
Exploring Extreme Quantization in Spiking Language Models. CoRR abs/2405.02543 (2024) - [i41]Jiaqi Lin, Malyaban Bal, Abhronil Sengupta:
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures. CoRR abs/2405.02546 (2024) - [i40]Malyaban Bal, Abhronil Sengupta:
Rethinking Spiking Neural Networks as State Space Models. CoRR abs/2406.02923 (2024) - 2023
- [j16]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): 243:1-243:49 (2023) - [j15]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): 3464-3468 (2023) - [c30]Zhuangyu Han, A. N. M. Nafiul Islam, Abhronil Sengupta:
Astromorphic Self-Repair of Neuromorphic Hardware Systems. AAAI 2023: 7821-7829 - [c29]Malyaban Bal, Abhronil Sengupta:
Sequence Learning Using Equilibrium Propagation. IJCAI 2023: 2949-2957 - [c28]A. N. M. Nafiul Islam, Kai Ni, Abhronil Sengupta:
Cross-Layer Optimizations for Ferroelectric Neuromorphic Computing. MWSCAS 2023: 108-112 - [i39]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. CoRR abs/2305.03235 (2023) - [i38]Sen Lu, Abhronil Sengupta:
Deep Unsupervised Learning Using Spike-Timing-Dependent Plasticity. CoRR abs/2307.04054 (2023) - [i37]Malyaban Bal, Abhronil Sengupta:
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. CoRR abs/2308.10873 (2023) - [i36]Md Zesun Ahmed Mia, Malyaban Bal, Abhronil Sengupta:
Delving Deeper Into Astromorphic Transformers. CoRR abs/2312.10925 (2023) - [i35]Bibhas Manna, Arnob Saha, Zhouhang Jiang, Kai Ni, Abhronil Sengupta:
Variation-Resilient FeFET-Based In-Memory Computing Leveraging Probabilistic Deep Learning. CoRR abs/2312.15444 (2023) - [i34]Zhuangyu Han, Abhronil Sengupta:
Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion. CoRR abs/2312.15805 (2023) - 2022
- [j14]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) - [c27]Sen Lu, Abhronil Sengupta:
Hybrid Neuromorphic Systems: An Algorithm-Application-Hardware-Neuroscience Co-Design Perspective: Invited Special Session Paper. AICAS 2022: 210-213 - [c26]Wyler Zahm, Tyler Stern, Malyaban Bal, Abhronil Sengupta, Aswin Jose, Suhas Chelian, Srini Vasan:
Cyber-Neuro RT: Real-time Neuromorphic Cybersecurity. BICA*AI 2022: 536-545 - [c25]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: 565-581 - [i33]Zhuangyu Han, A. N. M. Nafiul Islam, Abhronil Sengupta:
Astromorphic Self-Repair of Neuromorphic Hardware Systems. CoRR abs/2209.07428 (2022) - [i32]Malyaban Bal, Abhronil Sengupta:
Sequence Learning using Equilibrium Propagation. CoRR abs/2209.09626 (2022) - [i31]Kezhou Yang, Abhronil Sengupta:
Leveraging Voltage Controlled Magnetic Anisotropy to Solve Sneak Path Issues in Crossbar Arrays. CoRR abs/2209.13677 (2022) - [i30]A. N. M. Nafiul Islam, Arnob Saha, Zhouhang Jiang, Kai Ni, Abhronil Sengupta:
Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors. CoRR abs/2209.13685 (2022) - [i29]Kezhou Yang, Dhuruva Priyan G. M, Abhronil Sengupta:
Leveraging Probabilistic Switching in Superparamagnets for Temporal Information Encoding in Neuromorphic Systems. CoRR abs/2209.15186 (2022) - 2021
- [j13]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): 326-338 (2021) - [j12]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): 2343-2354 (2021) - [c24]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: 1-6 - [i28]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 abs/2107.13088 (2021) - 2020
- [j11]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): 2361-2374 (2020) - [j10]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): 2481-2494 (2020) - [c23]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: 8549-8553 - [c22]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: 363-376 - [i27]Sen Lu, Abhronil Sengupta:
Exploring the Connection Between Binary and Spiking Neural Networks. CoRR abs/2002.10064 (2020) - [i26]Kaveri Mahapatra, Abhronil Sengupta, Nilanjan Ray Chaudhuri:
Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing. CoRR abs/2006.06682 (2020) - [i25]Umang Garg, Kezhou Yang, Abhronil Sengupta:
Emulation of Astrocyte Induced Neural Phase Synchrony in Spin-Orbit Torque Oscillator Neurons. CoRR abs/2007.00776 (2020) - [i24]Mehul Rastogi, Sen Lu, Abhronil Sengupta:
On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs. CoRR abs/2009.03473 (2020)
2010 – 2019
- 2019
- [c21]Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan:
Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. ISCAS 2019: 1-5 - [i23]Kezhou Yang, Akul Malhotra, Sen Lu, Abhronil Sengupta:
All-Spin Bayesian Neural Networks. CoRR abs/1911.05828 (2019) - [i22]Kezhou Yang, Abhronil Sengupta:
Stochastic Magnetoelectric Neuron for Temporal Information Encoding. CoRR abs/1911.07153 (2019) - [i21]Akul Malhotra, Sen Lu, Kezhou Yang, Abhronil Sengupta:
Exploiting Oxide Based Resistive RAM Variability for Probabilistic AI Hardware Design. CoRR abs/1911.08555 (2019) - 2018
- [b1]Abhronil Sengupta:
Efficient Neuromorphic Computing Enabled by Spin-Transfer Torque: Devices, Circuits and Systems. Purdue University, USA, 2018 - [j9]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): 345-358 (2018) - [j8]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): 613-623 (2018) - [c20]Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
Neuromorphic Computing Across the Stack: Devices, Circuits and Architectures. SiPS 2018: 1-6 - [i20]Abhronil Sengupta, Yuting Ye, Robert Wang, Chiao Liu, Kaushik Roy:
Going Deeper in Spiking Neural Networks: VGG and Residual Architectures. CoRR abs/1802.02627 (2018) - [i19]Indranil Chakraborty, Gobinda Saha, Abhronil Sengupta, Kaushik Roy:
All-Photonic Phase Change Spiking Neuron: Toward Fast Neural Computing using Light. CoRR abs/1804.00267 (2018) - [i18]Shubham Jain, Abhronil Sengupta, Kaushik Roy, Anand Raghunathan:
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. CoRR abs/1809.00072 (2018) - 2017
- [j7]Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy:
Energy-Efficient and Improved Image Recognition with Conditional Deep Learning. ACM J. Emerg. Technol. Comput. Syst. 13(3): 33:1-33:21 (2017) - [j6]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): 2673-2677 (2017) - [c19]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: 27:1-27:6 - [c18]Gopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy:
Magnetic tunnel junction enabled all-spin stochastic spiking neural network. DATE 2017: 530-535 - [c17]Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design. ICCAD 2017: 533-540 - [c16]Abhronil Sengupta, Aayush Ankit, Kaushik Roy:
Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). IJCNN 2017: 4557-4563 - [i17]Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy:
RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. CoRR abs/1702.06064 (2017) - [i16]Yong Shim, Shuhan Chen, Abhronil Sengupta, Kaushik Roy:
Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference. CoRR abs/1707.04687 (2017) - [i15]Aayush Ankit, Abhronil Sengupta, Kaushik Roy:
TraNNsformer: Neural Network Transformation for Memristive Crossbar based Neuromorphic System Design. CoRR abs/1708.07949 (2017) - [i14]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 abs/1709.09247 (2017) - [i13]Abhronil Sengupta, Kaushik Roy:
Encoding Neural and Synaptic Functionalities in Electron Spin: A Pathway to Efficient Neuromorphic Computing. CoRR abs/1711.02235 (2017) - [i12]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 abs/1712.01472 (2017) - 2016
- [j5]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): 1152-1160 (2016) - [j4]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): 1-22 (2016) - [j3]Abhronil Sengupta, Kaushik Roy:
A Vision for All-Spin Neural Networks: A Device to System Perspective. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(12): 2267-2277 (2016) - [j2]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): 1907-1919 (2016) - [c15]Abhronil Sengupta, Karthik Yogendra, Deliang Fan, Kaushik Roy:
Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. ASP-DAC 2016: 115-120 - [c14]Abhronil Sengupta, Bing Han, Kaushik Roy:
Toward a spintronic deep learning spiking neural processor. BioCAS 2016: 544-547 - [c13]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: 21:1-21:6 - [c12]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: 98:1-98:6 - [c11]Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy:
Conditional Deep Learning for energy-efficient and enhanced pattern recognition. DATE 2016: 475-480 - [c10]Bing Han, Abhronil Sengupta, Kaushik Roy:
On the energy benefits of spiking deep neural networks: A case study. IJCNN 2016: 971-976 - [c9]Abhronil Sengupta, Karthik Yogendra, Kaushik Roy:
Spintronic devices for ultra-low power neuromorphic computation (Special session paper). ISCAS 2016: 922-925 - [c8]Abhronil Sengupta, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy:
Neuromorphic Computing Enabled by Spin-Transfer Torque Devices. VLSID 2016: 32-37 - [i11]Abhronil Sengupta, Maryam Parsa, Bing Han, Kaushik Roy:
Probabilistic Deep Spiking Neural Systems Enabled by Magnetic Tunnel Junction. CoRR abs/1605.04494 (2016) - 2015
- [c7]Abhronil Sengupta, Kaushik Roy:
Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing. IJCNN 2015: 1-7 - [i10]Priyadarshini Panda, Abhronil Sengupta, Swagath Venkataramani, Anand Raghunathan, Kaushik Roy:
Object Detection using Semantic Decomposition for Energy-Efficient Neural Computing. CoRR abs/1509.08970 (2015) - [i9]Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy:
Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition. CoRR abs/1509.08971 (2015) - [i8]Abhronil Sengupta, Aparajita Banerjee, Kaushik Roy:
Hybrid Spintronic-CMOS Spiking Neural Network With On-Chip Learning: Devices, Circuits and Systems. CoRR abs/1510.00432 (2015) - [i7]Abhronil Sengupta, Priyadarshini Panda, Parami Wijesinghe, Yusung Kim, Kaushik Roy:
Magnetic Tunnel Junction Mimics Stochastic Cortical Spiking Neurons. CoRR abs/1510.00440 (2015) - [i6]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 abs/1510.00459 (2015) - [i5]Abhronil Sengupta, Kaushik Roy:
Short-Term Plasticity and Long-Term Potentiation in Magnetic Tunnel Junctions: Towards Volatile Synapses. CoRR abs/1511.00051 (2015) - [i4]Zubair Al Azim, Abhronil Sengupta, Syed Shakib Sarwar, Kaushik Roy:
Spin-Torque Sensors for Energy Efficient High Speed Long Interconnects. CoRR abs/1512.00762 (2015) - 2014
- [j1]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): 131-139 (2014) - [i3]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 abs/1402.2902 (2014) - [i2]Abhronil Sengupta, Sri Harsha Choday, Yusung Kim, Kaushik Roy:
Spin Orbit Torque Based Electronic Neuron. CoRR abs/1410.1257 (2014) - [i1]Abhronil Sengupta, Zubair Al Azim, Xuanyao Fong, Kaushik Roy:
Spin-Orbit Torque Induced Spike-Timing Dependent Plasticity. CoRR abs/1412.6548 (2014) - 2013
- [c6]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: 1-6 - [p1]Abhronil Sengupta, Tathagata Chakraborti, Amit Konar:
A Metaheuristic Approach to Two Dimensional Recursive Digital Filter Design. Advances in Heuristic Signal Processing and Applications 2013: 167-182 - 2012
- [c5]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: 1-8 - [c4]Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Ramadoss Janarthanan:
A heuristic approach to 3D face modelling for efficient face recognition. HIS 2012: 312-317 - 2011
- [c3]Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, Atulya Nagar:
Energy efficient trajectory planning by a robot arm using invasive weed optimization technique. NaBIC 2011: 311-316 - [c2]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: 203-208 - [c1]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: 89-96
Coauthor Index
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