| 2025 | ICLR | P-Spikessm: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks. | Malyaban Bal, Abhronil Sengupta |
| 2024 | AAAI | SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation. | Malyaban Bal, Abhronil Sengupta |
| 2024 | ISCAS | Equilibrium-Based Learning Dynamics in Spiking Architectures. | Malyaban Bal, Abhronil Sengupta |
| 2023 | AAAI | Astromorphic Self-Repair of Neuromorphic Hardware Systems. | Zhuangyu Han, A. N. M. Nafiul Islam, Abhronil Sengupta |
| 2023 | IJCAI | Sequence Learning Using Equilibrium Propagation. | Malyaban Bal, Abhronil Sengupta |
| 2022 | MICRO | 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 |
| 2021 | ISLPED | 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 |
| 2020 | ICASSP | Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing. | Gopalakrishnan Srinivasan, Chankyu Lee, Abhronil Sengupta, Priyadarshini Panda, Syed Shakib Sarwar, Kaushik Roy |
| 2020 | ISCA | 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 |
| 2019 | ISCAS | Programmable Non-Volatile Memory Design Featuring Reconfigurable In-Memory Operations. | Nicholas Jao, Akshay Krishna Ramanathan, Abhronil Sengupta, John Sampson, Vijaykrishnan Narayanan |
| 2017 | DAC | RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks. | Aayush Ankit, Abhronil Sengupta, Priyadarshini Panda, Kaushik Roy |
| 2017 | DATE | Magnetic tunnel junction enabled all-spin stochastic spiking neural network. | Gopalakrishnan Srinivasan, Abhronil Sengupta, Kaushik Roy |
| 2017 | ICCAD | TraNNsformer: Neural network transformation for memristive crossbar based neuromorphic system design. | Aayush Ankit, Abhronil Sengupta, Kaushik Roy |
| 2017 | IJCNN | Performance analysis and benchmarking of all-spin spiking neural networks (Special session paper). | Abhronil Sengupta, Aayush Ankit, Kaushik Roy |
| 2016 | ASPDAC | Prospects of efficient neural computing with arrays of magneto-metallic neurons and synapses. | Abhronil Sengupta, Karthik Yogendra, Deliang Fan, Kaushik Roy |
| 2016 | DAC | 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 |
| 2016 | DAC | Low-power approximate convolution computing unit with domain-wall motion based "spin-memristor" for image processing applications. | Yong Shim, Abhronil Sengupta, Kaushik Roy |
| 2016 | DATE | Conditional Deep Learning for energy-efficient and enhanced pattern recognition. | Priyadarshini Panda, Abhronil Sengupta, Kaushik Roy |
| 2016 | IJCNN | On the energy benefits of spiking deep neural networks: A case study. | Bing Han, Abhronil Sengupta, Kaushik Roy |
| 2016 | ISCAS | Spintronic devices for ultra-low power neuromorphic computation (Special session paper). | Abhronil Sengupta, Karthik Yogendra, Kaushik Roy |
| 2016 | VLSID | Neuromorphic Computing Enabled by Spin-Transfer Torque Devices. | Abhronil Sengupta, Priyadarshini Panda, Anand Raghunathan, Kaushik Roy |
| 2015 | IJCNN | Spin-Transfer Torque Magnetic neuron for low power neuromorphic computing. | Abhronil Sengupta, Kaushik Roy |
| 2012 | CEC | An Adaptive Memetic Algorithm using a synergy of Differential Evolution and Learning Automata. | Abhronil Sengupta, Tathagata Chakraborti, Amit Konar, Eunjin Kim, Atulya K. Nagar |
| 2012 | HIS | A heuristic approach to 3D face modelling for efficient face recognition. | Tathagata Chakraborti, Abhronil Sengupta, Amit Konar, Ramadoss Janarthanan |