| Spikingbert: Distilling bert to train spiking language models using implicit differentiation M Bal, A Sengupta AAAI-24, Proceedings of the AAAI conference on artificial intelligence 38 …, 2024 | 49 | 2024 |
| Sequence learning using equilibrium propagation M Bal, A Sengupta IJCAI-23, Proceedings of the Thirty-Second International Joint Conference on …, 2022 | 9 | 2022 |
| P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks M Bal, A Sengupta ICLR-25, 2024 | 8* | 2024 |
| Cyber-neuro RT: Real-time neuromorphic cybersecurity W Zahm, T Stern, M Bal, A Sengupta, A Jose, S Chelian, S Vasan Procedia Computer Science 213, 536-545, 2022 | 7 | 2022 |
| Multi scale mirror connection based encoder decoder network for text localization K Dutta, M Bal, A Basak, S Ghosh, N Das, M Kundu, M Nasipuri Pattern Recognition Letters 135, 64-71, 2020 | 6 | 2020 |
| Exploring Extreme Quantization in Spiking Language Models M Bal, Y Jiang, A Sengupta IEEE/ACM International Conference on Neuromorphic Systems (ICONS), 2024 | 3 | 2024 |
| Delving deeper into astromorphic transformers MZA Mia, M Bal, A Sengupta arXiv preprint arXiv:2312.10925, 2023 | 3 | 2023 |
| Benchmarking spiking neural network learning methods with varying locality J Lin, S Lu, M Bal, A Sengupta arXiv preprint arXiv:2402.01782, 2024 | 2 | 2024 |
| Equilibrium-Based Learning Dynamics in Spiking Architectures M Bal, A Sengupta 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2024 | 1 | 2024 |
| Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures J Lin, M Bal, A Sengupta IEEE/ACM International Conference on Neuromorphic Systems (ICONS), 2024 | 1 | 2024 |
| Multi-Agent Decision S4: Leveraging State Space Models for Offline Multi-Agent Reinforcement Learning A Bhattacharya, M Bal AAAI-25, Workshop on Multi-Agent reinforcement Learning for Transportation …, 2025 | | 2025 |
| SpikingVTG: Saliency Feedback Gating Enabled Spiking Video Temporal Grounding M Bal, B Matejek, S Jha, AD Cobb NeurIPS 2024, Workshop on Machine Learning and Compression, 2024 | | 2024 |
| Training Energy-Efficient Large Language Models Leveraging Equilibrium Driven Bio-Plausible Neural Dynamics M Bal, A Sengupta ICML 2024, Workshop on LLMs and Cognition, 2024 | | 2024 |
| Bio-plausible Hierarchical Semi-supervised learning for Intrusion Detection M Bal, G Nishibuchi, S Chelian, S Vasan, A Sengupta ACM International Conference on Neuromorphic Systems (ICONS) Poster, 2023 | | 2023 |
| RMAAT: A Bio-Inspired Approach for Efficient Long-Context Sequence Processing in Transformers MZA Mia, M Bal, A Sengupta | | |
Abhronil SenguptaMonkowski Career Development Associate Professor of EECS, Penn State University在 psu.edu 的電子郵件地址已通過驗證
