Mukhopadhyay, Saibal

16 publications

ICML 2025 A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks Biswadeep Chakraborty, Harshit Kumar, Saibal Mukhopadhyay

NeurIPS 2025 FLAME: Fast Long-Context Adaptive Memory for Event-Based Vision Biswadeep Chakraborty, Saibal Mukhopadhyay

ICLR 2025 Has the Deep Neural Network Learned the Stochastic Process? an Evaluation Viewpoint Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay

L4DC 2025 Learning Collective Dynamics of Multi-Agent Systems Using Event-Based Vision Minah Lee, Uday Kamal, Saibal Mukhopadhyay

ECCV 2024 Efficient Learning of Event-Based Dense Representation Using Hierarchical Memories with Adaptive Update Uday Kamal, Saibal Mukhopadhyay

L4DC 2024 Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction Beomseok Kang, Harshit Kumar, Minah Lee, Biswadeep Chakraborty, Saibal Mukhopadhyay

NeurIPS 2024 Online Relational Inference for Evolving Multi-Agent Interacting Systems Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay

CoRL 2024 RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics Using Koopman Operator Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay

L4DC 2024 STEMFold: Stochastic Temporal Manifold for Multi-Agent Interactions in the Presence of Hidden Agents Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay

ICLR 2024 Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay

ICLR 2023 Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-Based Perception Uday Kamal, Saurabh Dash, Saibal Mukhopadhyay

ICLR 2023 Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles Biswadeep Chakraborty, Saibal Mukhopadhyay

ICLR 2023 Unsupervised 3D Object Learning Through Neuron Activity Aware Plasticity Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay

ICLR 2022 Sequence Approximation Using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay

ICLR 2018 Cascade Adversarial Machine Learning Regularized with a Unified Embedding Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay

CoRL 2018 HybridNet: Integrating Model-Based and Data-Driven Learning to Predict Evolution of Dynamical Systems Yun Long, Xueyuan She, Saibal Mukhopadhyay