Saibal Mukhopadhyay

19 papers · 2018–2026 · 8 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🧬 Topic Evolution 🏆 Keyword Champion 💎 Century Club · Bronze 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive ❓ The Questioner 🚀 Conference Pioneer 🗃️ Keyword Collector (91)

Venues

ICLR (7) L4DC (3) WACV (3) CoRL (2) CVPR (1) ECCV (1) ICML (1) NeurIPS (1)

Top co-authors

Biswadeep Chakraborty (9) Beomseok Kang (5) Harshit Kumar (4) Uday Kamal (4) Saurabh Dash (2) Minah Lee (2) Xueyuan She (2) Hemant Kumawat (2) Mir Sayeed Mohammad (2) Anuvab Sen (2)

Research topics

Deep Learning (14) Machine Learning (11) Artificial Intelligence (9) Core AI (9) Architectures (8) Computer Vision (6) Analysis (5) Learning Types (5) Application Areas · Machine Learning (4) Optimization & Theory (3) Reinforcement Learning (2) Robotics (2) Application Areas · Deep Learning (2) Applications (2) Capabilities (2)

Keywords

spiking neural network (3) dynamical system (3) multi-agent system (3) attention mechanism (2) reinforcement learning (2) recurrent network (2) event-based vision (2) state space model (2) anti-hebbian learning (2) fmcw radar (2) bayesian optimization (2) model evaluation (1) online learning (1) autonomous driving (1) event camera (1) self-attention mechanism (1) model robustness (1) visual representation (1) embedding learning (1) adversarial learning (1)

Papers

Memory-Augmented Representation for Efficient Event-based Visuomotor Policy Learning with Adaptive Perception and Control WACV 2026 RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation CVPR 2026 SSMRadNet : A Sample-wise State-Space Framework for Efficient and Ultra-Light Radar Segmentation and Object Detection WACV 2026 Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences WACV 2026 A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Attention Networks ICML 2025 Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint ICLR 2025 Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision L4DC 2025 Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update ECCV 2024 Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction L4DC 2024 Online Relational Inference for Evolving Multi-agent Interacting Systems NeurIPS 2024 RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator CoRL 2024 Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN ICLR 2024 STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents L4DC 2024 Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception ICLR 2023 Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles ICLR 2023 Unsupervised 3D Object Learning through Neuron Activity aware Plasticity ICLR 2023 Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods ICLR 2022 Cascade Adversarial Machine Learning Regularized with a Unified Embedding ICLR 2018 HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems CoRL 2018