Saibal Mukhopadhyay
18 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (15)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(21)
π
Interdisciplinary Bridge
β‘
Prolific Year
(6)
π
Conference Pioneer
π₯
Unstoppable
(5)
π
Trend Setter
β
The Questioner
π
Century Club
(18)
Conferences
ICLR (7)
L4DC (3)
WACV (3)
CORL (2)
ECCV (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
multi-agent system
(2)
attention mechanism
(2)
dynamical system
(2)
online learning
(1)
point cloud
(1)
trajectory prediction
(1)
autonomous driving
(1)
3d object detection
(1)
generative model
(1)
state space model
(1)
state transition
(1)
interaction graph
(1)
recurrent neural network
(1)
partial differential equation
(1)
relational inference
(1)
efficient computing
(1)
physics-informed learning
(1)
spatiotemporal prediction
(1)
event-based camera
(1)
semantic segmentation
(1)
Papers
Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences
WACV 2026
SSMRadNet : A Sample-wise State-Space Framework for Efficient and Ultra-Light Radar Segmentation and Object Detection
WACV 2026
Memory-Augmented Representation for Efficient Event-based Visuomotor Policy Learning with Adaptive Perception and Control
WACV 2026
Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision
L4DC 2025
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
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
ICLR 2024
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
CORL 2024
Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update
ECCV 2024
Online Relational Inference for Evolving Multi-agent Interacting Systems
NIPS 2024
Learning locally interacting discrete dynamical systems: Towards data-efficient and scalable prediction
L4DC 2024
STEMFold: Stochastic temporal manifold for multi-agent interactions in the presence of hidden agents
L4DC 2024
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
ICLR 2023
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
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