8 citations · 11 across the 6 of their papers we have counts for
6 papers
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks
Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang +1
Modeling and predicting temporal point processes (TPPs) is critical in domains such as neuroscience, epidemiology, finance, and social sciences. We introduce the Spiking Dynamic Gr…
Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges
Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat +9
Autonomous edge computing in robotics, smart cities, and autonomous vehicles relies on the seamless integration of sensing, processing, and actuation for real-time decision-making…
AdaCred: Adaptive Causal Decision Transformers with Feature Crediting
Hemant Kumawat, Saibal Mukhopadhyay
Reinforcement learning (RL) can be formulated as a sequence modeling problem, where models predict future actions based on historical state-action-reward sequences. Current approac…
RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator
Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay
Developing agents that can perform complex control tasks from high-dimensional observations is a core ability of autonomous agents that requires underlying robust task control poli…
STEMFold: Stochastic Temporal Manifold for Multi-Agent Interactions in the Presence of Hidden Agents
Hemant Kumawat, Biswadeep Chakraborty, Saibal Mukhopadhyay
Learning accurate, data-driven predictive models for multiple interacting agents following unknown dynamics is crucial in many real-world physical and social systems. In many scena…
Radar Guided Dynamic Visual Attention for Resource-Efficient RGB Object Detection
Hemant Kumawat, Saibal Mukhopadhyay
An autonomous system's perception engine must provide an accurate understanding of the environment for it to make decisions. Deep learning based object detection networks experienc…