4 citations · 6 across the 5 of their papers we have counts for
5 papers
SIGMAS: Second-Order Interaction-based Grouping for Overlapping Multi-Agent Swarms
Minah Lee, Saibal Mukhopadhyay
Swarming systems, such as drone fleets and robotic teams, exhibit complex dynamics driven by both individual behaviors and emergent group-level interactions. Unlike traditional mul…
Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision
Minah Lee, Uday Kamal, Saibal Mukhopadhyay
This paper proposes a novel problem: vision-based perception to learn and predict the collective dynamics of multi-agent systems, specifically focusing on interaction strength and…
Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction
Beomseok Kang, Harshit Kumar, Minah Lee +2
Locally interacting dynamical systems, such as epidemic spread, rumor propagation through crowd, and forest fire, exhibit complex global dynamics originated from local, relatively…
Forecasting Local Behavior of Self-organizing Many-agent System without Reconstruction
Beomseok Kang, Minah Lee, Harshit Kumar +1
Large multi-agent systems are often driven by locally defined agent interactions, which is referred to as self-organization. Our primary objective is to determine when the propagat…
Mixture of Pre-processing Experts Model for Noise Robust Deep Learning on Resource Constrained Platforms
Taesik Na, Minah Lee, Burhan A. Mudassar +3
Deep learning on an edge device requires energy efficient operation due to ever diminishing power budget. Intentional low quality data during the data acquisition for longer batter…