Shiba Biswal — accepted AI-conference papers

2025

Universal Approximation of Mean-Field Models via Transformers

Shiba Biswal, Karthik Elamvazhuthi, Rishi Sonthalia

ICML 2025poster

This paper investigates the use of transformers to approximate the mean-field dynamics of interacting particle systems exhibiting collective behavior. Such systems are fundamental in modeling phenomena across physics, biology, and engineering, including opinion formation, biological networks, and sw…

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2018

Mean-Field Stabilization of Markov Chain Models for Robotic Swarms: Computational Approaches and Experimental Results

Vaibhav Deshmukh, Karthik Elamvazhuthi, Shiba Biswal, Zahi M. Kakish, Spring Berman

RA-L 2018

In this letter, we present two computational approaches for synthesizing decentralized density-feedback laws that asymptotically stabilize a strictly positive target equilibrium distribution of a swarm of agents among a set of states. The agents' states evolve according to a continuous-time Markov c

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