Vakhtang Putkaradze

You are already at the latest version The widespread adoption of autonomous vehicle technologies requires accurate predictions of coordinated multi-agent motion. While predicting such motion under arbitrary control mechanisms is generally intractable, we focus on certain classes of optimal control where the system dynamics reduce to Lie-Poisson equations.

[Submitted on 11 Jan 2026] Title:Structure-preserving learning and prediction in optimal control of collective motion View a PDF of the paper titled Structure-preserving learning and prediction in optimal control of collective motion, by Sofiia Huraka and 1 other authors View PDF HTML (experimental) Abstract:Wide-spread adoption of unmanned vehicle technologies requires the ability to predict the motion of the combined vehicle operation from observations.

[Submitted on 11 Sep 2025] Title:Variational Neural Networks for Observable Thermodynamics (V-NOTS) View a PDF of the paper titled Variational Neural Networks for Observable Thermodynamics (V-NOTS), by Christopher Eldred and 2 other authors View PDF HTML (experimental) Abstract:Much attention has recently been devoted to data-based computing of evolution of physical systems.