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cond-mat.stat-mech2026
LieStoNet: Learning Lie Symmetries from Spatiotemporal Data for Stochastic Dynamical Systems
Shida Liu, Abhishek Gupta, Sumit Sinha +1
Symmetry is central to modern machine learning and physics: invariances and equivariances improve sample efficiency, robustness, and out-of-distribution generalization, while symme…
cond-mat.stat-mech2026
Generative optimal transport via forward-backward HJB matching
Haiqian Yang, Vishaal Krishnan, Sumit Sinha +1
Controlling the evolution of a many-body stochastic system from a disordered reference state to a structured target ensemble, characterized empirically through samples, arises natu…