2 papers
stat.ML2026
Identifiability Guarantees for Drivers and Dynamics of Delayed Physical Systems
Julien Boussard, Antoine Debouchage, Antoine Débouchage +1
A wide range of methods have been proposed, including physics-informed neural networks, which are powerful but do not guarantee identifiability of the dynamics, symbolic regression…
math.OC2026
Generative Transfer for Entropic Optimal Transport with Unknown Costs
Antoine Debouchage, Xiaozhen Wang, Zhenjie Ren +1
This paper addresses the practical challenge in Entropic Optimal Transport (EOT) where the underlying ground cost function is typically latent and unobserved. Rather than assuming…