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math.OC2026
Learning Monge maps with constrained drifting models
Théo Dumont, Théo Lacombe, François-Xavier Vialard
We study the estimation of optimal transport (OT) maps between an arbitrary source probability measure and a log-concave target probability measure. Our contributions are twofold.…
math.OC2022
An Homogeneous Unbalanced Regularized Optimal Transport model with applications to Optimal Transport with Boundary
Théo Lacombe
This work studies how the introduction of the entropic regularization term in unbalanced Optimal Transport (OT) models may alter their homogeneity with respect to the input measure…