4 citations · 8 across the 2 of their papers we have counts for
3 papers
math.OC2025
Convergence of drift-diffusion PDEs arising as Wasserstein gradient flows of convex functions
Lénaïc Chizat, Maria Colombo, Xavier Fernández-Real
We study the quantitative convergence of drift-diffusion PDEs that arise as Wasserstein gradient flows of linearly convex functions over the space of probability measures on ${\mat…
math.OC2023★ 4 cited
Doubly Regularized Entropic Wasserstein Barycenters
Lénaïc Chizat
We study a general formulation of regularized Wasserstein barycenters that enjoys favorable regularity, approximation, stability and (grid-free) optimization properties. This baryc…
math.OC2022★ 4 cited
Trajectory Inference via Mean-field Langevin in Path Space
Lénaïc Chizat, Stephen Zhang, Matthieu Heitz +1
Trajectory inference aims at recovering the dynamics of a population from snapshots of its temporal marginals. To solve this task, a min-entropy estimator relative to the Wiener me…