activity
20222026
collaborators

6 papers

cs.LG2026

Discrete Flow Matching: Convergence Guarantees Under Minimal Assumptions

Le-Tuyet-Nhi Pham, Giovanni Conforti, Zhenjie Ren +1

Flow Matching has recently emerged as a popular class of generative models for simulating a target distribution from samples drawn from a source distribution . This fram…

math.AP2025

Propagation of weak log-concavity along generalised heat flows via Hamilton-Jacobi equations

Louis-Pierre Chaintron, Giovanni Conforti, Katharina Eichinger

A well-known consequence of the Pr{é}kopa-Leindler inequality is the preservation of logconcavity by the heat semigroup. Unfortunately, this property does not hold for more general…

math.FA2024

Gibbs principle with infinitely many constraints: optimality conditions and stability

Louis-Pierre Chaintron, Giovanni Conforti, Julien Reygner

We extend the Gibbs conditioning principle to an abstract setting combining infinitely many linear equality constraints and non-linear inequality constraints, which need not be con…

math.OC2024

Regularity and stability for the Gibbs conditioning principle on path space via McKean-Vlasov control

Louis-Pierre Chaintron, Giovanni Conforti

We consider a system of diffusion processes interacting through their empirical distribution. Assuming that the empirical average of a given observable can be observed at any time,…

math.PR2024

Convergence of Sinkhorn's Algorithm for Entropic Martingale Optimal Transport Problem

Fan Chen, Giovanni Conforti, Zhenjie Ren +1

In this paper, we study the Entropic Martingale Optimal Transport (EMOT) problem on \mathbb{R}. The investigation of the EMOT problem arises in the calibration problem of the Stoch…

math.PR2022

Coupling by reflection for controlled diffusion processes: turnpike property and large time behavior of Hamilton Jacobi Bellman equations

Giovanni Conforti

We investigate the long time behavior of weakly dissipative semilinear Hamilton-Jacobi-Bellman (HJB) equations and the turnpike property for the corresponding stochastic control pr…