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From the 1 of 8 linked papers with an AI index.

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8 papers

math.NA2026

Computing Barycentres of Measures for Generic Transport Costs

Eloi Tanguy, Julie Delon, Nathaël Gozlan

The paper proposes and analyzes a fixed‑point algorithm for computing barycentres of probability measures under general transport costs, providing convergence guarantees and numeri…

math.OC2026

Sliced Transport Plans

Eloi Tanguy, Laetitia Chapel, Julie Delon

Since the introduction of the Sliced Wasserstein distance in the literature, its simplicity and efficiency have made it one of the most interesting surrogate for the Wasserstein di…

cs.LG2026

Expected Batch Optimal Transport Plans and Consequences for Flow Matching

Samuel Boïté, Julie Delon, Kimia Nadjahi

Solving optimal transport (OT) on random minibatches is a common surrogate for exact OT in large-scale learning. In flow matching (FM), this surrogate is used to obtain OT-like cou…

cs.LG2026

Tessellations of Semi-Discrete Flow Matching

Emile Pierret, Johannes Hertrich, Samuel Hurault +1

We study Flow Matching in a semi-discrete setting where a Gaussian source is transported toward a discrete target supported on finitely many points. This semi-discrete regime is th…

cs.LG2026

On the Relation between Rectified Flows and Optimal Transport

Johannes Hertrich, Antonin Chambolle, Julie Delon

This paper investigates the connections between rectified flows, flow matching, and optimal transport. Flow matching is a recent approach to learning generative models by estimatin…

cs.LG2026

Robust Barycenters of Persistence Diagrams

Keanu Sisouk, Eloi Tanguy, Julie Delon +1

This short paper presents a general approach for computing robust Wasserstein barycenters of persistence diagrams. The classical method consists in computing assignment arithmetic…