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20122026
most citedDeep neural networks algorithms for stochastic control problems on finite horizon: convergence analysis

97 citations

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19 papers · 1 filter

math.AP2025

Quantitative rigidity of the Wasserstein contraction under convolution

Max Fathi, Michael Goldman, Daniel Tsodyks

The aim of this paper is to investigate the contraction properties of -Wasserstein distances with respect to convolution in Euclidean spaces both qualitatively and quantitativel…

math.AP2025

New invariant surface measures for the cubic Schrödinger equation

Jean-Baptiste Casteras, Ana Bela Cruzeiro, Annie Millet

We construct new invariant measures supported on mass level sets for the cubic defocusing nonlinear Schrödinger equation in dimensions and .

math.AP2025

On gelation for the Smoluchowski equation

Nicolas Fournier

Motivated by the recent results of Andreis-Iyer-Magnanini (2023), we provide a short proof, revisiting the one of Escobedo-Mischler-Perthame (2002), that for a large class of coagu…

math.AP2023★ 3 cited

Hairer's multilevel Schauder estimates without Regularity Structures

Lucas Broux, Francesco Caravenna, Lorenzo Zambotti

We investigate the regularising properties of singular kernels at the level of germs, i.e. families of distributions indexed by points in . First we construct a suita…

math.AP2022★ 4 cited

A Stochastic Target Problem for Branching Diffusions

Idris Kharroubi, Antonio Ocello

We consider an optimal stochastic target problem for branching diffusion processes. This problem consists in finding the minimal condition for which a control allows the underlying…

math.AP2021

Functional Calculus via the extension technique: a first hitting time approach

Daniel Hauer, David Lee

In this article, we present a solution to the problem: "Which type of linear operators can be realized by the Dirichlet-to-Neumann operator associated with the operator $-Δ-a(z)\fr…