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On optimal matching problem for Gaussian samples with dimension d ≥ 3 – Jie-Xiang Zhu (Fudan University / Université de Toulouse)

Optimal matching problems are very classical in computer science, physics and mathematics. In this talk, we will discuss the related rates of convergence of empirical measures associated with n independent random points, whose common distribution is…

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On the speed of propagation for stochastic Hamilton-Jacobi equations – Paul Gassiat (Université Paris Dauphine)

We study the speed of propagation of initial data for Hamilton-Jacobi equations with multiplicative rough (typically stochastic) time dependence. We first show that, in contrast with the classical (deterministic) case, in general this speed may be…

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A weak universality result for the parabolic Anderson model – Nicolas Perkowski (Humboldt-Universität zu Berlin)

We consider a class of nonlinear population models on a two-dimensional lattice which are influenced by a small random potential, and we show that on large temporal and spatial scales the population density is well described by the continuous…

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Chemical reaction networks: deterministic and stochastic models – Daniele Cappelletti (University of Wisconsin – Madison)

Chemical reaction networks are mathematical models used in biochemistry, as well as in other fields. Specifically, the time evolution of a system of biochemical reactions are modelled either deterministically, by means of a system of ordinary…

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