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Publications associées (35)

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Localization errors of the stochastic heat equation

David Jean-Michel Candil

In this thesis, we study the stochastic heat equation (SHE) on bounded domains and on the whole Euclidean space

\R^d.

We confirm the intuition that as the bounded domain increases to the whole space, both solutions become arbitrarily close to one another ...

EPFL2022

Fonction bornée

Graph Chatbot

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Residual-based attention in physics-informed neural networks

Homogenization results for the generator of multiscale Langevin dynamics in weighted Sobolev spaces

Unlikely intersections on the p-adic formal ball

Localization errors of the stochastic heat equation

A Functional Perspective on Information Measures

Functional estimation of anisotropic covariance and autocovariance operators on the sphere

Proximity Results and Faster Algorithms for Integer Programming Using the Steinitz Lemma

An Inertial Parallel and Asynchronous Forward-Backward Iteration for Distributed Convex Optimization

Path properties of the solution to the stochastic heat equation with Levy noise

Proximity results and faster algorithms for Integer Programming using the Steinitz Lemma

Unlikely intersections on the p-adic formal ball

Homogenization results for the generator of multiscale Langevin dynamics in weighted Sobolev spaces

Residual-based attention in physics-informed neural networks

A Functional Perspective on Information Measures

Proximity Results and Faster Algorithms for Integer Programming Using the Steinitz Lemma

Path properties of the solution to the stochastic heat equation with Levy noise

Proximity results and faster algorithms for Integer Programming using the Steinitz Lemma

Functional estimation of anisotropic covariance and autocovariance operators on the sphere

An Inertial Parallel and Asynchronous Forward-Backward Iteration for Distributed Convex Optimization

Localization errors of the stochastic heat equation