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The spectrum of heavy tailed random matrices

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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

The spectrum of heavy tailed random matrices

Graph Chatbot

Chattez avec Graph Search

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Localization errors of the stochastic heat equation

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Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution

CONVERGENCE AND NONCONVERGENCE OF SCALED SELF-INTERACTING RANDOM WALKS TO BROWNIAN MOTION PERTURBED AT EXTREMA

Intrinsic area near the origin for self-similar growth-fragmentations and related random surfaces

Extensions of Peer Prediction Incentive Mechanisms

A Functional Perspective on Information Measures

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Localization errors of the stochastic heat equation

Technosignatures Longevity and Lindy's Law

Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Gyrokinetic simulations of plasma turbulence in a Z-pinch using a moment-based approach and advanced collision operators