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In this talk we will present recent results about optimal control of large particle systems with common noise, interacting through their empirical measures....
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A cornerstone of topological electrodynamics is the bulk-boundary (or bulk-edge) correspondence principle (BBCP): the number of topologically protected interface modes between two periodic...
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We will consider the inverse problem of determining the sound speed or index or refraction of a medium by measuring the travel times of waves going through the medium....
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We introduce a new parameterization strategy that can be used to design algorithms simulating geometric flows on Wasserstein manifold, the probability density space equipped with optimal t...
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First, we review the semi-discrete optimal transport problem and its relation to a Laguerre tessellation. Then, we propose a new method for solving the semi-discrete optimal transpor...
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Machine Learning (ML) is a scientific study of numerical algorithms and statistical models that computer systems use to effectively predict a specific task without using specific human ins...