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Lénaïc Chizat is a researcher at École Polytechnique Fédérale de Lausanne (EPFL), within the School of Basic Sciences in the Mathematics department. His research focuses on computational optimal transport and its applications within machine learning. With a strong emphasis on mathematical analysis and modern supervised machine learning techniques, he explores various topics including classical optimal transport and modern denoising diffusion models. Chizat teaches courses such as MATH-528 on computational aspects of measure transportation and MATH-520 which emphasizes mathematical foundations for artificial neural networks.
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