Neural Approaches to Optimal Transport

by Prof. Marco Cuturi (CREST - ENSAE, Inst. Polytechnique de Paris and Apple ML Research)

Thursday 4 Apr 2024, 17:00 → 18:30 Europe/Berlin

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In his talk, Prof. Cuturi will cover the basics of the Kantorovich and Monge optimal transportation problems. In the following, he will proceed with an exposition of various approaches recently proposed to estimate optimal transport maps at scale, using samples from two probability distributions and neural networks.

Chair: Prof. Sabine Le Borne

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The Zoom link for joining the online Data Science Colloquium is:

https://uni-hamburg.zoom.us/j/66967872366?pwd=djhxMnkyUS85NGE0RzBVMTlseGdWQT09

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Further information concerning the speakers and the lectures can also be found here:
https://www.dashh.org/events/data_science_colloquium/index_eng.html

 

This event is jointly organized by Data Science in Hamburg - Helmholtz Graduate School for the Structure of Matter, the Center for Data and Computing in Natural Sciences (CDCS), the clusters of excellence CUI - Advanced Imaging of Matter and Quantum Universe of the Universität Hamburg (UHH), the Department of Informatics of the UHH, the Institute of Mathematics of the Hamburg University of Technology, ahoi.digital - the Alliance of Hamburg Universities for Computer Science, and the Wolfgang Pauli Centre. 

announcement_Marco-Cuturi.pdf