Gradient Descent on Infinitely Wide Neural Networks: Global Convergence and Generalization

1 code implementation • 15 Oct 2021 • Francis Bach, Lenaïc Chizat

Many supervised machine learning methods are naturally cast as optimization problems.

Quantum Optimal Transport for Tensor Field Processing

1 code implementation • 20 Dec 2016 • Gabriel Peyré, Lenaïc Chizat, François-Xavier Vialard, Justin Solomon

This "quantum" formulation of OT (Q-OT) corresponds to a relaxed version of the classical Kantorovich transport problem, where the fidelity between the input PSD-valued measures is captured using the geometry of the Von-Neumann quantum entropy.

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