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Shape Analysis (Lecture 20): Segmentation and clustering (k-means, Frechet means, normalized cuts)
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Optimal Transport - Introduction to Optimal Transport
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Marco Cuturi - A Primer on Optimal Transport Part 1
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New Frontiers in Mathematics: Professor Cédric Villani, “Optimal Transport Theory”
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Wasserstein Distance & Optimal Transport — Fully Explained
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Shape Analysis (Lecture 1): Introduction
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A brief introduction to the regularity theory of optimal transport
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"Optimal Transport for Statistics and Machine Learning" Prof. Philippe Rigollet, MIT
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Ziv Goldfeld - Gromov-Wasserstein Alignment: Statistics, Computation, and Geometry - IPAM at UCLA
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Optimal transport for machine learning - Gabriel Peyre, Ecole Normale Superieure
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How (and why) to take a logarithm of an image
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Distinguished Seminar in Optimization and Data: Philippe Rigollet (MIT)
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Justin Solomon (MIT) -- Computational Transport
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Nicolas Courty: Optimal transport for graphs: definitions, applications to graph-signal processing
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Gabriel Peyre - Le transport optimal numérique et ses applications
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Optimal Transport: a topic every mathematician and physicist should know.
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The Key Equation Behind Probability
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09. Regularized Wasserstein Distances & Minimum Kantorovich Estimators. Marco Cuturi
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Filippo Santambrogio: Introduction to optimal transport theory - lecture 1
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