Justin Solomon (MIT) -- Computational Transport
MIFODS - Applied Math Colloquium joint seminar. Cambridge, US March 12, 2018 Full title: Scaling and Broadening the Scope of Computational Transport.
▶︎
Shape Analysis (Lecture 19): Optimal transport
▶︎
"Optimal Transport for Statistics and Machine Learning" Prof. Philippe Rigollet, MIT
▶︎
Branched Schrödinger Bridge Matching | Sophia Tang & Pranam Chatterjee
▶︎
New Frontiers in Mathematics: Professor Cédric Villani, “Optimal Transport Theory”
▶︎
Quantum Computing Day: Introduction to Quantum Computing
▶︎
Computational Optimal Transport
▶︎
Lecture 1: Introduction to Individual Decision-Making
▶︎
Optimal transport for machine learning - Gabriel Peyre, Ecole Normale Superieure
▶︎
Valentin De Bortoli: Diffusion Schrödinger Bridge Matching
▶︎
Optimal Transport - Introduction to Optimal Transport
▶︎
Transportation Techniques for Geometric Data Processing
▶︎
Optimal Transport Metrics
▶︎
Want to learn more about optimisation in logistics and transportation?
▶︎
Regularization for Optimal Transport and Dynamic Time Warping Distances - Marco Cuturi
▶︎
Optimal Transport and Information Geometry for Machine Learning and Data Science
▶︎
Something is jamming GPS over Europe. Here's what we found
▶︎
Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport | Alex Tong
▶︎
Distinguished Seminar in Optimization and Data: Philippe Rigollet (MIT)
▶︎
1. Introduction and Scope
▶︎