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Optimal transport is a mathematical theory at the interface between optimization and probability theory. It is a natural tool to study probability distributions in the many situations where they appear: data science, partial differential equations, statistics or shape processing.
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![]() Proxemics and Permeability of the Pedestrian Group Saleh Albeaik Faisal Alsallum Mohamad Alrished | |||
![]() Stochastic Optimization in Semi-Discrete Optimal Transport: Convergence Analysis and Minimax Rate Ferdinand Genans Antoine Godichon-Baggioni François-Xavier Vialard Olivier Wintenberger | |||
![]() Optimal Transport Based Hyperspectral Unmixing for Highly Mixed ObservationsWorkshop on Hyperspectral Image and Signal Processing (WHISPERS), 2024 | |||
![]() Sparse Partial Optimal Transport via Quadratic RegularizationJournal of Computer Science (JCS), 2025 | |||
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