Seminar · Winter Term 2024

Seminar on Computational Optimal Transport

Lecturer
Peter Ochs
Type
Seminar for Mathematics and Computer Science
Credits
7 ECTS
Time
Tuesday 2 - 4 pm.
First meeting
29.10.2024, E1.1, room 4.12.
Teaching Assistants
Shida Wang
Language
English
Prerequisites
Basics of Mathematics (e.g. Linear Algebra 1-2, Analysis 1-3, Mathematics 1-3 for Computer Science)
[Peyré and Cuturi 2020]

News

10.09.2024: Webpage is online.

Description

Optimal transport, originally introduced by Monge and further developed by Kantorovich, has broad applications in fields like economics, fluid mechanics, machine learning, computer vision, and data science. In this seminar, we will study a lecture note called "Computational Optimal Transport" by Gabriel Peyré with several related papers, covering topics from the classic "Wasserstein GAN" to more recent works on the applications of optimal transport in machine learning. By the end of the seminar, students will have a solid understanding of optimal transport theory and an overview of its recent use in machine learning.

Registration

Register via the Seminar Assignment System at SIC Seminars.

For students from mathematics who cannnot register via this system, please write an eMail to Peter Ochs.

Requirements for Successful Participation:

Format: (in-person participation only)

Each student is assigned to three papers (assigned by us): one student gives the presentation on the paper, and the two other students take the role of moderators, i.e., they lead the discussion after the presentation.

Rules:

Documentation and Schedule

The main reference for the seminar is:

Gabriel Peyré, Marco Cuturi: Computational Optimal Transport 2020.