Optimal transport: Thermodynamics, biological information processing and generative models
- Date
- January 18 (Mon) 13:30 - 15:00, 2027 (JST)
- Speaker
-
- Sosuke Ito (Associate Professor, Graduate School of Science, The University of Tokyo)
- Venue
- Language
- English
- Host
- Lingxiao Wang
This is a joint seminar co-hosted by Institute for Physics of Intelligence (iπ), UTokyo, and the Venue is #1042,10F of Science Bldg.1
Optimal transport theory is a useful theoretical framework for geometrically characterizing the distance between probability distributions.
It is not only used in recent research on generative models but has also been applied to detect information-processing capabilities in biological systems from a statistical perspective, and to discuss thermodynamic efficiency. In this seminar, I will begin with an introduction to optimal transport theory, and also discuss our research on its various applications.
More specifically, I will discuss the following topics: 1) The problem of minimizing entropy production within a finite time and its experimental testing. 2) The application of optimal transport to the training of generative models, specifically diffusion models, and their optimal protocols. 3) Quantifying information processing performance using optimal transport in biological signal transduction.
References
- Mintu Nandi, Sosuke Ito, Decoding cell signaling via optimal transport and information theory, arXiv: 2602.18028
- Kotaro Ikeda, Tomoya Uda, Daisuke Okanohara, Sosuke Ito, Speed-Accuracy Relations for Diffusion Models: Wisdom from Nonequilibrium Thermodynamics and Optimal Transport, arXiv: 2407.04495
This is a closed event for scientists. Non-scientists are not allowed to attend. If you are not a member or related person and would like to attend, please contact us using the inquiry form. Please note that the event organizer or speaker must authorize your request to attend.