Workshop on  Optimal Transport  

from Theory to Applications

Interfacing Dynamical Systems, Optimization, and Machine Learning

Venue: Humboldt University of Berlin, Dorotheenstraße 24

Berlin, Germany. March 11th - 15th, 2024

Optimal transport (OT) is a theory connecting PDEs, geometry, and probability theory. Recent developments in numerical algorithms for OT problems have further opened new applications, e.g., in statistics, machine learning, imaging, and optimization.

The OT-DOM  workshop brings together international experts in OT theory as well as domain experts in applied areas, such as machine learning, optimization, and engineering, to gather in Berlin, Germany. The workshop book is available here. We have made the talk slides available here.

Invited Speakers


Scientific advisory committee

Alexander Mielke

Vladimir Spokoiny

Peter Friz

Local organizing Team

Funding support