Modern datasets frequently present significant challenges due to their complex nature—often being high-dimensional, graph-structured, or containing a temporal component. Emerging variants of optimal transport offer powerful new tools for addressing these intricacies. This workshop aims to provide a platform for showcasing these state-of-the-art developments and to enable dialogue between researchers approaching these challenges from different perspectives.

Speakers

• Camilla Brizzi (TU München)

• Enis Chenchene (University of Vienna)

• Lorenzo Dello Schiavo (Università degli Studi di Roma)

• Stephan Eckstein (University of Tübingen)

• Yifan Jiang (University of Oxford)

• Nicolas Juillet (IRIMAS)

• Daniel Krsek (ETH Zürich)

• Martina Neuman (University of Vienna)

• Marcel Nutz (Columbia University)

• Chiara Rigoni (University of Vienna)

• Benjamin Robinson (University of Klagenfurt)

• Daniele Semola (University of Vienna)

• Maxime Sylvestre (Université Paris Dauphine-PSL)

• Johannes Wiesel (Carnegie Mellon University)

Participation

Participation is free of charge, but it is compulsory to register by sending an email to either Jacqueline or Astrid. Anyone who registers after June 30 is kindly asked to contact Stefan to clarify whether there are still available spots at the conference dinner.

Location

University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Vienna.

Room: Hörsaal (HS) 11, Floor 2