Dates: September 28–October 1, 2026

Venue: Seminar room A and D (3rd floor), Faculty of Engineering Building 6 (No. 79), Hongo campus, The University of Tokyo.

Aims and Scope:  

Stochastic processes provide a fundamental framework for modeling complex random phenomena across science and engineering, while modern machine learning offers powerful tools for inference, prediction, and decision-making from data. In recent years, the interaction between stochastic processes and machine learning has grown increasingly close, driven by both methodological developments and emerging applications that benefit from probabilistic modeling and data-driven approaches. This workshop aims to foster interdisciplinary discussions on recent advances at the interface of stochastic processes, machine learning, and related fields, ranging from theoretical developments to methodological innovations and applications. The workshop, which originates at the joint events managed by Ulm University in Germany, the University of Tokyo, Tohoku University, and the Institute of Statistical Mathematics (ISM), welcomes attendance from any other institutes.

No registration is required to attend the workshop. Registration is required only for those who wish to join the conference dinner.

Invited Speakers:

• David Berger (Dresden University of Technology)

• Mikhail Chebunin (Ulm University)

• Masaaki Fukasawa (The University of Osaka)

• Kenji Fukumizu (Institute of Statistical Mathematics)

• Masahiro Kurisaki (RIKEN)

• Domenico Marinucci (Rome Tor Vergata)

• Ivan Nourdin (University of Luxembourg)

• Mitja Stadje (Ulm University)

Contributed Speakers:

• Shogo Kato (Institute of Statistical Mathematics)

• Takaaki Koike (Hitotsubashi University) 

• Yuta Koike (The University of Tokyo)

• Satoshi Kuriki (Institute of Statistical Mathematics)

• Alexander Lindner (Ulm University)

• Yasumasa Matsuda (Tohoku University)

• Taisei Noguchi (The University of Tokyo)

• Teppei Ogihara (The University of Tokyo)

• Tomonari Sei (The University of Tokyo)

• Evgeny Spodarev (Ulm University)

• Chihiro Watanabe (NTT Communication Science Laboratories)

Host:

• The University of Tokyo, Japan

Organizing Institutes:

• Institute of Statistical Mathematics, Japan

• Tohoku University, Japan

• Ulm University, Germany

• The University of Tokyo, Japan

The Organizers:

• Satoshi Kuriki (Institute of Statistical Mathematics)

• Alexander Lindner (Ulm University)

• Yasumasa Matsuda (Tohoku University)

• Teppei Ogihara (The University of Tokyo) - Chair

• Evgeny Spodarev (Ulm University)

Supports:

• Grant-in-Aid for Scientific Research(B) 25K03083 Teppei Ogihara (the University of Tokyo）

• Tohoku University

• Institute of Statistical Mathematics