This is the third edition of the Bayes-duality workshop focusing on the development of AI that learns adaptively, robustly and continuously, like humans. The main goal of the meeting is two folds. First, to showcase our research conducted at RIKEN-AIP (first phase ends in 2025), and, second, to discuss (and refine) the long-term goals of the JST-CREAST project and foster collaborations among the attendees. Only Part 2 of the workshop is open to public (through live streaming) and will feature invited talks by world-leading researchers working on related topics. Part 1 and 3 will be closed meetings exclusively for the collaborators of the Bayes-duality project.

• Part 1 (June 23-24) Discussion sessions on special topics at RIKEN AIP Nihonbashi
• Part 2 (June 25-27) Invited Talks at RIKEN AIP Nihonbashi (streamed live on Zoom, register here)
• Part 3 (June 30-July 4) CREST-ANR closed meeting at LecTore Atami Koarachi in Atami.

Similarly to the previous edition, we hope that the proposed activities help attendees increase their research's impact, outreach and help them network. This workshop is supported by RIKEN-AIP subsidy budget and the JST CREST Grant JPMJCR2112 on “A new Bayes-duality principle for adaptive, robust, and lifelong learning of AI systems”.

All talks in Part 2 (June 25-27) will be streamed live and you can register at the Doorkeeper. In-person attendance is limited to RIKEN-AIP researchers and invited guests. Videos will also be made publicly available, subject to the consent of speakers, attendees, and organizers.

Participants

Invited Speakers (in alphabetical order)

ABI Team, RIKEN

• Emtiyaz Khan, RIKEN
• Thomas Möllenhoff, RIKEN
• Hugo Monzón, RIKEN
• Keigo Nishida, RIKEN
• Christopher Anders, RIKEN
• Yohan Jung, RIKEN

Math-Science Team, RIKEN

• Kenichi Bannai, Keio University/RIKEN
• Eren Mehmet Kıral, Keio University
• Koichi Tojo, RIKEN
• Kei Hagihara, Keio University

HPC Team, Institute of Science Tokyo

• Rio Yokota, Institute of Science Tokyo
• Cong Bai, Institute of Science Tokyo
• Hiro Ishii, Institute of Science Tokyo
• Eiki Shimizu, The Institute of Statistical Mathematics

Stat-Theory Team, INRIA Grenoble Rhône-Alpes, France

• Julyan Arbel, INRIA, Grenoble Rhone-Alpes

Attendees

• Martin Mundt, TU Darmstadt, Germany
• Siddharth Swaroop, Harvard University, USA
• Pierre Alquier, ESSEC Business School, USA
• Nico Daheim, TU Darmstadt, Germany
• Darmesh Tailor, University of Amsterdam, Netherlands
• Subarnaduti Paul, University of Bremen, Germany
• Masaki Adachi, University of Oxford, UK
• Jonghyun Choi, Seoul National University, South Korea
• Kai Arulkumaran, Araya Inc., Japan
• Frank Nielsen, Sony CSL, Japan
• Joe Austerweil, University of Wisconsin-Madison, USA
• Sarath Chandar, Polytechnique Montreal, Canada
• Weiwei Pan, Harvard University, USA

Program

[The detailed program]

	June 23		June 24		June 25		June 26		June 27
10:00-11:00	Discussion: Topic 1		Discussion: Topic 6		Rebekka Burkholtz		CREST Talk 1		Razvan Pascanu
11:00-11:30	Break		Break		Break		Break		Break
11:30-12:30	Discussion: Topic 2		Discussion: Topic 7		André Martins		CREST Talk 2		Mark van der Wilk
12:30-14:00	Lunch		Lunch		Lunch		Lunch		Lunch
14:00-15:00	Discussion: Topic 3		Discussion: Topic 8		David Rügamer		CREST Talk 3		Marcus Rohrbach
15:00-16:00	Discussion: Topic 4		Discussion: Topic 9		Poster Session		CREST Talk 4		Abeba Birhane
16:00-16:30	Break		Break		Break		Break		Break
16:30-18:00	Discussion: Topic 5		Discussion: Topic 10		Poster Session		Poster Session		Panel Discussion: The future of AI and the role of Bayes and Lifelong Learning
18:00-	Dinner/Drinks						Speakers Dinner		Dinner/Drinks

Organizing Team

• Organizers: Emtiyaz Khan, Kenichi Bannai, Rio Yokota
• Webpage Design: Rio Yokota