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University of Bristol & RIKEN-AIP Joint Workshop 2026

Wed, 23 Sep 2026 17:30 - 21:00 JST
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Free admission
Registration closes 23 Sep 21:00
-Pass code QD2Kt6nn -Time Zone:JST -The seats are available on a first-come-first-served basis. -When the seats are fully booked, we may stop accepting applications. -Simultaneous interpretation will not be available.

Description

University of Bristol & RIKEN-AIP Joint Workshop 2026

We will hold a joint workshop with the University of Bristol as follows:

Venue: Online
Date and Time: September 23, 2026, 9:30-13:00 (UTC+1) / 17:30-21:00 (UTC+9, JST)
Co-organized with: the University of Bristol
For more information, please see the following site.
https://sites.google.com/view/uob-riken-aip-workshop/home

Program

UTC+1 / UTC+9, JST
9:30 / 17:30 Peter Flach (University of Bristol) and Masashi Sugiyama (RIKEN-AIP)
Title: Opening remarks

Talks

9:35 / 17:35 Peter Flach (University of Bristol)
Title: TBD
9:50 / 17:50 Naoto Yokoya (RIKEN-AIP)
Title: From Pixels to Planet: Toward Open and Reliable GeoAI
10:05 / 18:05 Michael Wray (University of Bristol)
Title: Why do Video Models Struggle on Real World Data?
10:20 / 18:20 Taiji Suzuki (RIKEN-AIP)
Title: Feature Learning Theories for Test Time Inference
10:35 / 18:35 Sam Power (University of Bristol)
Title: TBD
10:50 / 18:50 Futoshi Futami (RIKEN-AIP)
Title: Information-theoretic generalization analysis beyond supervised learning

11:05 / 19:05 Coffee break & discussion

11:30 / 19:30 Mengyue Yang (University of Bristol)
Title: Self-Improving Causality Seeking Agents in Open-Ended World
11:45 / 19:45 Ichiro Takeuchi (RIKEN-AIP)
Title: Statistically Reliable Anomaly Localization in Medical Images Using Diffusion Models
12:00 / 20:00 Telmo de Menezes e Silva Filho (University of Bristol)
Title: TBD
12:15 / 20:15 Qibin Zhao (RIKEN-AIP)
Title: Structured Representation and Learning: Tensor Network Principles for Efficient and Reliable AI
12:30 / 20:30 Yihan Zhang (University of Bristol)
Title: TBD
12:45 / 20:45 Shinji Ito (RIKEN-AIP)
Title: Recent Advances in Learning in Games

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