RIKEN AIP has launched the “RIKEN AIP Distinguished Lecture Series” starting May, 2024.This series invites world-renowned researchers to give lectures on AI and machine learning. AI technology is dramatically advancing and causing major changes in society. We will discuss with outstanding researchers what we should think and where we should go in these turbulent times.
Upcoming lectures
- [8th] Oct. 26, 2026: 4:00 pm – 5:00 pm (JST)
Speaker: Prof. Charles Bouveyron (Inria Centre at Université Côte d’Azur)
Title: Scaling Optimal Transport to High-Dimensional Gaussian Distributions with Application to Domain Adaptation
For more information, please click here!
Held in the past
Each lecture can be viewed on YouTube by clicking on the link for each session.
- [1st] May 28th, 2024 10:30 am – 11:30 am JST
Speaker: Richard Zemel (Columbia University )
Title: Quantile Risk Control: A Framework for Responsible Deployment of AI Models
- [2nd]Oct 22, 2024 10:30 am– 11:30 am JST
Speaker: Nancy F. Chen（A*STAR）
Title: Multimodal, Multilingual Generative AI: From Multicultural Contextualization to Empathetic Reasoning
- [3rd]Feb 18, 2025: 15:00 – 16:00 (JST)
Speaker: Prof. John Lafferty (Yale University)
Title: Machine Learning Models of Abstraction
Sorry, video not available this time.
- [4th]June 5, 2025: 10:30 am – 11:30 am (JST)
Speaker: Prof. Lexing Xie ( Australian National University)
Title: Online Attention: Processes, Graphs, and Online Optimization
- [5th] Nov. 17, 2025: 15:30 – 16:30 (JST)
Speaker: Prof. Klaus-Robert Müller (BIFOLD, Berlin / TU Berlin, ML Group / Korea University, Seoul /Max Planck Institut für Informatik, Saarbrücken)
Title: How can the behavior of AI systems be more closely aligned with that of human users?
Sorry, video not available this time.
- [6th] Jan. 16, 2026: 10:30 am – 11:30 am (JST)
Speaker: Prof. Adi Shamir (Weizmann Institute of Science)
Title: Deep Neural Cryptography
Sorry, video not available this time.
- [7th] Oct. 13, 2026: 9:15 am – 10:15 am (JST)
Speaker: Prof. Hsuan-Tien Lin (National Taiwan University)
Title: Connecting Domain Adaptation to Other Learning Problems
