AIVP, RIKEN-AIP & A*STAR Joint Workshop
AIVP, RIKEN-AIP & A*STAR Joint Workshop
Date: November 26, 2025 (JST)
Format: Hybrid (In-person + Online) *Please note that in-person attendance is limited to AIP researchers.
Venue: RIKEN AIP Nihonbashi Open Space
This workshop is co-organized with the A*STAR Centre for Frontier AI Research (CFAR).
A*STAR Centre for Frontier AI Research (CFAR)
Officially opened in 2022, A*STAR CFAR aims to advance use-inspired basic research in AI within the broader scientific community of A*STAR.
Its research focuses on the following strategically important fundamental research to develop next generation AI technologies: AI for Science, Artificial General Intelligence, Resilient & Safe AI, Sustainable AI, Theory and Optimisation in AI.
Program (Tentative)
09:25 – 09:30 Opening address
Masashi Sugiyama(RIKEN AIP / University of Tokyo)
09:30 – 10:00
Taiji Suzuki(University of Tokyo / RIKEN AIP)
Title: Reasoning Capability of Transformer and its Approximation by Linear Models
10:00 - 10:30
Atsushi Nitanda (A*STAR / NTU)
Title: Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schrödinger Bridge Estimation
10:30 - 11:00
Poster Session & Coffee Break
11:00 – 11:30
Yin Haiyan (A*STAR)
Title: Agentic Code Generation Frameworks for Intelligent Robotic and Cognitive Agents
11:30 – 12:00
He Tiantian (A*STAR)
Title: Neighbour Selection for Graph Representation Learning
12:00 – 13:30 Lunch Break
13:30 – 14:00
Lyu Yueming (A*STAR)
Title: Black-box Optimization for Diffusion-model Targeted Generation
14:00 – 14:30
Takayuki Osa (RIKEN-AIP)
Title: Toward Scalable Robot Learning for Adaptive Robotic Systems
14:30 - 15:00
Thomas Moellenhoff (RIKEN-AIP)
Title: Variational Training for Improving LLMs
15:00 – 15:30
Poster Session & Coffee Break
15:30 – 16:00
Mingyuan Bai (RIKEN-AIP)
Title: What Do Diffusion Models Need to Advance in Adversarial Defense?
16:00 – 16:30
Shinji Ito (University of Tokyo / RIKEN-AIP)
Title: On Adaptive Learning Rate for Follow-the-Regularized-Leader
16:30 – 17:00
Ryuji Hamamoto (National Cancer Center / RIKEN-AIP)
Title: AI in Healthcare: From Bench to Bedside, Opportunities and Challenges
17:00 – 17:05 Closing remark
Ivor Tsang (A*STAR)
