Conference Papers: Includes multiple papers published at NeurIPS2025, ICML2025, etc., on topics such as Schrödinger bridge estimation, propagation of chaos for mean-field Langevin dynamics and its application to model ensembles, and more.
Research Experience
Principal Scientist: Centre for Frontier AI and Research, Agency for Science, Technology and Research (A*STAR); Associate Professor: College of Computing and Data Science, Nanyang Technological University (NTU).
Education
Ph.D. in Information Science and Technology. The University of Tokyo. Supervisor: Taiji Suzuki.
Background
Research interests: stochastic optimization, distribution optimization, mean-field optimization, sampling, optimal transport, diffusion model, Schrödinger bridge, statistical learning theory, machine / deep learning.
Miscellany
Looking for Ph.D. students: Interested in conducting fundamental studies in generative models, statistical learning, optimization, sampling, and optimal transport; Several scholarships are available.