Masahiro Fujisawa (藤澤 将広), Ph.D.
Assistant Professor at Machine Learning & Systems Laboratory, Graduate School of Information Science and Technology, The University of Osaka.
Visiting Scientist at the Dynamical Systems Learning Team (PI: Prof. Yoshinobu Kawahara) at RIKEN Center for Advanced Intelligence Project (RIKEN AIP).
I received my Ph.D. in Science (Machine Learning) from the University of Tokyo in 2023, under the supervision of Prof. Issei Sato and co-advisory of Prof. Masashi Sugiyama.
Research Interests
- (Bayesian) Machine Learning
- (Generalized) Bayesian inference
- Likelihood-free (or simulator-based) inference
- Robustness and Generalization
CV
My CV is here.
News
Sep 18, 2025: Our two papers, Scalable Valuation of Human Feedback through Provably Robust Model Alignment and Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables, have been accepted to NeurIPS 2025! Many thanks to the reviewers for their valuable feedback, and to the ACs, SACs, and PCs for their hard work amidst their busy schedules.
Aug 12, 2025: Our paper, On the Convergence of SVGD in KL divergence via Approximate gradient flow, has been accepted to TMLR! Many thanks to the reviewers for their valuable feedback, and to the AE for evaluating our work.
June 18, 2025: Our new paper, Flight trajectory modeling reveals species-specific obstacle avoidance policies in echolocating bats, was made publicly available on bioRxiv, coauthored by Dr. Yu Teshima (Japan Agency for Marine-Earth Science and Technology), Shoko Genda (Doshisha University), Yota Aoki (Doshisha University), Prof. Shizuko Hiryu (Doshisha University), and Prof. Keisuke Fujii (Nagoya University / RIKEN AIP).
May 26, 2025: Our new paper, Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables, was made publicly available on arXiv, coauthored by Prof. Futoshi Futami (The University of Osaka / RIKEN AIP).
May 23, 2025: Our new paper, Scalable Valuation of Human Feedback through Provably Robust Model Alignment, was made publicly available on arXiv, coauthored by Masaki Adachi (University of Oxford / Toyota Motor Corporation) and Prof. Michael A. Osborne (University of Oxford).