Computation, Structure, and Learning

Our group, led by Assoc. Prof. Mahito Sugiyama, studies machine learning at National Institute of Informatics (NII) in Tokyo since 2017.

Machine learning is the discipline of studying intelligent computing systems, which nowadays plays a key role in artificial intelligence (AI). To reveal the nature of learning, we focus on the relationship between computational processes, discrete structures, and machine learning models.

We belong to the Department of Informatics, SOKENDAI (The Graduate University for Advanced Studies), which offers 3-year and 5-year Ph.D. courses. More information is available at the NII website.

News

  • Kazu Ghalamkari has presented his work "Non-negative low-rank approximations for multi-dimensional arrays on statistical manifold" at IG4DS conference (Sep. 23, 2022).  [Slide]
  • Our JST CREST proposal "Machine Learning That Connects to Symbolic Reasoning" (Co-investigators: Katsumi Inoue at NII, Masaaki Nishino at NTT, and Ryosuke Kojima at KyotoU) has been accepted to "Trusted AI" research area (Sep. 20, 2022).
  • Our paper "A Drive-by Bridge Inspection Framework Using Non-Parametric Clusters over Projected Data Manifolds" (First author: Prasad Cheema, Corresponding author: Mehrisadat Makki Alamdari) has been accepted to Mechanical Systems and Signal Processing (MSSP) (Jun. 2, 2022).   [Paper]
  • Prasad Cheema joined our lab as a postdoc researcher (May 1, 2022).
  • Profir-Petru Partachi joined our lab as a postdoc researcher (Apr. 16, 2022).
  • Ryunosuke Ishizaki joined our lab as a new Ph.D. student (Apr. 1, 2022).
  • Kiyotaka Matsue received his Ph.D. degree in Informatics from SOKENDAI. Congratulations! (Mar. 22, 2022).
  • Our paper "A Neural Tangent Kernel Perspective of Infinite Tree Ensembles" (First author: Ryuichi Kanoh) has been accepted to ICLR 2022 (Jan. 21, 2022).   [arXiv]  [OpenReview]  [Poster]
  • Our paper "Fast Rank-1 NMF for Missing Data with KL Divergence" (First author: Kazu Ghalamkari) has been accepted to AISTATS 2022 (Jan. 18, 2022).   [Paper]  [arXiv]  [Code]  [Poster]

more news...

Contact

National Institute of Informatics,
2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan
https://www.nii.ac.jp/en/about/access/
Email: mahito (at) nii.ac.jp


© Mahito Sugiyama 2022