Preprints: Multiple papers published on arXiv, including 'Fully Spiking Denoising Diffusion Implicit Models' and more. Journal Articles: Such as 'HyperVQ: MLR-based Vector Quantization in Hyperbolic Space' published in Transactions on Machine Learning Research. International Conference Papers: Participated in multiple international conferences and presented related research results.
Research Experience
October 2018 - Present: Visiting Researcher, RIKEN AIP; May 2020 - Present: Lecturer, Research Center for Advanced Science and Technology, the University of Tokyo; April 2018 - April 2020: Assistant Professor, Department of Mechano-Informatics, Graduate School of Information Science and Technology, the University of Tokyo; April 2017 - March 2018: JSPS Research Fellowship for Young Scientists (DC2); August 2016: Internship at NTT Communication Science Laboratories; December 2013 - March 2014: Internship at National Astronomical Observatory of Japan.
Education
April 2015 - March 2018: Ph.D. in Information Science and Technology (The University of Tokyo); April 2013 - March 2015: M.A. in Information Science and Technology (The University of Tokyo); April 2009 - March 2013: B.S. in Engineering (The University of Tokyo).
Background
Research Interests: Computer Vision, Machine Learning; Theory and Algorithm for Feature Extraction.