Mahito Sugiyama

I am an associate professor at National Institute of Informatics. My research field is computer science, in particular, I am interested in machine learning, data mining, and knowledge discovery. My central research area is between discrete and continuous worlds.


Our lab webpage at NII has been released at: NEW
We have been awarded JSAI Incentive Award (First author: Yuka Yoneda) NEW
Our paper "Finding Statistically Significant Interactions between Continuous Features" has been accepted to The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019, 2019.8.10-16) NEW arXiv Paper Code (GitHub) Slide Poster
Our paper "Summarizing Significant Subgraphs by Probabilistic Logic Programming" (First author: Elena Bellodi) has been accepted to Intelligent Data Analysis
Our paper "Learning Graph Representation via Formal Concept Analysis" (First author: Yuka Yoneda) has been accepted to NeurIPS 2018 Workshop on Relational Representation Learning (R2L 2018, 2018.12.8) arXiv PDF
Our paper "Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions" (First author: Simon Luo) has been accepted to The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019, 2019.1.27-2.1) arXiv Paper Code (GitHub)
I became a JST PRESTO Researcher (concurrent)
Our paper "Legendre Decomposition for Tensors" has been accepted to The 32nd Annual Conference on Neural Information Processing Systems (NeurIPS 2018, 2018.12.3-8) as spotlight presentation arXiv Paper Poster Slide Code (GitHub)

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