Data-driven Systems Research Group (Machine Learning & Data Science: Theory and Practice)

Research Topics

We are working on theoretical and practical research on artificial intelligence (AI), machine learning (ML), and data science (DS). We particularly focus on developing methodologies for AI, ML and DS to promote data-driven science and technology.

Members

We are closely collaborating with the Data-driven Experimental Design Team at RIKEN Center for Advanced Intelligence Project (AIP) and Karasuyama/Inatsu Laboratory in the Department of Computer Science at Nagoya Institute of Technology.

Publications

Our research results on AI, machine learning and data science methodologies have been accepted to top conferences in the field, such as NeurIPS and ICML. Our collaboration research results with various fields such as life science and materials science have been accepted to high-impact journals in each field.

Projects

We participate in various research projects and are looking for postdoctoral researchers who are interested in theoretical and applied research in AI, machine learning, and data science. Please contact us if you are interested.

News

2025-09-19
Niihori-san (M2) and his colleagues' paper has been accepted to Conference on Neural Information Processing Systems (NeurIPS).
2025-09-03
Onur-san (D3) and his colleagues' paper has been accepted for publication in Transactions on Machine Learning Research (TMLR).
2025-08-07
Nishino-san (D2) and his colleagues' paper has been accepted for publication in Transactions on Machine Learning Research (TMLR).
2025-07-17
Onur-san (D3) and his colleagues' paper has been published in Neural Computation.

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