RIKEN Center for Advanced Intelligence Project Data-Driven Experimental Design Team
Team Director: Ichiro Takeuchi (D.Eng.)
Research Summary
In various fields of scientific research, data-driven approaches are enabling the generation of hypotheses, the planning of experiments, and even the discovery of new knowledge, thereby bringing innovation to the research process. At the same time, data-driven research faces challenges such as limited interpretability, susceptibility to bias, and a lack of reproducibility, making it essential to ensure reliability and transparency. In conventional research, systematic practices based on "experimental design" have been established as methodologies for research design—determining which experiments to conduct and how to draw conclusions from their results. The mission of our team is to evolve and advance this framework to adapt to data-driven research, thereby establishing a foundation for "data-driven experimental design," and ensuring the sound development of data-driven science. To achieve this goal, we are developing novel machine learning techniques tailored to scientific research and demonstrating their effectiveness across a range of scientific challenges.
Main Research Fields
- Computer Science
Related Research Fields
- Materials Sciences
- Biology & Biochemistry
- Molecular Biology & Genetics
- Clinical Medicine
- Mathematics
Research Subjects
- Data Science
Selected Publications
- 1.
Shiraishi T., Miwa D., Katsuoka T., Duy V.N.L., Taji K., Takeuchi I.:
"Statistical Test for Attention Maps in Vision Transformers"
International Conference on Machine Learning (2024) - 2.
Duy V.N.L., Lin H.T., Takeuchi I.:
"CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference"
AI&Statistics (2024) - 3.
Goto K., Tamehiro N., Yoshida T., Hanada H., Sakuma T., Adachi R., Kondo K., Takeuchi I.:
"Novel Machine Learning Method AllerStat Identifies Statistically Significant Allergen-Specific Patterns in Protein Sequences."
Journal of Biological Chemistry. Vol.299-6, 104733 (2023) - 4.
Hashimoto N., Takagi Y., Masuda H., Miyoshi H., Kohno K., Nagaishi M., Sato K., Takeuchi M., Furuta T., Kawamoto K., Yamada K., Moritsubo M., Inoue K., Shimasaki Y., Ogura Y., Imamoto T., Mishina T., Tanaka K., Kawaguchi Y., Nakamura S., Ohshima K., Hontani H., Takeuchi I.:
"Case-based Similar Image Retrieval for Weakly Annotated Large Histopathological Images of Malignant Lymphoma Using Deep Metric Learning."
Medical Image Analysis. Vol.85 (2023) - 5.
Kato H., Hanada H., Takeuchi I.:
"Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening."
IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol.45-2, pp.2330-2343 (2023) - 6.
Miwa D., Duy V.N.L., Takeuchi I.:
"Valid P-Value for Deep Learning-driven Salient Region"
The International Conference on Learning Representation (2023) - 7.
Ndiaye E., Takeuchi I.:
"Root-finding Approaches for Computing Conformal Prediction Set"
Machine Learning (2022) - 8.
Duy V.N.L., Takeuchi I.:
"More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming."
Journal of Machine Learning Research. Vol.23(300) (2022) - 9.
Duy V.N.L., Iwazaki S., Takeuchi I.:
"Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference."
Neural Information Processing Systems (2022) - 10.
Inatsu Y., Takeno S., Karasuyama M., Takeuchi I.:
"Bayesian Optimization for Distributionally Robust Chance-constrained Problem."
International Conference on Machine Learning (2022)
Related Links
Lab Members
Principal investigator
- Ichiro Takeuchi
- Team Director
Core members
- Noriaki Hashimoto
- Research Scientist
- Toru Ujihara
- Visiting Scientist
- Keiichi Inoue
- Visiting Scientist
- Vo Nguyen Le Duy
- Visiting Scientist
- Kentaro Kutsukake
- Visiting Scientist
- Hiroyuki Hanada
- Visiting Scientist
- Shuichi Nishino
- Junior Research Associate
- Tomohiro Shiraishi
- Junior Research Associate
- Xudong Chen
- Research Part-time Worker I
- Onur Boyar
- Research Part-time Worker I
Contact Information
#427 4th Floor Bldg. 2, Nagoya University, Furo-cho, Chikusa-ku,
Nagoya, Aichi,
464-8603, Japan
Email: ichiro.takeuchi@riken.jp