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heavy ion beams at the accelerator facilities in Germany and China. We also initiated and lead the project to study hypernuclei by analyzing the nuclear emulsion data with machine learning techniques. We
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various processes in modern machine learning, including learning, inference, and generation. In particular, we are working to establish novel theories and algorithms that enhance the efficiency
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Commun, 2023) and zebrafish (bioRxiv, 2025). -We developed an unsupervised learning scheme (PredPCA) that extracts the most informative components for predicting future inputs (Nature Mach Intell, 2021
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