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physics.data-an2026
Integrating Bayesian Spectral Deconvolution and Expert Scientific Reasoning for Robust Peak Estimation
Hayato Okubo, Yoshifumi Amamoto, Toshimitsu Aritake +5
Spectral deconvolution is essential for extracting peak structures that encode material properties and chemical structures, but conventional automated methods often fail when spect…
physics.data-an2023
Dynamics-Based Intrinsic Signal Model for High-Dimensional, Small-Sample Data
Yoh-ichi Mototake, Y-h. Taguchi
Signal extraction is difficult when the number of variables is much larger than the number of observations . We address this problem under the working hypothesis that an emp…
physics.data-an2020★ 21 cited
Interpretable Conservation Law Estimation by Deriving the Symmetries of Dynamics from Trained Deep Neural Networks
Yoh-ichi Mototake
Understanding complex systems with their reduced model is one of the central roles in scientific activities. Although physics has greatly been developed with the physical insights…