3 papers
stat.ML2021
Statistical Mechanical Analysis of Catastrophic Forgetting in Continual Learning with Teacher and Student Networks
Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano +3
When a computational system continuously learns from an ever-changing environment, it rapidly forgets its past experiences. This phenomenon is called catastrophic forgetting. While…
physics.data-an2021
Appropriate basis selection based on Bayesian inference for analyzing measured data reflecting photoelectron wave interference
Yasuhiko Igarashi, Fabio Iesari, Hiroyuki Setoyama +4
In this study, we applied Bayesian inference for extended X-ray absorption fine structure (EXAFS) to select an appropriate basis from among Fourier, wavelet and advanced Fourier ba…
physics.data-an2021
Sparse Modeling analysis of Extended X-ray Absorption Fine Structure data using two-body expansion
Fabio Iesari, Hiroyuki Setoyama, Yasuhiko Igarashi +6
Analysis of extended X-ray absorption fine structure (EXAFS) data by the use of sparse modeling is presented. We consider the two-body term in the n-body expansion of the EXAFS sig…