58 citations · 62 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Exhaustive search for sparse variable selection in linear regression
Yasuhiko Igarashi, Hikaru Takenaka, Yoshinori Nakanishi-Ohno +3
We propose a K-sparse exhaustive search (ES-K) method and a K-sparse approximate exhaustive search method (AES-K) for selecting variables in linear regression. With these methods,…
Mean Field Analysis of Stochastic Neural Network Models with Synaptic Depression
Yasuhiko Igarashi, Masafumi Oizumi, Masato Okada
We investigated the effects of synaptic depression on the macroscopic behavior of stochastic neural networks. Dynamical mean field equations were derived for such networks by takin…