activity
19982021
most citedComplex sequencing rules of birdsong can be explained by simple hidden Markov processes

81 citations · 825 across the 77 of their papers we have counts for

collaborators

77 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★ 1 cited

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…

quant-ph2021

L0 regularization-based compressed sensing with quantum-classical hybrid approach

Toru Aonishi, Kazushi Mimura, Masato Okada +1

L0-regularization-based compressed sensing (L0-RBCS) has the potential to outperform L1-regularization-based compressed sensing (L1-RBCS), but the optimization in L0-RBCS is diffic…

stat.ME2020★ 5 cited

Fast Bayesian Deconvolution using Simple Reversible Jump Moves

Koki Okajima, Kenji Nagata, Masato Okada

We propose a Markov chain Monte Carlo-based deconvolution method designed to estimate the number of peaks in spectral data, along with the optimal parameters of each radial basis f…

cond-mat.stat-mech2020★ 4 cited

A Phase Prediction Method for Pattern Formation in Time-Dependent Ginzburg-Landau Dynamics for Kinetic Ising Model without a priori Assumptions on Domain Patterns

Ryoji Anzaki, Shin-ichi Ito, Hiromichi Nagao +3

We propose a phase prediction method for the pattern formation in the uniaxial two-dimensional kinetic Ising model with the dipole-dipole interactions under the time-dependent Ginz…