activity
20152026
most citedStatistical-mechanical analysis of compressed sensing for Hamiltonian estimation of Ising spin glass

14 citations · 37 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SI2026

Temporal Portability of Numeric User Metadata on Twitter

Chako Takahashi, Mitsuo Yoshida, Muneki Yasuda

Numeric user metadata in social media are often reused over time. However, their reusability may depend on what an analysis needs to preserve. We introduce temporal portability as…

stat.ML2024★ 4 cited

Dataset-Free Weight-Initialization on Restricted Boltzmann Machine

Muneki Yasuda, Ryosuke Maeno, Chako Takahashi

In feed-forward neural networks, dataset-free weight-initialization methods such as LeCun, Xavier (or Glorot), and He initializations have been developed. These methods randomly de…

stat.ML2022★ 6 cited

Free Energy Evaluation Using Marginalized Annealed Importance Sampling

Muneki Yasuda, Chako Takahashi

The evaluation of the free energy of a stochastic model is considered a significant issue in various fields of physics and machine learning. However, the exact free energy evaluati…

cond-mat.dis-nn2018

Adaptive Thouless--Anderson--Palmer equation for higher-order Markov random fields

Chako Takahashi, Muneki Yasuda, Kazuyuki Tanaka

The adaptive Thouless--Anderson--Palmer (TAP) mean-field approximation is one of the advanced mean-field approaches, and it is known as a powerful accurate method for Markov random…

cond-mat.stat-mech2018★ 14 cited

Statistical-mechanical analysis of compressed sensing for Hamiltonian estimation of Ising spin glass

Chako Takahashi, Masayuki Ohzeki, Shuntaro Okada +3

Several powerful machines, such as the D-Wave 2000Q, dedicated to solving combinatorial optimization problems through the Ising-model formulation have been developed. To input prob…

cond-mat.dis-nn2016★ 2 cited

Perturbative Interpretation of Adaptive Thouless-Anderson-Palmer Free Energy

Muneki Yasuda, Chako Takahashi, Kazuyuki Tanaka

In conventional well-known derivation methods for the adaptive Thouless-Anderson-Palmer (TAP) free energy, special assumptions that are difficult to mathematically justify except i…

stat.ML2015★ 11 cited

Mean-Field Inference in Gaussian Restricted Boltzmann Machine

Chako Takahashi, Muneki Yasuda

A Gaussian restricted Boltzmann machine (GRBM) is a Boltzmann machine defined on a bipartite graph and is an extension of usual restricted Boltzmann machines. A GRBM consists of tw…