Masato Okada

University of Tokyo

Japan

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Articles (19)

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2025

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2022

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2021

Collaborators (6)

Yuichi Yamasaki

National Institute for Materials Science

JAPAN

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Kazushi Mimura

Hiroshima University

JAPAN

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Kazunori Iwamitsu

Assistant Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

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Toru Aonishi

University of Tokyo

JAPAN

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Yasuhiko Igarashi

University of Tsukuba

JAPAN

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Atsushi Ishikawa

Associate Professor

Tokyo Institute of Technology

JAPAN

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Masato Okada

Research Interests

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Articles (19)

A Seafloor Pressure Sensor Effectiveness Evaluation in a Tsunami Height Estimation Model Using Gaussian Process Regression with Automatic Relevance Determination

Confidence evaluation for feature selection in expanded feature space based on density of states

Bayesian estimation of coupling strength and heterogeneity in a coupled oscillator model from macroscopic quantities

Bayesian Inference for Small-Angle Scattering Data II: Core–Shell Samples

New Poisson denoising method for pulse-count STEM imaging

Appropriate Basis Selection Based on Bayesian Inference for Analyzing Measured Data Reflecting Photoelectron Wave Interference

Unique Band Structure of Pressure Induced Semiconducting State in SmS Characterized by 33S-Nuclear Magnetic Resonance Measurements

Bayesian Inference for Small-Angle Scattering Data

Fast reconstruction of scanning transmission electron microscopy images using Markov random field model

Bayesian Inference for Small-Angle Scattering Data

Effect of Coupling Discretization on Coherent-Ising-Machine-Implemented Hopfield Model

Capacity-prediction models for organic anode-active materials of lithium-ion batteries: advances in predictors using small data

Efficient NMR measurement and data analysis supported by the Bayesian inference: The case of the heavy fermion compound YbCo2Zn20

Phase Retrieval Algorithm based on Total Variation Regularization for Ferromagnetic Domain Patterns

Data integration for multiple alkali metals in predicting coordination energies based on Bayesian inference

Hyperparameter estimation using a resolution matrix for Bayesian sensing

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

Bayesian parameter estimation from dispersion relation observation data with Poisson process

Replica-Exchange Monte Carlo Method Incorporating Auto-tuning Algorithm Based on Acceptance Ratios for Effective Bayesian Spectroscopy

Collaborators (6)

Yuichi Yamasaki

Kazushi Mimura

Kazunori Iwamitsu

Toru Aonishi

Yasuhiko Igarashi

Atsushi Ishikawa

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