Masato Okada

发表

Three levels of data-driven science

Yoshinori Nakanishi-Ohno, Kenji Nagata, Yasuhiko Igarashi, 2016 .

Bayesian inversion with sparsity constraint for spatial distribution of afterslip

Takane Hori, Masato Okada, Ryoko Nakata, 2015 .

Efficient Estimation of Classical Spin Hamiltonian based on Bayesian Inference by using Markov Chain Monte Carlo Method

Kenji Nagata, Hikaru Takenaka, Masato Okada, 2018 .

Bayes-optimal solution to inverse halftoning based on statistical mechanics of the Q-Ising model

Jun-ichi Inoue, Hiroyuki Tanaka, Yohei Saika, 2008, 0807.3209.

Performance evaluation of digital watermarking model with image restoration : image restoration using 2D Ising model

Masato Okada, Masaki Kawamura, Tatsuya Uezu, 2012 .

Multiple Stability of a Sparsely Encoded Attractor Neural Network Model for the Inferior Temporal Cortex

Masato Okada, Tatsuya Uezu, Tomoyuki Kimoto, 2008 .

The Effect of Batch Normalization in the Symmetric Phase

Masato Okada, Shiro Takagi, Yuki Yoshida, 2020, ICANN.

Localized Generations with Deep Neural Networks for Multi-Scale Structured Datasets

Yuki Yoshida, Yoshihiro Nagano, Masato Okada, 2019 .

Applications of Markov random field models for inversion problems in geosciences

Kenji Nagata, Tatsu Kuwatani, Masato Okada, 2012 .

Development of Data-Driven System in Materials Integration

Yoshitaka Adachi, Hiromichi Nagao, Masato Okada, 2019 .

Data-dependence of plateau phenomenon in learning with neural network—statistical mechanical analysis

Yuki Yoshida, Masato Okada, M. Okada, 2020, NeurIPS.

Sophistication of coastal tsunami height real-time prediction system by sparse modeling

Takane Hori, Yasuhiko Igarashi, Masato Okada, 2015 .

Node perturbation learning without noiseless baseline

Kazuo Okanoya, Kentaro Katahira, Masato Okada, 2011, Neural Networks.

A Numerical Analysis of Learning Coefficient in Radial Basis Function Network

Kenji Nagata, Masato Okada, Satoru Tokuda, 2014 .

Neuronal Mechanisms Encoding Global-to-Fine Information in Inferior-Temporal Cortex

Shigeru Yamane, Masato Okada, Narihisa Matsumoto, 2005, Journal of Computational Neuroscience.

Neocognitron learning by backpropagation

Kunihiko Fukushima, Masato Okada, Michihiro Ohno, 1995, Systems and Computers in Japan.

Using machine learning method for drug design to develop a high-performance virtual screening

Hayato Ohwada, Katsutoshi Kanamori, Shin Aoki, 2014 .

Theory of recurrent neural network with common synaptic inputs

Michiko Yamana, Masaki Kawamura, Masato Okada, 2005 .

Statistical Mechanics of the Delayed Reward-Based Learning with Node Perturbation

Kazuo Okanoya, Masato Okada, Hiroshi Saito, 2010 .

Role of two learning rates in convergence of model-agnostic meta-learning

Yoshihiro Nagano, Masato Okada, Shiro Takagi, 2019 .

ILP based screening applied to predicting carbonic anhydrase II ligands

Hayato Ohwada, Shin Aoki, Masato Okada, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Controlling Synfire Chain by Inhibitory Synaptic Input

Hideyuki Câteau, Takashi Shinozaki, Masato Okada, 2007 .

Geodetic inversion for spatial distribution of slow earthquakes under sparsity constraint (Fused Lasso)

Hideitsu Hino, Takane Hori, Masato Okada, 2016 .

Fast Bayesian Deconvolution using Simple Reversible Jump Moves.

Kenji Nagata, Masato Okada, Koki Okajima, 2020 .

A neural network model for generating complex birdsong syntax

Kentaro Katahira, Kazuo Okanoya, Masato Okada, 2007, Biological Cybernetics.

Stability Analysis on Stochastic Neural Network with Dynamic Synapses

Kazuyuki Aihara, Yasuhiko Igarashi, Yuichi Katori, 2012 .

Dynamically Coupled Oscillators - Cooperative Behavior via

Toru Aonishi, Masato Okada, 2008 .