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Yu Inatsu

Showing results (1-10 of 7) with videos related to

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Neural Computation|October 28, 2021
Bayesian Quadrature Optimization for Probability Threshold Robustness MeasureShogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Neural Computation|October 20, 2020
Active Learning for Level Set Estimation Under Input Uncertainty and Its ExtensionsYu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Neural Computation|August 16, 2020
Active Learning for Enumerating Local Minima Based on Gaussian Process DerivativesYu Inatsu, Daisuke Sugita, Kazuaki Toyoura, et al.
Neural Computation|August 16, 2020
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region EstimationYu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Neural Computation|October 25, 2022
Bayesian Optimization for Cascade-Type Multistage ProcessesShunya Kusakawa, Shion Takeno, Yu Inatsu, et al.
Communications Biology|March 20, 2021
Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental designKeiichi Inoue, Masayuki Karasuyama, Ryoko Nakamura, et al.
Communications Biology|May 1, 2021
Author Correction: Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental designKeiichi Inoue, Masayuki Karasuyama, Ryoko Nakamura, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Neural Computation|October 28, 2021
Bayesian Quadrature Optimization for Probability Threshold Robustness MeasureShogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Neural Computation|October 20, 2020
Active Learning for Level Set Estimation Under Input Uncertainty and Its ExtensionsYu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Neural Computation|August 16, 2020
Active Learning for Enumerating Local Minima Based on Gaussian Process DerivativesYu Inatsu, Daisuke Sugita, Kazuaki Toyoura, et al.
Neural Computation|August 16, 2020
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region EstimationYu Inatsu, Masayuki Karasuyama, Keiichi Inoue, et al.
Neural Computation|October 25, 2022
Bayesian Optimization for Cascade-Type Multistage ProcessesShunya Kusakawa, Shion Takeno, Yu Inatsu, et al.
Communications Biology|March 20, 2021
Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental designKeiichi Inoue, Masayuki Karasuyama, Ryoko Nakamura, et al.
Communications Biology|May 1, 2021
Author Correction: Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental designKeiichi Inoue, Masayuki Karasuyama, Ryoko Nakamura, et al.
Pageof 1