Quantum hypothesis testing for quantum Gaussian states: Quantum analogues of chi-square, t and F tests W Kumagai, M Hayashi arXiv preprint arXiv:1110.6255, 2011 | 37 | 2011 |

Uncertainty propagation for dropout-based Bayesian neural networks Y Mae, W Kumagai, T Kanamori Neural Networks 144, 394-406, 2021 | 36 | 2021 |

Entanglement concentration is irreversible W Kumagai, M Hayashi Physical Review Letters 111 (13), 130407, 2013 | 35 | 2013 |

Second-order asymptotics of conversions of distributions and entangled states based on Rayleigh-normal probability distributions W Kumagai, M Hayashi IEEE Transactions on Information Theory 63 (3), 1829-1857, 2016 | 32 | 2016 |

Group equivariant conditional neural processes M Kawano, W Kumagai, A Sannai, Y Iwasawa, Y Matsuo arXiv preprint arXiv:2102.08759, 2021 | 28 | 2021 |

Regret analysis for continuous dueling bandit W Kumagai Advances in Neural Information Processing Systems 30, 2017 | 26 | 2017 |

Learning bound for parameter transfer learning W Kumagai Advances in neural information processing systems 29, 2016 | 23 | 2016 |

A characterization of extended monotone metrics W Kumagai Linear algebra and its applications 434 (1), 224-231, 2011 | 21 | 2011 |

Universal approximation theorem for equivariant maps by group cnns W Kumagai, A Sannai arXiv preprint arXiv:2012.13882, 2020 | 18 | 2020 |

Random number conversion and LOCC conversion via restricted storage W Kumagai, M Hayashi IEEE Transactions on Information Theory 63 (4), 2504-2532, 2017 | 16 | 2017 |

Quantum Hypothesis Testing for Gaussian States: Quantum Analogues of χ^{2}, t-, and F-TestsW Kumagai, M Hayashi Communications in Mathematical Physics 318, 535-574, 2013 | 14 | 2013 |

Asymptotic compatibility between local-operations-and-classical-communication conversion and recovery K Ito, W Kumagai, M Hayashi Physical Review A 92 (5), 052308, 2015 | 11 | 2015 |

Parallel distributed block coordinate descent methods based on pairwise comparison oracle K Matsui, W Kumagai, T Kanamori Journal of Global Optimization 69, 1-21, 2017 | 9 | 2017 |

A new family of probability distributions and asymptotics of classical and locc conversions W Kumagai, M Hayashi arXiv preprint arXiv:1306.4166, 2047-2051, 2013 | 8 | 2013 |

Lpml: Llm-prompting markup language for mathematical reasoning R Yamauchi, S Sonoda, A Sannai, W Kumagai arXiv preprint arXiv:2309.13078, 2023 | 7 | 2023 |

Risk bound of transfer learning using parametric feature mapping and its application to sparse coding W Kumagai, T Kanamori Machine Learning 108, 1975-2008, 2019 | 7 | 2019 |

Spectral embedded deep clustering Y Wada, S Miyamoto, T Nakagama, L Andéol, W Kumagai, T Kanamori Entropy 21 (8), 795, 2019 | 5 | 2019 |

Second order asymptotics for random number generation W Kumagai, M Hayashi 2013 IEEE International Symposium on Information Theory, 1506-1510, 2013 | 5 | 2013 |

Langevin autoencoders for learning deep latent variable models S Taniguchi, Y Iwasawa, W Kumagai, Y Matsuo Advances in Neural Information Processing Systems 35, 13277-13289, 2022 | 4 | 2022 |

Introduction to bandit convex optimization algorithms W Kumagai 2018 International Symposium on Information Theory and Its Applications …, 2018 | 4 | 2018 |