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Ryuichiro Hataya

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Glocal Hypergradient Estimation with Koopman Operator

Feb 05, 2024
Ryuichiro Hataya, Yoshinobu Kawahara

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Self-attention Networks Localize When QK-eigenspectrum Concentrates

Feb 03, 2024
Han Bao, Ryuichiro Hataya, Ryo Karakida

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An Empirical Investigation of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration

Jul 17, 2023
Hiroki Naganuma, Ryuichiro Hataya

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MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era

Jun 29, 2023
Leonardo Placidi, Ryuichiro Hataya, Toshio Mori, Koki Aoyama, Hayata Morisaki, Kosuke Mitarai, Keisuke Fujii

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Sketch-based Medical Image Retrieval

Mar 07, 2023
Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Takaaki Mizuno, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Yasuyuki Takamizawa, Yukihiro Yoshida, Satoshi Nakamura, Nobuji Kouno, Amina Bolatkan, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto

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Nystrom Method for Accurate and Scalable Implicit Differentiation

Feb 20, 2023
Ryuichiro Hataya, Makoto Yamada

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Noncommutative $C^*$-algebra Net: Learning Neural Networks with Powerful Product Structure in $C^*$-algebra

Jan 26, 2023
Ryuichiro Hataya, Yuka Hashimoto

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Will Large-scale Generative Models Corrupt Future Datasets?

Nov 15, 2022
Ryuichiro Hataya, Han Bao, Hiromi Arai

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Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval

Mar 23, 2021
Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto

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Graph Energy-based Model for Substructure Preserving Molecular Design

Feb 09, 2021
Ryuichiro Hataya, Hideki Nakayama, Kazuki Yoshizoe

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