Rchr
J-GLOBAL ID：202101011533682400
Update date: Feb. 01, 2024
Ishibashi Hideaki
イシバシ ヒデアキ | Ishibashi Hideaki
Affiliation and department：
Job title：
Assistant Professor
Research theme for competitive and other funds (3)：
- 2022 - 2024 Meta-modeling method for a set of energy-based models
- 2021 - 2024 Generative manifold modeling of set of datasets based on optimal transport distance
- 2020 - 2022 Information geometrical hierarchical modeling
Papers (11)：
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Hideaki Ishibashi, Shotaro Akaho. Principal component analysis for Gaussian process posteriors. CoRR. 2021. abs/2107.07115
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Ryuji Watanabe, Hideaki Ishibashi, Tetsuo Furukawa. Visual analytics of set data for knowledge discovery and member selection support. CoRR. 2021. abs/2104.09231
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Hideaki Ishibashi, Hideitsu Hino. Stopping Criterion for Active Learning Based on Error Stability. CoRR. 2021. abs/2104.01836
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Hideaki Ishibashi, Hideitsu Hino. Stopping criterion for active learning based on deterministic generalization bounds. CoRR. 2020. abs/2005.07402
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Hideaki Ishibashi, Hideitsu Hino. Stopping criterion for active learning based on deterministic generalization bounds. The 23rd International Conference on Artificial Intelligence and Statistics(AISTATS). 2020. 386-397
ｍore...
MISC (1)：
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An attempt of continuous latent variable model by non-negative kernel smoother. 2017. 117. 325. 29-34
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