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Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
Open Access
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- Suzuki Taiji
- 東京大学
Bibliographic Information
- Title
- Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding
- Author
- Akira Nakagawa, Keizo Kato, Taiji Suzuki
Journal
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- ICML2021, Proceedings of Machine Learning Research
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ICML2021, Proceedings of Machine Learning Research 139 2021
- Tweet
Details 詳細情報について
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- CRID
- 1010294643606400262
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- Article Type
- journal article
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- Data Source
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- KAKEN