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Universal Approximation Property of Invertible Neural Networks
Jan. 1, 2023, midnight | Isao Ishikawa, Takeshi Teshima, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama
JMLR www.jmlr.org
applications approximation architectures cost design generative generative modeling layer machine machine learning machine learning applications modeling network networks neural network neural networks probabilistic modeling property representation representation learning
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