Universal Approximation of Residual Flows in Maximum Mean Discrepancy

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Universal Approximation of Residual Flows in Maximum Mean Discrepancy

10 March 2021

Kamalika Chaudhuri

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Papers citing "Universal Approximation of Residual Flows in Maximum Mean Discrepancy"

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Title
FORT: Forward-Only Regression Training of Normalizing Flows Danyal Rehman Oscar Davis Jiarui Lu Jian Tang M. Bronstein Yoshua Bengio Alexander Tong A. Bose OOD 40 0 0 01 Jun 2025
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport Zhe Xiong Qiaoqiao Ding Xiaoqun Zhang OOD 86 0 0 26 Aug 2023
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation Liang Li Yifei Duan Guanghua Ji Yongqiang Cai MLT 94 14 0 29 May 2023
Universal approximation property of invertible neural networks Isao Ishikawa Takeshi Teshima Koichi Tojo Kenta Oono Masahiro Ikeda Masashi Sugiyama 101 31 0 15 Apr 2022
Learning to Bound: A Generative Cramér-Rao Bound H. Habi H. Messer Y. Bresler 117 11 0 07 Mar 2022
On the expressivity of bi-Lipschitz normalizing flows Alexandre Verine Benjamin Négrevergne F. Rossi Y. Chevaleyre TPM 92 17 0 15 Jul 2021

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