Universal Approximation of Residual Flows in Maximum Mean Discrepancy

10 March 2021

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

8 / 8 papers shown

Title
Approximating Lipschitz continuous functions with GroupSort neural networks Ugo Tanielian Maxime Sangnier Gérard Biau 44 36 0 09 Jun 2020
Augmented Neural ODEs Emilien Dupont Arnaud Doucet Yee Whye Teh BDL 85 622 0 02 Apr 2019
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 57 319 0 13 Nov 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 232 5,024 0 19 Jun 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 84 439 0 03 Apr 2018
The Expressive Power of Neural Networks: A View from the Width Zhou Lu Hongming Pu Feicheng Wang Zhiqiang Hu Liwei Wang 67 886 0 08 Sep 2017
On the ability of neural nets to express distributions Holden Lee Rong Ge Tengyu Ma Andrej Risteski Sanjeev Arora BDL 58 84 0 22 Feb 2017
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 109 863 0 12 Feb 2015