Sylvester Normalizing Flows for Variational Inference

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Sylvester Normalizing Flows for Variational Inference

15 March 2018

Rianne van den Berg

Leonard Hasenclever

Jakub M. Tomczak

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Papers citing "Sylvester Normalizing Flows for Variational Inference"

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Title
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 98 325 0 13 Nov 2018
Deep Diffeomorphic Normalizing Flows Hadi Salman Payman Yadollahpour Tom Fletcher N. Batmanghelich 78 27 0 08 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 169 883 0 02 Oct 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 72 186 0 01 Oct 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville DRL 52 47 0 06 Sep 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 132 494 0 14 Aug 2018
Explorations in Homeomorphic Variational Auto-Encoding Luca Falorsi P. D. Haan Tim R. Davidson Nicola De Cao Maurice Weiler Patrick Forré Taco S. Cohen BDL DRL 107 115 0 12 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 521 5,184 0 19 Jun 2018
Backpropagation for Implicit Spectral Densities Aditya A. Ramesh Yann LeCun 55 10 0 01 Jun 2018
Hamiltonian Variational Auto-Encoder Anthony L. Caterini Arnaud Doucet Dino Sejdinovic BDL DRL 82 95 0 29 May 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 161 447 0 03 Apr 2018