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1810.03256
Cited By
Deep Diffeomorphic Normalizing Flows
8 October 2018
Hadi Salman
Payman Yadollahpour
Tom Fletcher
N. Batmanghelich
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Papers citing
"Deep Diffeomorphic Normalizing Flows"
21 / 21 papers shown
Title
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
Yindong Chen
Yiwei Wang
Lulu Kang
Chun Liu
77
2
0
21 Nov 2021
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
390
10,591
0
17 Feb 2020
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
406
5,099
0
19 Jun 2018
Pathwise Derivatives for Multivariate Distributions
M. Jankowiak
Theofanis Karaletsos
105
11
0
05 Jun 2018
Neural Autoregressive Flows
Chin-Wei Huang
David M. Krueger
Alexandre Lacoste
Aaron Courville
DRL
AI4CE
138
442
0
03 Apr 2018
Sylvester Normalizing Flows for Variational Inference
Rianne van den Berg
Leonard Hasenclever
Jakub M. Tomczak
Max Welling
BDL
DRL
82
253
0
15 Mar 2018
PDE-Net: Learning PDEs from Data
Zichao Long
Yiping Lu
Xianzhong Ma
Bin Dong
DiffM
AI4CE
38
755
0
26 Oct 2017
Masked Autoregressive Flow for Density Estimation
George Papamakarios
Theo Pavlakou
Iain Murray
204
1,351
0
19 May 2017
Stable Architectures for Deep Neural Networks
E. Haber
Lars Ruthotto
143
728
0
09 May 2017
Improving Variational Auto-Encoders using Householder Flow
Jakub M. Tomczak
Max Welling
BDL
DRL
68
175
0
29 Nov 2016
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDL
DRL
135
1,818
0
15 Jun 2016
Neural Autoregressive Distribution Estimation
Benigno Uria
Marc-Alexandre Côté
Karol Gregor
Iain Murray
Hugo Larochelle
76
314
0
07 May 2016
Automatic Differentiation Variational Inference
A. Kucukelbir
Dustin Tran
Rajesh Ranganath
Andrew Gelman
David M. Blei
106
717
0
02 Mar 2016
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
463
2,568
0
25 Jan 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Variational Inference with Normalizing Flows
Danilo Jimenez Rezende
S. Mohamed
DRL
BDL
308
4,179
0
21 May 2015
Early Stopping is Nonparametric Variational Inference
D. Maclaurin
David Duvenaud
Ryan P. Adams
BDL
76
95
0
06 Apr 2015
MADE: Masked Autoencoder for Distribution Estimation
M. Germain
Karol Gregor
Iain Murray
Hugo Larochelle
OOD
SyDa
UQCV
170
867
0
12 Feb 2015
Neural Variational Inference and Learning in Belief Networks
A. Mnih
Karol Gregor
BDL
171
730
0
31 Jan 2014
RNADE: The real-valued neural autoregressive density-estimator
Benigno Uria
Iain Murray
Hugo Larochelle
100
238
0
02 Jun 2013
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression
Tim Salimans
David A. Knowles
110
252
0
28 Jun 2012
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