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Deep Diffeomorphic Normalizing Flows

Deep Diffeomorphic Normalizing Flows

8 October 2018
Hadi Salman
Payman Yadollahpour
Tom Fletcher
N. Batmanghelich
ArXivPDFHTML

Papers citing "Deep Diffeomorphic Normalizing Flows"

21 / 21 papers shown
Title
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
Yindong Chen
Yiwei Wang
Lulu Kang
Chun Liu
80
2
0
21 Nov 2021
Decision-Making with Auto-Encoding Variational Bayes
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
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
406
5,103
0
19 Jun 2018
Pathwise Derivatives for Multivariate Distributions
Pathwise Derivatives for Multivariate Distributions
M. Jankowiak
Theofanis Karaletsos
105
11
0
05 Jun 2018
Neural Autoregressive Flows
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
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
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
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
Stable Architectures for Deep Neural Networks
E. Haber
Lars Ruthotto
145
728
0
09 May 2017
Improving Variational Auto-Encoders using Householder Flow
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
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
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
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
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
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
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
Early Stopping is Nonparametric Variational Inference
D. Maclaurin
David Duvenaud
Ryan P. Adams
BDL
84
95
0
06 Apr 2015
MADE: Masked Autoencoder for Distribution Estimation
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
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
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
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression
Tim Salimans
David A. Knowles
110
252
0
28 Jun 2012
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