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Variational Inference with Normalizing Flows
v1v2v3v4v5v6 (latest)

Variational Inference with Normalizing Flows

21 May 2015
Danilo Jimenez Rezende
S. Mohamed
    DRLBDL
ArXiv (abs)PDFHTML

Papers citing "Variational Inference with Normalizing Flows"

18 / 2,268 papers shown
Title
One-Shot Generalization in Deep Generative Models
One-Shot Generalization in Deep Generative Models
Danilo Jimenez Rezende
S. Mohamed
Ivo Danihelka
Karol Gregor
Daan Wierstra
BDLVLMDRLLRM
131
254
0
16 Mar 2016
Automatic Differentiation Variational Inference
Automatic Differentiation Variational Inference
A. Kucukelbir
Dustin Tran
Rajesh Ranganath
Andrew Gelman
David M. Blei
133
720
0
02 Mar 2016
Variational inference for Monte Carlo objectives
Variational inference for Monte Carlo objectives
A. Mnih
Danilo Jimenez Rezende
DRLBDL
173
291
0
22 Feb 2016
Auxiliary Deep Generative Models
Auxiliary Deep Generative Models
Lars Maaløe
C. Sønderby
Søren Kaae Sønderby
Ole Winther
DRLGAN
119
451
0
17 Feb 2016
Variational Inference for Sparse and Undirected Models
Variational Inference for Sparse and Undirected Models
John Ingraham
D. Marks
118
8
0
11 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDLDRL
110
916
0
06 Feb 2016
Black box variational inference for state space models
Black box variational inference for state space models
Evan Archer
Il Memming Park
Lars Buesing
John P. Cunningham
Liam Paninski
BDL
85
161
0
23 Nov 2015
The Variational Gaussian Process
The Variational Gaussian Process
Dustin Tran
Rajesh Ranganath
David M. Blei
BDL
131
186
0
20 Nov 2015
Denoising Criterion for Variational Auto-Encoding Framework
Denoising Criterion for Variational Auto-Encoding Framework
Daniel Jiwoong Im
Sungjin Ahn
Roland Memisevic
Yoshua Bengio
103
196
0
19 Nov 2015
Generating Sentences from a Continuous Space
Generating Sentences from a Continuous Space
Samuel R. Bowman
Luke Vilnis
Oriol Vinyals
Andrew M. Dai
Rafal Jozefowicz
Samy Bengio
DRL
121
2,367
0
19 Nov 2015
Super-Resolution with Deep Convolutional Sufficient Statistics
Super-Resolution with Deep Convolutional Sufficient Statistics
Joan Bruna
Pablo Sprechmann
Yann LeCun
SupR
85
326
0
18 Nov 2015
Deep Kalman Filters
Deep Kalman Filters
Rahul G. Krishnan
Uri Shalit
David Sontag
BDLAI4TS
96
374
0
16 Nov 2015
Symmetries and control in generative neural nets
Symmetries and control in generative neural nets
Galin Georgiev
AI4CEGAN
37
2
0
09 Nov 2015
Hierarchical Variational Models
Hierarchical Variational Models
Rajesh Ranganath
Dustin Tran
David M. Blei
DRLVLM
111
337
0
07 Nov 2015
Stochastic gradient descent methods for estimation with large data sets
Stochastic gradient descent methods for estimation with large data sets
Dustin Tran
Panos Toulis
E. Airoldi
55
14
0
22 Sep 2015
Importance Weighted Autoencoders
Importance Weighted Autoencoders
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
BDL
302
1,247
0
01 Sep 2015
Pareto Smoothed Importance Sampling
Pareto Smoothed Importance Sampling
Aki Vehtari
Daniel Simpson
Andrew Gelman
Yuling Yao
Jonah Gabry
145
242
0
09 Jul 2015
Data Generation as Sequential Decision Making
Data Generation as Sequential Decision Making
Philip Bachman
Doina Precup
106
58
0
10 Jun 2015
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