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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"

50 / 2,268 papers shown
Title
Scalable Population Synthesis with Deep Generative Modeling
Scalable Population Synthesis with Deep Generative Modeling
S. Borysov
Jeppe Rich
Francisco Câmara Pereira
41
58
0
21 Aug 2018
Analyzing Inverse Problems with Invertible Neural Networks
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
Neural Importance Sampling
Neural Importance Sampling
Thomas Müller
Brian McWilliams
Fabrice Rousselle
Markus Gross
Jan Novák
100
365
0
11 Aug 2018
Unbiased Implicit Variational Inference
Unbiased Implicit Variational Inference
Michalis K. Titsias
Francisco J. R. Ruiz
BDL
138
57
0
06 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of
  Graphical Modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
104
16
0
05 Aug 2018
Robust Regression for Automatic Fusion Plasma Analysis based on
  Generative Modeling
Robust Regression for Automatic Fusion Plasma Analysis based on Generative Modeling
Keisuke Fujii
Chihiro Suzuki
M. Hasuo
11
3
0
03 Aug 2018
Likelihood-free inference with an improved cross-entropy estimator
Likelihood-free inference with an improved cross-entropy estimator
M. Stoye
Johann Brehmer
Gilles Louppe
J. Pavez
Kyle Cranmer
FedMLUQCVBDL
163
48
0
02 Aug 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the
  Standard Model
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
A. G. Baydin
Lukas Heinrich
W. Bhimji
Lei Shao
Saeid Naderiparizi
...
Philip Torr
Victor W. Lee
P. Prabhat
Kyle Cranmer
Frank Wood
90
31
0
20 Jul 2018
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
Ming-Yu Liu
Kainan Peng
Jitong Chen
102
347
0
19 Jul 2018
Parametric generation of conditional geological realizations using
  generative neural networks
Parametric generation of conditional geological realizations using generative neural networks
Shing Chan
A. Elsheikh
OODGANAI4CE
145
101
0
13 Jul 2018
Avoiding Latent Variable Collapse With Generative Skip Models
Avoiding Latent Variable Collapse With Generative Skip Models
Adji Bousso Dieng
Yoon Kim
Alexander M. Rush
David M. Blei
DRL
67
175
0
12 Jul 2018
Explorations in Homeomorphic Variational Auto-Encoding
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi
P. D. Haan
Tim R. Davidson
Nicola De Cao
Maurice Weiler
Patrick Forré
Taco S. Cohen
BDLDRL
107
115
0
12 Jul 2018
Handling Incomplete Heterogeneous Data using VAEs
Handling Incomplete Heterogeneous Data using VAEs
A. Nazábal
Pablo Martínez Olmos
Zoubin Ghahramani
Isabel Valera
65
352
0
10 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
356
3,153
0
09 Jul 2018
Learning in Variational Autoencoders with Kullback-Leibler and Renyi
  Integral Bounds
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds
Septimia Sârbu
Riccardo Volpi
Alexandra Peste
Luigi Malagò
DRL
29
0
0
05 Jul 2018
Understanding and Accelerating Particle-Based Variational Inference
Understanding and Accelerating Particle-Based Variational Inference
Chang-rui Liu
Jingwei Zhuo
Pengyu Cheng
Ruiyi Zhang
Jun Zhu
Lawrence Carin
86
14
0
04 Jul 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
524
5,184
0
19 Jun 2018
Continuous-variable quantum neural networks
Continuous-variable quantum neural networks
N. Killoran
T. Bromley
J. M. Arrazola
Maria Schuld
N. Quesada
S. Lloyd
GNN
69
360
0
18 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical
  Imaging
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Xiaoran Chen
Nick Pawlowski
Martin Rajchl
Ben Glocker
E. Konukoglu
OODMedIm
70
49
0
14 Jun 2018
Implicit Policy for Reinforcement Learning
Implicit Policy for Reinforcement Learning
Yunhao Tang
Shipra Agrawal
60
14
0
10 Jun 2018
A Stein variational Newton method
A Stein variational Newton method
Gianluca Detommaso
Tiangang Cui
Alessio Spantini
Youssef Marzouk
Robert Scheichl
143
117
0
08 Jun 2018
Variational Implicit Processes
Variational Implicit Processes
Chao Ma
Yingzhen Li
José Miguel Hernández-Lobato
BDL
121
70
0
06 Jun 2018
Randomized Value Functions via Multiplicative Normalizing Flows
Randomized Value Functions via Multiplicative Normalizing Flows
Ahmed Touati
Harsh Satija
Joshua Romoff
Joelle Pineau
Pascal Vincent
67
36
0
06 Jun 2018
Boosting Black Box Variational Inference
Boosting Black Box Variational Inference
Francesco Locatello
Gideon Dresdner
Rajiv Khanna
Isabel Valera
Gunnar Rätsch
81
32
0
06 Jun 2018
Pathwise Derivatives for Multivariate Distributions
Pathwise Derivatives for Multivariate Distributions
M. Jankowiak
Theofanis Karaletsos
121
11
0
05 Jun 2018
Diffeomorphic Learning
Diffeomorphic Learning
L. Younes
FedML
43
14
0
04 Jun 2018
Reparameterization Gradient for Non-differentiable Models
Reparameterization Gradient for Non-differentiable Models
Wonyeol Lee
Hangyeol Yu
Hongseok Yang
DRL
125
32
0
01 Jun 2018
Mining gold from implicit models to improve likelihood-free inference
Mining gold from implicit models to improve likelihood-free inference
Johann Brehmer
Gilles Louppe
J. Pavez
Kyle Cranmer
AI4CETPM
188
181
0
30 May 2018
Hamiltonian Variational Auto-Encoder
Hamiltonian Variational Auto-Encoder
Anthony L. Caterini
Arnaud Doucet
Dino Sejdinovic
BDLDRL
82
95
0
29 May 2018
Semi-Implicit Variational Inference
Semi-Implicit Variational Inference
Mingzhang Yin
Mingyuan Zhou
BDL
89
128
0
28 May 2018
A Stochastic Decoder for Neural Machine Translation
A Stochastic Decoder for Neural Machine Translation
P. Schulz
Wilker Aziz
Trevor Cohn
BDL
74
29
0
28 May 2018
Ergodic Inference: Accelerate Convergence by Optimisation
Ergodic Inference: Accelerate Convergence by Optimisation
Yichuan Zhang
José Miguel Hernández-Lobato
BDL
77
9
0
25 May 2018
Scalable Bayesian Learning for State Space Models using Variational
  Inference with SMC Samplers
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
Marcel Hirt
P. Dellaportas
BDL
81
10
0
23 May 2018
Conditional Inference in Pre-trained Variational Autoencoders via
  Cross-coding
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding
Ga Wu
Justin Domke
Scott Sanner
BDLDRL
72
11
0
20 May 2018
Learning 3D Shape Completion under Weak Supervision
Learning 3D Shape Completion under Weak Supervision
David Stutz
Andreas Geiger
3DPCSSL
101
106
0
18 May 2018
The Blessings of Multiple Causes
The Blessings of Multiple Causes
Yixin Wang
David M. Blei
AI4CECML
70
291
0
17 May 2018
Variational Inference In Pachinko Allocation Machines
Variational Inference In Pachinko Allocation Machines
Akash Srivastava
Charles Sutton
73
6
0
21 Apr 2018
A comparison of recent waveform generation and acoustic modeling methods
  for neural-network-based speech synthesis
A comparison of recent waveform generation and acoustic modeling methods for neural-network-based speech synthesis
Xin Wang
Jaime Lorenzo-Trueba
Shinji Takaki
Lauri Juvela
Junichi Yamagishi
70
67
0
07 Apr 2018
Variational Rejection Sampling
Variational Rejection Sampling
Aditya Grover
Ramki Gummadi
Miguel Lazaro-Gredilla
Dale Schuurmans
Stefano Ermon
BDL
126
32
0
05 Apr 2018
Training VAEs Under Structured Residuals
Training VAEs Under Structured Residuals
Garoe Dorta
Sara Vicente
Lourdes Agapito
Neill D. F. Campbell
Ivor J. A. Simpson
BDLDRL
33
12
0
03 Apr 2018
Hyperspherical Variational Auto-Encoders
Hyperspherical Variational Auto-Encoders
Tim R. Davidson
Luca Falorsi
Nicola De Cao
Thomas Kipf
Jakub M. Tomczak
DRLBDL
150
384
0
03 Apr 2018
Neural Autoregressive Flows
Neural Autoregressive Flows
Chin-Wei Huang
David M. Krueger
Alexandre Lacoste
Aaron Courville
DRLAI4CE
161
447
0
03 Apr 2018
Probabilistic Video Generation using Holistic Attribute Control
Probabilistic Video Generation using Holistic Attribute Control
Jiawei He
Andreas M. Lehrmann
Joseph Marino
Greg Mori
Leonid Sigal
VGenDiffMDRL
73
77
0
21 Mar 2018
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan
Stephan Zheng
Yisong Yue
Long Sha
P. Lucey
108
90
0
20 Mar 2018
Sylvester Normalizing Flows for Variational Inference
Sylvester Normalizing Flows for Variational Inference
Rianne van den Berg
Leonard Hasenclever
Jakub M. Tomczak
Max Welling
BDLDRL
124
253
0
15 Mar 2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal
  Exploration
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré
Sébastien Forestier
Olivier Sigaud
Pierre-Yves Oudeyer
SSLDRL
86
95
0
02 Mar 2018
BRUNO: A Deep Recurrent Model for Exchangeable Data
BRUNO: A Deep Recurrent Model for Exchangeable Data
I. Korshunova
Jonas Degrave
Ferenc Huszár
Y. Gal
Arthur Gretton
J. Dambre
BDL
66
34
0
21 Feb 2018
Bayesian Incremental Learning for Deep Neural Networks
Bayesian Incremental Learning for Deep Neural Networks
Max Kochurov
T. Garipov
D. Podoprikhin
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
OODCLLBDL
62
22
0
20 Feb 2018
Distribution Matching in Variational Inference
Distribution Matching in Variational Inference
Mihaela Rosca
Balaji Lakshminarayanan
S. Mohamed
GANCMLDRL
142
98
0
19 Feb 2018
Conditional Density Estimation with Bayesian Normalising Flows
Conditional Density Estimation with Bayesian Normalising Flows
Brian L. Trippe
Richard Turner
BDL
94
84
0
14 Feb 2018
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