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Importance Weighted Autoencoders
v1v2v3v4 (latest)

Importance Weighted Autoencoders

International Conference on Learning Representations (ICLR), 2015
1 September 2015
Yuri Burda
Roger C. Grosse
Ruslan Salakhutdinov
    BDL
ArXiv (abs)PDFHTML

Papers citing "Importance Weighted Autoencoders"

50 / 816 papers shown
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
220
183
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
242
119
0
12 Jul 2018
Latent Alignment and Variational Attention
Latent Alignment and Variational Attention
Yuntian Deng
Yoon Kim
Justin T. Chiu
Demi Guo
Alexander M. Rush
BDL
181
115
0
10 Jul 2018
Understanding VAEs in Fisher-Shannon Plane
Understanding VAEs in Fisher-Shannon Plane
Huangjie Zheng
Jiangchao Yao
Ya Zhang
Ivor W. Tsang
Jia Wang
130
13
0
10 Jul 2018
Handling Incomplete Heterogeneous Data using VAEs
Handling Incomplete Heterogeneous Data using VAEs
A. Nazábal
Pablo M. Olmos
Zoubin Ghahramani
Isabel Valera
328
399
0
10 Jul 2018
Adaptive Path-Integral Autoencoder: Representation Learning and Planning
  for Dynamical Systems
Adaptive Path-Integral Autoencoder: Representation Learning and Planning for Dynamical SystemsJournal of Statistical Mechanics: Theory and Experiment (JSTAT), 2018
Jung-Su Ha
Young-Jin Park
Hyeok-Joo Chae
Soon-Seo Park
Han-Lim Choi
BDL
198
27
0
05 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
105
0
0
05 Jul 2018
Quasi-Monte Carlo Variational Inference
Quasi-Monte Carlo Variational InferenceInternational Conference on Machine Learning (ICML), 2018
Alexander K. Buchholz
F. Wenzel
Stephan Mandt
BDL
210
63
0
04 Jul 2018
Anomaly Detection for Skin Disease Images Using Variational Autoencoder
Anomaly Detection for Skin Disease Images Using Variational Autoencoder
Yuchen Lu
Peng Xu
DRL
181
77
0
03 Jul 2018
Tensor Monte Carlo: particle methods for the GPU era
Tensor Monte Carlo: particle methods for the GPU era
Laurence Aitchison
BDLDRL
239
14
0
22 Jun 2018
Accurate and Diverse Sampling of Sequences based on a "Best of Many"
  Sample Objective
Accurate and Diverse Sampling of Sequences based on a "Best of Many" Sample Objective
Apratim Bhattacharyya
Bernt Schiele
Mario Fritz
191
124
0
20 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
139
50
0
14 Jun 2018
Deep State Space Models for Unconditional Word Generation
Deep State Space Models for Unconditional Word Generation
Florian Schmidt
Thomas Hofmann
146
16
0
12 Jun 2018
Deep Variational Reinforcement Learning for POMDPs
Deep Variational Reinforcement Learning for POMDPs
Maximilian Igl
L. Zintgraf
T. Le
Frank Wood
Shimon Whiteson
BDLOffRL
320
284
0
06 Jun 2018
Variational Autoencoder with Arbitrary Conditioning
Variational Autoencoder with Arbitrary Conditioning
Oleg Ivanov
Michael Figurnov
Dmitry Vetrov
BDLDRL
286
161
0
06 Jun 2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Adam R. Kosiorek
Hyunjik Kim
Ingmar Posner
Yee Whye Teh
BDL
375
267
0
05 Jun 2018
Hamiltonian Variational Auto-Encoder
Hamiltonian Variational Auto-Encoder
M. Volkovs
Arnaud Doucet
Dino Sejdinovic
BDLDRL
178
101
0
29 May 2018
Semi-Implicit Variational Inference
Semi-Implicit Variational Inference
Mingzhang Yin
Mingyuan Zhou
BDL
237
143
0
28 May 2018
Flexible and accurate inference and learning for deep generative models
Flexible and accurate inference and learning for deep generative models
Eszter Vértes
M. Sahani
SyDaBDL
92
46
0
28 May 2018
Discrete flow posteriors for variational inference in discrete dynamical
  systems
Discrete flow posteriors for variational inference in discrete dynamical systems
Laurence Aitchison
Vincent Adam
Srinivas C. Turaga
BDLDRL
154
4
0
28 May 2018
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow
Revisiting Reweighted Wake-Sleep for Models with Stochastic Control Flow
T. Le
Adam R. Kosiorek
N. Siddharth
Yee Whye Teh
Frank Wood
BDL
207
23
0
26 May 2018
Ergodic Inference: Accelerate Convergence by Optimisation
Ergodic Inference: Accelerate Convergence by Optimisation
Yichuan Zhang
José Miguel Hernández-Lobato
BDL
241
9
0
25 May 2018
Performing Co-Membership Attacks Against Deep Generative Models
Performing Co-Membership Attacks Against Deep Generative Models
Kin Sum Liu
Chaowei Xiao
Yue Liu
Zhi-Xuan Liu
AAMLMIACV
263
63
0
24 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
217
11
0
23 May 2018
Amortized Inference Regularization
Amortized Inference Regularization
Rui Shu
Hung Bui
Shengjia Zhao
Mykel J. Kochenderfer
Stefano Ermon
DRL
163
86
0
23 May 2018
Information Constraints on Auto-Encoding Variational Bayes
Information Constraints on Auto-Encoding Variational Bayes
Romain Lopez
Jeffrey Regier
Sai Li
N. Yosef
BDL
356
142
0
22 May 2018
Implicit Reparameterization Gradients
Implicit Reparameterization Gradients
Michael Figurnov
S. Mohamed
A. Mnih
BDL
553
247
0
22 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
171
11
0
20 May 2018
Sampling-Free Variational Inference of Bayesian Neural Networks by
  Variance Backpropagation
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation
Manuel Haussmann
Fred Hamprecht
M. Kandemir
BDL
146
6
0
19 May 2018
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
Arash Vahdat
Evgeny Andriyash
W. Macready
354
53
0
18 May 2018
GumBolt: Extending Gumbel trick to Boltzmann priors
GumBolt: Extending Gumbel trick to Boltzmann priors
Amir Khoshaman
Mohammad H. Amin
209
15
0
18 May 2018
Deep Directional Statistics: Pose Estimation with Uncertainty
  Quantification
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification
Sergey Prokudin
Peter V. Gehler
Sebastian Nowozin
UQCVOOD
149
98
0
09 May 2018
The Kanerva Machine: A Generative Distributed Memory
The Kanerva Machine: A Generative Distributed Memory
Yan Wu
Greg Wayne
Alex Graves
Timothy Lillicrap
VLMSyDa
243
40
0
05 Apr 2018
Variational Rejection Sampling
Variational Rejection Sampling
Aditya Grover
Ramki Gummadi
Miguel Lazaro-Gredilla
Dale Schuurmans
Stefano Ermon
BDL
189
35
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
144
13
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
367
423
0
03 Apr 2018
Dist-GAN: An Improved GAN using Distance Constraints
Dist-GAN: An Improved GAN using Distance Constraints
Ngoc-Trung Tran
Tuan-Anh Bui
Ngai-Man Cheung
DRLGAN
246
94
0
23 Mar 2018
Learning Latent Superstructures in Variational Autoencoders for Deep
  Multidimensional Clustering
Learning Latent Superstructures in Variational Autoencoders for Deep Multidimensional ClusteringInternational Conference on Learning Representations (ICLR), 2018
Xiaopeng Li
Zhourong Chen
Leonard K. M. Poon
Ningyu Zhang
BDLDRL
174
56
0
14 Mar 2018
Fast Decoding in Sequence Models using Discrete Latent Variables
Fast Decoding in Sequence Models using Discrete Latent Variables
Łukasz Kaiser
Aurko Roy
Ashish Vaswani
Niki Parmar
Samy Bengio
Jakob Uszkoreit
Noam M. Shazeer
530
246
0
09 Mar 2018
Structured Uncertainty Prediction Networks
Structured Uncertainty Prediction Networks
Garoe Dorta
Sara Vicente
Lourdes Agapito
Neill D. F. Campbell
Ivor J. A. Simpson
UQCV
202
69
0
20 Feb 2018
Differentially Private Generative Adversarial Network
Differentially Private Generative Adversarial Network
Liyang Xie
Kaixiang Lin
Shu Wang
Fei Wang
Jiayu Zhou
SyDa
227
556
0
19 Feb 2018
Degeneration in VAE: in the Light of Fisher Information Loss
Degeneration in VAE: in the Light of Fisher Information Loss
Huangjie Zheng
Jiangchao Yao
Ya Zhang
Ivor W. Tsang
DRL
143
17
0
19 Feb 2018
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Multimodal Generative Models for Scalable Weakly-Supervised Learning
Mike Wu
Noah D. Goodman
DRL
325
436
0
14 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping
  Transformations
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Arash Vahdat
W. Macready
Zhengbing Bian
Amir Khoshaman
Evgeny Andriyash
205
79
0
14 Feb 2018
Leveraging the Exact Likelihood of Deep Latent Variable Models
Leveraging the Exact Likelihood of Deep Latent Variable Models
Pierre-Alexandre Mattei
J. Frellsen
DRL
290
68
0
13 Feb 2018
Tighter Variational Bounds are Not Necessarily Better
Tighter Variational Bounds are Not Necessarily Better
Tom Rainforth
Adam R. Kosiorek
T. Le
Chris J. Maddison
Maximilian Igl
Frank Wood
Yee Whye Teh
DRL
428
205
0
13 Feb 2018
Augment and Reduce: Stochastic Inference for Large Categorical
  Distributions
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
Francisco J. R. Ruiz
Michalis K. Titsias
Adji Bousso Dieng
David M. Blei
BDL
250
22
0
12 Feb 2018
Semi-Amortized Variational Autoencoders
Semi-Amortized Variational Autoencoders
Yoon Kim
Sam Wiseman
Andrew C. Miller
David Sontag
Alexander M. Rush
BDLDRL
700
252
0
07 Feb 2018
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced
  Understanding of Data
Deep Learning of Nonnegativity-Constrained Autoencoders for Enhanced Understanding of Data
B. Ayinde
J. Zurada
252
59
0
31 Jan 2018
Improving Bi-directional Generation between Different Modalities with
  Variational Autoencoders
Improving Bi-directional Generation between Different Modalities with Variational Autoencoders
Masahiro Suzuki
Kotaro Nakayama
Y. Matsuo
DRL
93
9
0
26 Jan 2018
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