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Decision-Making with Auto-Encoding Variational Bayes
v1v2v3 (latest)

Decision-Making with Auto-Encoding Variational Bayes

17 February 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
    BDL
ArXiv (abs)PDFHTML

Papers citing "Decision-Making with Auto-Encoding Variational Bayes"

50 / 3,707 papers shown
Title
Deep $k$-Means: Jointly clustering with $k$-Means and learning
  representations
Deep kkk-Means: Jointly clustering with kkk-Means and learning representations
Maziar Moradi Fard
Thibaut Thonet
Éric Gaussier
84
239
0
26 Jun 2018
Deep Generative Models with Learnable Knowledge Constraints
Deep Generative Models with Learnable Knowledge Constraints
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Xiaodan Liang
Lianhui Qin
Haoye Dong
Eric Xing
BDLAI4CE
107
76
0
26 Jun 2018
Disentangled VAE Representations for Multi-Aspect and Missing Data
Disentangled VAE Representations for Multi-Aspect and Missing Data
Samuel K. Ainsworth
N. Foti
E. Fox
DRL
95
15
0
24 Jun 2018
xGEMs: Generating Examplars to Explain Black-Box Models
xGEMs: Generating Examplars to Explain Black-Box Models
Shalmali Joshi
Oluwasanmi Koyejo
Been Kim
Joydeep Ghosh
MLAU
70
40
0
22 Jun 2018
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation
Hareesh Bahuleyan
Lili Mou
Hao Zhou
Olga Vechtomova
BDLDRL
43
6
0
22 Jun 2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised
  Semantic Parsing
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
Pengcheng Yin
Chunting Zhou
Junxian He
Graham Neubig
GNN
78
102
0
20 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
79
116
0
20 Jun 2018
Uncertainty in Multitask Transfer Learning
Uncertainty in Multitask Transfer Learning
Alexandre Lacoste
Boris N. Oreshkin
Wonchang Chung
Thomas Boquet
Negar Rostamzadeh
David M. Krueger
BDLUQCVSSL
105
21
0
20 Jun 2018
Unsupervised Word Segmentation from Speech with Attention
Unsupervised Word Segmentation from Speech with Attention
Pierre Godard
Marcely Zanon Boito
Lucas Ondel
Alexandre Berard
François Yvon
Aline Villavicencio
Laurent Besacier
54
27
0
18 Jun 2018
Latent Convolutional Models
Latent Convolutional Models
ShahRukh Athar
Evgeny Burnaev
Victor Lempitsky
DRLBDLSSL
92
19
0
16 Jun 2018
Controllable Semantic Image Inpainting
Controllable Semantic Image Inpainting
Jin Xu
Yee Whye Teh
51
7
0
15 Jun 2018
Autoregressive Quantile Networks for Generative Modeling
Autoregressive Quantile Networks for Generative Modeling
Georg Ostrovski
Will Dabney
Rémi Munos
DRL
120
87
0
14 Jun 2018
Only Bayes should learn a manifold (on the estimation of differential
  geometric structure from data)
Only Bayes should learn a manifold (on the estimation of differential geometric structure from data)
Søren Hauberg
69
32
0
13 Jun 2018
Explaining and Generalizing Back-Translation through Wake-Sleep
Explaining and Generalizing Back-Translation through Wake-Sleep
Ryan Cotterell
Julia Kreutzer
165
39
0
12 Jun 2018
Stochastic seismic waveform inversion using generative adversarial
  networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GANAI4CE
132
208
0
10 Jun 2018
Implicit Policy for Reinforcement Learning
Implicit Policy for Reinforcement Learning
Yunhao Tang
Shipra Agrawal
57
14
0
10 Jun 2018
Randomized Prior Functions for Deep Reinforcement Learning
Randomized Prior Functions for Deep Reinforcement Learning
Ian Osband
John Aslanides
Albin Cassirer
UQCVBDL
87
380
0
08 Jun 2018
Spreading vectors for similarity search
Spreading vectors for similarity search
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
MQ
138
121
0
08 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
79
262
0
06 Jun 2018
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
Vincent Fortuin
Matthias Huser
Francesco Locatello
Heiko Strathmann
Gunnar Rätsch
BDLAI4TS
56
140
0
06 Jun 2018
Probabilistic Deep Learning using Random Sum-Product Networks
Probabilistic Deep Learning using Random Sum-Product Networks
Robert Peharz
Antonio Vergari
Karl Stelzner
Alejandro Molina
Martin Trapp
Kristian Kersting
Zoubin Ghahramani
UQCVBDLTPM
46
29
0
05 Jun 2018
The Effect of Planning Shape on Dyna-style Planning in High-dimensional
  State Spaces
The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces
G. Z. Holland
Erik Talvitie
Michael Bowling
AI4CE
69
43
0
05 Jun 2018
Generative Modeling by Inclusive Neural Random Fields with Applications
  in Image Generation and Anomaly Detection
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection
Yunfu Song
Zhijian Ou
DiffM
107
30
0
01 Jun 2018
Resisting Adversarial Attacks using Gaussian Mixture Variational
  Autoencoders
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders
Partha Ghosh
Arpan Losalka
Michael J. Black
AAML
67
78
0
31 May 2018
Forward Amortized Inference for Likelihood-Free Variational
  Marginalization
Forward Amortized Inference for Likelihood-Free Variational Marginalization
L. Ambrogioni
Umut Güçlü
Julia Berezutskaya
Eva W. P. van den Borne
Yağmur Güçlütürk
Max Hinne
E. Maris
Marcel van Gerven
BDLVLM
67
17
0
29 May 2018
Semi-Implicit Variational Inference
Semi-Implicit Variational Inference
Mingzhang Yin
Mingyuan Zhou
BDL
89
128
0
28 May 2018
Differentiable Particle Filters: End-to-End Learning with Algorithmic
  Priors
Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors
Rico Jonschkowski
Divyam Rastogi
Oliver Brock
70
135
0
28 May 2018
Deep Generative Models for Distribution-Preserving Lossy Compression
Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen
E. Agustsson
Mario Lucic
53
133
0
28 May 2018
Adaptive Network Sparsification with Dependent Variational
  Beta-Bernoulli Dropout
Adaptive Network Sparsification with Dependent Variational Beta-Bernoulli Dropout
Juho Lee
Saehoon Kim
Jaehong Yoon
Haebeom Lee
Eunho Yang
Sung Ju Hwang
55
12
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
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by
  Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Neal Jean
Sang Michael Xie
Stefano Ermon
BDLSSL
75
76
0
26 May 2018
Maximizing acquisition functions for Bayesian optimization
Maximizing acquisition functions for Bayesian optimization
James T. Wilson
Frank Hutter
M. Deisenroth
153
250
0
25 May 2018
Cramer-Wold AutoEncoder
Cramer-Wold AutoEncoder
Szymon Knop
Jacek Tabor
Przemyslaw Spurek
Igor T. Podolak
Marcin Mazur
Stanislaw Jastrzebski
GAN
81
34
0
23 May 2018
Probabilistic Riemannian submanifold learning with wrapped Gaussian
  process latent variable models
Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
Anton Mallasto
Søren Hauberg
Aasa Feragen
52
11
0
23 May 2018
Generalisation of structural knowledge in the hippocampal-entorhinal
  system
Generalisation of structural knowledge in the hippocampal-entorhinal system
James C. R. Whittington
Timothy H. Muller
Shirley Mark
Caswell Barry
Timothy Edward John Behrens
100
53
0
23 May 2018
Deep Energy Estimator Networks
Deep Energy Estimator Networks
Saeed Saremi
Arash Mehrjou
Bernhard Schölkopf
Aapo Hyvarinen
64
75
0
21 May 2018
Multiple Causal Inference with Latent Confounding
Multiple Causal Inference with Latent Confounding
Rajesh Ranganath
A. Perotte
CML
59
50
0
21 May 2018
Learning a face space for experiments on human identity
Learning a face space for experiments on human identity
Jordan W. Suchow
Joshua C. Peterson
Thomas Griffiths
CVBM
20
8
0
19 May 2018
Nonparametric Bayesian Deep Networks with Local Competition
Nonparametric Bayesian Deep Networks with Local Competition
Konstantinos P. Panousis
S. Chatzis
Sergios Theodoridis
BDL
102
32
0
19 May 2018
XOGAN: One-to-Many Unsupervised Image-to-Image Translation
XOGAN: One-to-Many Unsupervised Image-to-Image Translation
Yongqi Zhang
ViTGAN
41
9
0
18 May 2018
Generative networks as inverse problems with Scattering transforms
Generative networks as inverse problems with Scattering transforms
Tomás Angles
S. Mallat
GAN
67
31
0
17 May 2018
Spatial Uncertainty Sampling for End-to-End Control
Spatial Uncertainty Sampling for End-to-End Control
Alexander Amini
A. Soleimany
S. Karaman
Daniela Rus
UQCVBDL
58
30
0
13 May 2018
Tile2Vec: Unsupervised representation learning for spatially distributed
  data
Tile2Vec: Unsupervised representation learning for spatially distributed data
Neal Jean
Sherrie Wang
Anshul Samar
G. Azzari
David B. Lobell
Stefano Ermon
SSL
90
200
0
08 May 2018
Learning to Sketch with Shortcut Cycle Consistency
Learning to Sketch with Shortcut Cycle Consistency
Jifei Song
Kaiyue Pang
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
157
120
0
01 May 2018
Disentangling Factors of Variation with Cycle-Consistent Variational
  Auto-Encoders
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders
A. Jha
Saket Anand
Maneesh Kumar Singh
V. Veeravasarapu
CoGeDRL
66
128
0
27 Apr 2018
Adversarial Training of Variational Auto-encoders for High Fidelity
  Image Generation
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation
Salman H. Khan
Munawar Hayat
Nick Barnes
GANDRL
58
21
0
27 Apr 2018
Generative Temporal Models with Spatial Memory for Partially Observed
  Environments
Generative Temporal Models with Spatial Memory for Partially Observed Environments
Marco Fraccaro
Danilo Jimenez Rezende
Yori Zwols
Alexander Pritzel
S. M. Ali Eslami
Fabio Viola
112
28
0
25 Apr 2018
Style Transfer Through Back-Translation
Style Transfer Through Back-Translation
Shrimai Prabhumoye
Yulia Tsvetkov
Ruslan Salakhutdinov
A. Black
136
386
0
24 Apr 2018
Mask-aware Photorealistic Face Attribute Manipulation
Mask-aware Photorealistic Face Attribute Manipulation
Ruoqi Sun
Chen Huang
Jianping Shi
Lizhuang Ma
GANCVBM
59
27
0
24 Apr 2018
Zero-Shot Visual Imitation
Zero-Shot Visual Imitation
Deepak Pathak
Parsa Mahmoudieh
Guanghao Luo
Pulkit Agrawal
Dian Chen
Yide Shentu
Evan Shelhamer
Jitendra Malik
Alexei A. Efros
Trevor Darrell
LM&Ro
121
301
0
23 Apr 2018
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