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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 / 3,727 papers shown
Title
(Self-Attentive) Autoencoder-based Universal Language Representation for
  Machine Translation
(Self-Attentive) Autoencoder-based Universal Language Representation for Machine Translation
Carlos Escolano
Marta R. Costa-jussá
José A. R. Fonollosa
SSL
43
7
0
15 Oct 2018
Point Cloud GAN
Point Cloud GAN
Chun-Liang Li
Manzil Zaheer
Yang Zhang
Barnabás Póczós
Ruslan Salakhutdinov
3DPC
86
212
0
13 Oct 2018
A Tale of Three Probabilistic Families: Discriminative, Descriptive and
  Generative Models
A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models
Ying Nian Wu
Ruiqi Gao
Tian Han
Song-Chun Zhu
TPM
44
18
0
09 Oct 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
George Tucker
Dieterich Lawson
S. Gu
Chris J. Maddison
BDL
89
110
0
09 Oct 2018
Stein Neural Sampler
Stein Neural Sampler
Tianyang Hu
Zixiang Chen
Hanxi Sun
Jincheng Bai
Mao Ye
Guang Cheng
SyDaGAN
77
36
0
08 Oct 2018
Deep Diffeomorphic Normalizing Flows
Deep Diffeomorphic Normalizing Flows
Hadi Salman
Payman Yadollahpour
Tom Fletcher
N. Batmanghelich
78
27
0
08 Oct 2018
Rethinking Recurrent Latent Variable Model for Music Composition
Rethinking Recurrent Latent Variable Model for Music Composition
E. Koh
Shlomo Dubnov
Dustin Wright
BDLDRL
77
18
0
07 Oct 2018
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional
  Neural Networks
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
Fabio Pardo
Vitaly Levdik
Petar Kormushev
50
4
0
06 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon
Adversarial Examples - A Complete Characterisation of the Phenomenon
A. Serban
E. Poll
Joost Visser
SILMAAML
102
49
0
02 Oct 2018
Taming VAEs
Taming VAEs
Danilo Jimenez Rezende
Fabio Viola
DRLCML
70
186
0
01 Oct 2018
Improved Gradient-Based Optimization Over Discrete Distributions
Improved Gradient-Based Optimization Over Discrete Distributions
Evgeny Andriyash
Arash Vahdat
W. Macready
70
9
0
29 Sep 2018
Open-Ended Content-Style Recombination Via Leakage Filtering
Open-Ended Content-Style Recombination Via Leakage Filtering
Karl Ridgeway
Michael C. Mozer
DRLVLM
24
2
0
28 Sep 2018
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial
  VAE
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
Chao Ma
Sebastian Tschiatschek
Konstantina Palla
José Miguel Hernández-Lobato
Sebastian Nowozin
Cheng Zhang
96
129
0
28 Sep 2018
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation
  Learning
Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning
Daniel Coelho De Castro
Jeremy Tan
Bernhard Kainz
E. Konukoglu
Ben Glocker
DRL
73
71
0
27 Sep 2018
An Introduction to Probabilistic Programming
An Introduction to Probabilistic Programming
Jan-Willem van de Meent
Brooks Paige
Hongseok Yang
Frank Wood
GP
88
200
0
27 Sep 2018
Variance reduction properties of the reparameterization trick
Variance reduction properties of the reparameterization trick
Ming Xu
M. Quiroz
Robert Kohn
Scott A. Sisson
AAML
103
69
0
27 Sep 2018
Monge-Ampère Flow for Generative Modeling
Monge-Ampère Flow for Generative Modeling
Linfeng Zhang
E. Weinan
Lei Wang
DRL
92
63
0
26 Sep 2018
Explainable PCGML via Game Design Patterns
Explainable PCGML via Game Design Patterns
Matthew J. Guzdial
Josh Reno
Jonathan Chen
Gillian Smith
Mark O. Riedl
80
33
0
25 Sep 2018
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State
  Representation Learning
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning
Antonin Raffin
Ashley Hill
Kalifou René Traoré
Timothée Lesort
Natalia Díaz Rodríguez
David Filliat
OffRL
95
35
0
25 Sep 2018
Variational Collaborative Learning for User Probabilistic Representation
Variational Collaborative Learning for User Probabilistic Representation
Kenan Cui
Xu Chen
Jiangchao Yao
Ya Zhang
48
11
0
22 Sep 2018
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes
Peng-Shuai Wang
Chun-Yu Sun
Yang Liu
Xin Tong
3DPC3DVMedIm
79
121
0
21 Sep 2018
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with
  Applications to Style Transfer
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer
Gino Brunner
Andres Konrad
Yuyi Wang
Roger Wattenhofer
69
133
0
20 Sep 2018
Symbolic Music Genre Transfer with CycleGAN
Symbolic Music Genre Transfer with CycleGAN
Gino Brunner
Yuyi Wang
Roger Wattenhofer
Sumu Zhao
GAN
97
74
0
20 Sep 2018
Predictive Collective Variable Discovery with Deep Bayesian Models
Predictive Collective Variable Discovery with Deep Bayesian Models
M. Schöberl
N. Zabaras
P. Koutsourelakis
66
34
0
18 Sep 2018
Learning Robust Manipulation Skills with Guided Policy Search via
  Generative Motor Reflexes
Learning Robust Manipulation Skills with Guided Policy Search via Generative Motor Reflexes
Philipp Ennen
Pia Bresenitz
R. Vossen
F. Hees
31
8
0
15 Sep 2018
Variational Autoencoder with Implicit Optimal Priors
Variational Autoencoder with Implicit Optimal Priors
Hiroshi Takahashi
Tomoharu Iwata
Yuki Yamanaka
Masanori Yamada
Satoshi Yagi
DRL
107
65
0
14 Sep 2018
Unsupervised Abstractive Sentence Summarization using Length Controlled
  Variational Autoencoder
Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder
Raphael Schumann
DRL
47
21
0
14 Sep 2018
A Less Biased Evaluation of Out-of-distribution Sample Detectors
A Less Biased Evaluation of Out-of-distribution Sample Detectors
Alireza Shafaei
Mark Schmidt
James J. Little
OODD
122
58
0
13 Sep 2018
Unsupervised Representation Learning of Speech for Dialect
  Identification
Unsupervised Representation Learning of Speech for Dialect Identification
Suwon Shon
Wei-Ning Hsu
James R. Glass
42
13
0
12 Sep 2018
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
Sudipto Mukherjee
Himanshu Asnani
Eugene Lin
Sreeram Kannan
GAN
77
340
0
10 Sep 2018
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
Hanqing Wang
Jiaolong Yang
Wei Liang
Xin Tong
3DV
32
25
0
10 Sep 2018
Probabilistic Binary Neural Networks
Probabilistic Binary Neural Networks
Jorn W. T. Peters
Max Welling
BDLUQCVMQ
80
52
0
10 Sep 2018
Stellar Cluster Detection using GMM with Deep Variational Autoencoder
Stellar Cluster Detection using GMM with Deep Variational Autoencoder
Arnab Karmakar
Deepak Mishra
A. Tej
DRL
23
6
0
05 Sep 2018
Bounded Rational Decision-Making with Adaptive Neural Network Priors
Bounded Rational Decision-Making with Adaptive Neural Network Priors
Heinke Hihn
Sebastian Gottwald
Daniel A. Braun
75
10
0
04 Sep 2018
SOLAR: Deep Structured Representations for Model-Based Reinforcement
  Learning
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning
Marvin Zhang
Sharad Vikram
Laura M. Smith
Pieter Abbeel
Matthew J. Johnson
Sergey Levine
OffRL
90
42
0
28 Aug 2018
Importance Weighting and Variational Inference
Importance Weighting and Variational Inference
Justin Domke
Daniel Sheldon
102
108
0
27 Aug 2018
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection
  with GAN
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
Swee Kiat Lim
Yi Loo
Ngoc-Trung Tran
Ngai-Man Cheung
Gemma Roig
Yuval Elovici
46
117
0
23 Aug 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent
  Homologies
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Alessandro Achille
Tom Eccles
Loic Matthey
Christopher P. Burgess
Nicholas Watters
Alexander Lerchner
I. Higgins
BDL
79
119
0
20 Aug 2018
Question Generation from SQL Queries Improves Neural Semantic Parsing
Question Generation from SQL Queries Improves Neural Semantic Parsing
Daya Guo
Yibo Sun
Duyu Tang
Nan Duan
Jian Yin
Hong Chi
James Cao
Peng Chen
M. Zhou
77
55
0
20 Aug 2018
Universal Perceptual Grouping
Universal Perceptual Grouping
Ke Li
Kaiyue Pang
Jifei Song
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
Honggang Zhang
126
49
0
07 Aug 2018
Deep Generative Modeling for Scene Synthesis via Hybrid Representations
Deep Generative Modeling for Scene Synthesis via Hybrid Representations
Zaiwei Zhang
Zhenpei Yang
Chongyang Ma
Linjie Luo
Alexander G. Huth
E. Vouga
Qi-Xing Huang
GAN3DPC
74
129
0
06 Aug 2018
Unbiased Implicit Variational Inference
Unbiased Implicit Variational Inference
Michalis K. Titsias
Francisco J. R. Ruiz
BDL
126
57
0
06 Aug 2018
Variational Information Bottleneck on Vector Quantized Autoencoders
Variational Information Bottleneck on Vector Quantized Autoencoders
Hanwei Wu
M. Flierl
DRL
29
5
0
02 Aug 2018
Deep Appearance Models for Face Rendering
Deep Appearance Models for Face Rendering
Stephen Lombardi
Jason M. Saragih
Tomas Simon
Yaser Sheikh
CVBM3DH
79
282
0
01 Aug 2018
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable
  Speech Synthesis
Deep Encoder-Decoder Models for Unsupervised Learning of Controllable Speech Synthesis
G. Henter
Jaime Lorenzo-Trueba
Xin Wang
Junichi Yamagishi
DRLSSL
82
61
0
30 Jul 2018
Persuasive Faces: Generating Faces in Advertisements
Persuasive Faces: Generating Faces in Advertisements
Christopher Thomas
Adriana Kovashka
CVBMGAN
41
10
0
25 Jul 2018
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a
  Structured Variational Autoencoder
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
Caio Corro
Ivan Titov
BDL
56
56
0
25 Jul 2018
"Bilingual Expert" Can Find Translation Errors
"Bilingual Expert" Can Find Translation Errors
Kai Fan
Jiayi Wang
Yue Liu
Fengming Zhou
Boxing Chen
Luo Si
MoE
55
57
0
25 Jul 2018
The Variational Homoencoder: Learning to learn high capacity generative
  models from few examples
The Variational Homoencoder: Learning to learn high capacity generative models from few examples
Luke B. Hewitt
Maxwell Nye
Andreea Gane
Tommi Jaakkola
J. Tenenbaum
BDLDRLGAN
88
68
0
24 Jul 2018
Understanding and representing the semantics of large structured
  documents
Understanding and representing the semantics of large structured documents
M. Rahman
Timothy W. Finin
27
5
0
24 Jul 2018
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