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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
Semi-Amortized Variational Autoencoders
Semi-Amortized Variational Autoencoders
Yoon Kim
Sam Wiseman
Andrew C. Miller
David Sontag
Alexander M. Rush
BDLDRL
162
243
0
07 Feb 2018
Improving Variational Encoder-Decoders in Dialogue Generation
Improving Variational Encoder-Decoders in Dialogue Generation
Xiaoyu Shen
Hui Su
Shuzi Niu
Vera Demberg
DRL
92
99
0
06 Feb 2018
Hierarchical Adversarially Learned Inference
Hierarchical Adversarially Learned Inference
Mohamed Ishmael Belghazi
Sai Rajeswar
Olivier Mastropietro
Negar Rostamzadeh
Jovana Mitrović
Aaron Courville
GANBDL
83
29
0
04 Feb 2018
Discrete Autoencoders for Sequence Models
Discrete Autoencoders for Sequence Models
Lukasz Kaiser
Samy Bengio
BDL
92
50
0
29 Jan 2018
Semi-supervised FusedGAN for Conditional Image Generation
Semi-supervised FusedGAN for Conditional Image Generation
Navaneeth Bodla
G. Hua
Rama Chellappa
88
57
0
17 Jan 2018
Low-Shot Learning from Imaginary Data
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
132
677
0
16 Jan 2018
Variational Recurrent Neural Machine Translation
Variational Recurrent Neural Machine Translation
Jinsong Su
Shan Wu
Deyi Xiong
Yaojie Lu
Xianpei Han
Biao Zhang
DRL
75
83
0
16 Jan 2018
Instance Map based Image Synthesis with a Denoising Generative
  Adversarial Network
Instance Map based Image Synthesis with a Denoising Generative Adversarial Network
Ziqiang Zheng
Chao Wang
Zhibin Yu
Haiyong Zheng
Bing Zheng
GAN
32
11
0
10 Jan 2018
Crossing Generative Adversarial Networks for Cross-View Person
  Re-identification
Crossing Generative Adversarial Networks for Cross-View Person Re-identification
Chengyuan Zhang
Lin Wu
Yang Wang
GAN
59
31
0
04 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A
  Survey
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Ajmal Mian
AAML
142
1,872
0
02 Jan 2018
Deformable GANs for Pose-based Human Image Generation
Deformable GANs for Pose-based Human Image Generation
Aliaksandr Siarohin
E. Sangineto
Stéphane Lathuilière
N. Sebe
3DHGAN
116
453
0
29 Dec 2017
PixelSNAIL: An Improved Autoregressive Generative Model
PixelSNAIL: An Improved Autoregressive Generative Model
Xi Chen
Nikhil Mishra
Mostafa Rohaninejad
Pieter Abbeel
DRLDiffMBDLGAN
80
276
0
28 Dec 2017
Improving Exploration in Evolution Strategies for Deep Reinforcement
  Learning via a Population of Novelty-Seeking Agents
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti
Vashisht Madhavan
F. Such
Joel Lehman
Kenneth O. Stanley
Jeff Clune
94
349
0
18 Dec 2017
Logo Synthesis and Manipulation with Clustered Generative Adversarial
  Networks
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks
Alexander Sage
E. Agustsson
Radu Timofte
Luc Van Gool
GAN
74
62
0
12 Dec 2017
Noisy Natural Gradient as Variational Inference
Noisy Natural Gradient as Variational Inference
Guodong Zhang
Shengyang Sun
David Duvenaud
Roger C. Grosse
ODL
84
213
0
06 Dec 2017
Grounding Referring Expressions in Images by Variational Context
Grounding Referring Expressions in Images by Variational Context
Hanwang Zhang
Yulei Niu
Shih-Fu Chang
BDLObjD
78
223
0
05 Dec 2017
Learning a Generative Model for Validity in Complex Discrete Structures
Learning a Generative Model for Validity in Complex Discrete Structures
David Janz
J. Westhuizen
Brooks Paige
Matt J. Kusner
José Miguel Hernández-Lobato
125
21
0
05 Dec 2017
A Novel Brain Decoding Method: a Correlation Network Framework for
  Revealing Brain Connections
A Novel Brain Decoding Method: a Correlation Network Framework for Revealing Brain Connections
Siyu Yu
Nanning Zheng
Yongqiang Ma
Hao Wu
Badong Chen
20
12
0
01 Dec 2017
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
193
3,957
0
30 Nov 2017
A Neural Stochastic Volatility Model
A Neural Stochastic Volatility Model
Rui Luo
Weinan Zhang
Xiaojun Xu
Jun Wang
BDL
55
60
0
30 Nov 2017
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
132
1,014
0
28 Nov 2017
StarGAN: Unified Generative Adversarial Networks for Multi-Domain
  Image-to-Image Translation
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Yunjey Choi
Min-Je Choi
M. Kim
Jung-Woo Ha
Sunghun Kim
Jaegul Choo
GAN
169
3,559
0
24 Nov 2017
Wasserstein Introspective Neural Networks
Wasserstein Introspective Neural Networks
Kwonjoon Lee
Weijian Xu
Fan Fan
Zhuowen Tu
99
57
0
24 Nov 2017
Learning Compositional Visual Concepts with Mutual Consistency
Learning Compositional Visual Concepts with Mutual Consistency
Yunye Gong
Srikrishna Karanam
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
P. Doerschuk
CoGeGAN
78
10
0
16 Nov 2017
Two Birds with One Stone: Transforming and Generating Facial Images with
  Iterative GAN
Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN
Dan Ma
B. Liu
Zhao Kang
Jiayu Zhou
Jianke Zhu
Zenglin Xu
CVBMGAN
33
6
0
16 Nov 2017
Global versus Localized Generative Adversarial Nets
Global versus Localized Generative Adversarial Nets
Guo-Jun Qi
Liheng Zhang
Hao Hu
Marzieh Edraki
Jingdong Wang
Xian-Sheng Hua
GAN
92
82
0
16 Nov 2017
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling
Gautam Pai
Ronen Talmon
A. Bronstein
Ron Kimmel
86
42
0
16 Nov 2017
Zero-Shot Learning via Class-Conditioned Deep Generative Models
Zero-Shot Learning via Class-Conditioned Deep Generative Models
Wenlin Wang
Yunchen Pu
Vinay Kumar Verma
Kai Fan
Yizhe Zhang
Changyou Chen
Piyush Rai
Lawrence Carin
BDLVLM
122
147
0
15 Nov 2017
Latent Constraints: Learning to Generate Conditionally from
  Unconditional Generative Models
Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Jesse Engel
Matthew Hoffman
Adam Roberts
DRL
97
140
0
15 Nov 2017
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and
  Complements
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements
Francisco J. R. Ruiz
Susan Athey
David M. Blei
398
85
0
09 Nov 2017
Semantic Interpolation in Implicit Models
Semantic Interpolation in Implicit Models
Yannic Kilcher
Aurelien Lucchi
Thomas Hofmann
93
17
0
31 Oct 2017
On the challenges of learning with inference networks on sparse,
  high-dimensional data
On the challenges of learning with inference networks on sparse, high-dimensional data
Rahul G. Krishnan
Dawen Liang
Matthew Hoffman
CMLBDL
87
85
0
17 Oct 2017
Unsupervised Real-Time Control through Variational Empowerment
Unsupervised Real-Time Control through Variational Empowerment
Maximilian Karl
Maximilian Soelch
Philip Becker-Ehmck
Djalel Benbouzid
Patrick van der Smagt
Justin Bayer
75
55
0
13 Oct 2017
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal
  Distributions using Simulated Tempering Langevin Monte Carlo
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
Rong Ge
Holden Lee
Andrej Risteski
87
53
0
07 Oct 2017
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks
Xing Di
Vishwanath A. Sindagi
Vishal M. Patel
CVBMGAN
111
46
0
03 Oct 2017
Learning hard quantum distributions with variational autoencoders
Learning hard quantum distributions with variational autoencoders
Andrea Rocchetto
Edward Grant
Sergii Strelchuk
Giuseppe Carleo
Simone Severini
BDLDRL
98
78
0
02 Oct 2017
On Nesting Monte Carlo Estimators
On Nesting Monte Carlo Estimators
Tom Rainforth
R. Cornish
Hongseok Yang
Andrew Warrington
Frank Wood
151
132
0
18 Sep 2017
Constrained Bayesian Optimization for Automatic Chemical Design
Constrained Bayesian Optimization for Automatic Chemical Design
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
BDL
180
76
0
16 Sep 2017
A Deep Generative Framework for Paraphrase Generation
A Deep Generative Framework for Paraphrase Generation
Ankush Gupta
Arvind Agarwal
Prawaan Singh
Piyush Rai
67
257
0
15 Sep 2017
Variational Autoencoders for Deforming 3D Mesh Models
Variational Autoencoders for Deforming 3D Mesh Models
Qingyang Tan
Lin Gao
Yu-kun Lai
Shi-hong Xia
AI4CE
85
201
0
13 Sep 2017
ExprGAN: Facial Expression Editing with Controllable Expression
  Intensity
ExprGAN: Facial Expression Editing with Controllable Expression Intensity
Hui Ding
K. Sricharan
Rama Chellappa
GANCVBM
88
199
0
12 Sep 2017
Unsupervised Generative Modeling Using Matrix Product States
Unsupervised Generative Modeling Using Matrix Product States
Zhaoyu Han
Jun Wang
H. Fan
Lei Wang
Pan Zhang
140
273
0
06 Sep 2017
Geometric Enclosing Networks
Geometric Enclosing Networks
Trung Le
H. Vu
T. Nguyen
Dinh Q. Phung
42
9
0
16 Aug 2017
Recent Trends in Deep Learning Based Natural Language Processing
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young
Devamanyu Hazarika
Soujanya Poria
Min Zhang
93
2,844
0
09 Aug 2017
Optimizing the Latent Space of Generative Networks
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski
Armand Joulin
David Lopez-Paz
Arthur Szlam
GAN
106
417
0
18 Jul 2017
Discriminative Transformation Learning for Fuzzy Sparse Subspace
  Clustering
Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering
Zaidao Wen
B. Hou
Qian Wu
L. Jiao
62
11
0
18 Jul 2017
MoCoGAN: Decomposing Motion and Content for Video Generation
MoCoGAN: Decomposing Motion and Content for Video Generation
Sergey Tulyakov
Ming-Yuan Liu
Xiaodong Yang
Jan Kautz
GAN
154
1,150
0
17 Jul 2017
Learning Generative Models with Sinkhorn Divergences
Learning Generative Models with Sinkhorn Divergences
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
205
633
0
01 Jun 2017
Lifelong Generative Modeling
Lifelong Generative Modeling
Jason Ramapuram
Magda Gregorova
Alexandros Kalousis
BDLCLL
132
119
0
27 May 2017
Proximity Variational Inference
Proximity Variational Inference
Jaan Altosaar
Rajesh Ranganath
David M. Blei
BDL
43
22
0
24 May 2017
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