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Auto-Encoding Variational Bayes

Auto-Encoding Variational Bayes

20 December 2013
Diederik P. Kingma
Max Welling
    BDL
ArXivPDFHTML

Papers citing "Auto-Encoding Variational Bayes"

50 / 3,460 papers shown
Title
Learning a Probabilistic Model for Diffeomorphic Registration
Learning a Probabilistic Model for Diffeomorphic Registration
Julian Krebs
H. Delingette
B. Mailhé
N. Ayache
Tommaso Mansi
DiffM
MedIm
28
193
0
18 Dec 2018
Video Trajectory Classification and Anomaly Detection Using Hybrid
  CNN-VAE
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE
Santhosh Kelathodi Kumaran
D. P. Dogra
P. Roy
Adway Mitra
29
16
0
18 Dec 2018
Mining Interpretable AOG Representations from Convolutional Networks via
  Active Question Answering
Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering
Quanshi Zhang
Ruiming Cao
Ying Nian Wu
Song-Chun Zhu
19
14
0
18 Dec 2018
Towards a Robust Parameterization for Conditioning Facies Models Using
  Deep Variational Autoencoders and Ensemble Smoother
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother
S. A. Canchumuni
A. Emerick
M. Pacheco
OOD
AI4CE
30
109
0
17 Dec 2018
Transfer Learning in Brain-Computer Interfaces with Adversarial
  Variational Autoencoders
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders
Ozan Özdenizci
Ye Wang
T. Koike-Akino
Deniz Erdogmus
OOD
DRL
18
59
0
17 Dec 2018
Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks
Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks
Xiang Li
Shihao Ji
AAML
27
26
0
17 Dec 2018
Context-encoding Variational Autoencoder for Unsupervised Anomaly
  Detection
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection
David Zimmerer
Simon A. A. Kohl
Jens Petersen
Fabian Isensee
Klaus H. Maier-Hein
DRL
19
128
0
14 Dec 2018
Neural Processes Mixed-Effect Models for Deep Normative Modeling of
  Clinical Neuroimaging Data
Neural Processes Mixed-Effect Models for Deep Normative Modeling of Clinical Neuroimaging Data
S. M. Kia
A. Marquand
27
25
0
12 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
312
10,391
0
12 Dec 2018
Physics-informed deep generative models
Physics-informed deep generative models
Yibo Yang
P. Perdikaris
AI4CE
PINN
21
58
0
09 Dec 2018
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in
  Point Cloud
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
L. Yi
Wang Zhao
He Wang
Minhyuk Sung
Leonidas J. Guibas
3DPC
37
322
0
08 Dec 2018
Face Completion with Semantic Knowledge and Collaborative Adversarial
  Learning
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning
Haofu Liao
G. Funka-Lea
Yefeng Zheng
Jiebo Luo
S. Kevin Zhou
GAN
CVBM
41
25
0
08 Dec 2018
Adversarial Defense of Image Classification Using a Variational
  Auto-Encoder
Adversarial Defense of Image Classification Using a Variational Auto-Encoder
Yi-Si Luo
H. Pfister
AAML
11
9
0
07 Dec 2018
Learning Implicit Fields for Generative Shape Modeling
Learning Implicit Fields for Generative Shape Modeling
Zhiqin Chen
Hao Zhang
AI4CE
3DV
47
1,610
0
06 Dec 2018
StoryGAN: A Sequential Conditional GAN for Story Visualization
StoryGAN: A Sequential Conditional GAN for Story Visualization
Yitong Li
Zhe Gan
Yelong Shen
Jingjing Liu
Yu Cheng
Yuexin Wu
Lawrence Carin
David Carlson
Jianfeng Gao
41
226
0
06 Dec 2018
Visual Object Networks: Image Generation with Disentangled 3D
  Representation
Visual Object Networks: Image Generation with Disentangled 3D Representation
Jun-Yan Zhu
Zhoutong Zhang
Chengkai Zhang
Jiajun Wu
Antonio Torralba
J. Tenenbaum
Bill Freeman
DRL
CoGe
OCL
38
253
0
06 Dec 2018
Relative Entropy Regularized Policy Iteration
Relative Entropy Regularized Policy Iteration
A. Abdolmaleki
Jost Tobias Springenberg
Jonas Degrave
Steven Bohez
Yuval Tassa
Dan Belov
N. Heess
Martin Riedmiller
27
72
0
05 Dec 2018
Learning to Take Directions One Step at a Time
Learning to Take Directions One Step at a Time
Qiyang Hu
Adrian Waelchli
Tiziano Portenier
Matthias Zwicker
Paolo Favaro
GAN
VGen
22
12
0
05 Dec 2018
Rare Event Detection using Disentangled Representation Learning
Rare Event Detection using Disentangled Representation Learning
Ryuhei Hamaguchi
Ken Sakurada
Ryosuke Nakamura
DRL
20
35
0
04 Dec 2018
A Spectral Regularizer for Unsupervised Disentanglement
A Spectral Regularizer for Unsupervised Disentanglement
Aditya A. Ramesh
Youngduck Choi
Yann LeCun
DRL
32
42
0
04 Dec 2018
Learning Multimodal Graph-to-Graph Translation for Molecular
  Optimization
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
Wengong Jin
Kevin Kaichuang Yang
Regina Barzilay
Tommi Jaakkola
35
224
0
03 Dec 2018
Deep Factors with Gaussian Processes for Forecasting
Deep Factors with Gaussian Processes for Forecasting
Danielle C. Maddix
Bernie Wang
Alex Smola
BDL
UQCV
AI4TS
36
41
0
30 Nov 2018
GDPP: Learning Diverse Generations Using Determinantal Point Process
GDPP: Learning Diverse Generations Using Determinantal Point Process
Mohamed Elfeki
Camille Couprie
M. Rivière
Mohamed Elhoseiny
26
64
0
30 Nov 2018
Practical Full Resolution Learned Lossless Image Compression
Practical Full Resolution Learned Lossless Image Compression
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
24
196
0
30 Nov 2018
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional
  Generative Models
Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models
Daniel E. Ritchie
Kai Wang
Yu-An Lin
3DV
24
155
0
29 Nov 2018
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
206
633
0
29 Nov 2018
Identity Preserving Generative Adversarial Network for Cross-Domain
  Person Re-identification
Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification
Jialun Liu
GAN
OOD
29
25
0
28 Nov 2018
Image Generation from Layout
Image Generation from Layout
Bo Zhao
Lili Meng
Weidong Yin
Leonid Sigal
19
208
0
28 Nov 2018
A Visual Interaction Framework for Dimensionality Reduction Based Data
  Exploration
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
M. Cavallo
Çağatay Demiralp
11
55
0
28 Nov 2018
Partitioned Variational Inference: A unified framework encompassing
  federated and continual learning
Partitioned Variational Inference: A unified framework encompassing federated and continual learning
T. Bui
Cuong V Nguyen
S. Swaroop
Richard Turner
FedML
27
55
0
27 Nov 2018
Label-Noise Robust Generative Adversarial Networks
Label-Noise Robust Generative Adversarial Networks
Takuhiro Kaneko
Yoshitaka Ushiku
Tatsuya Harada
NoLa
30
60
0
27 Nov 2018
Class-Distinct and Class-Mutual Image Generation with GANs
Class-Distinct and Class-Mutual Image Generation with GANs
Takuhiro Kaneko
Yoshitaka Ushiku
Tatsuya Harada
20
9
0
27 Nov 2018
Neural Non-Stationary Spectral Kernel
Neural Non-Stationary Spectral Kernel
Sami Remes
Markus Heinonen
Samuel Kaski
BDL
18
9
0
27 Nov 2018
Time-Aware and View-Aware Video Rendering for Unsupervised
  Representation Learning
Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning
Shruti Vyas
Yogesh S Rawat
M. Shah
AI4TS
33
4
0
26 Nov 2018
Sequential Variational Autoencoders for Collaborative Filtering
Sequential Variational Autoencoders for Collaborative Filtering
Noveen Sachdeva
Giuseppe Manco
Ettore Ritacco
Vikram Pudi
BDL
18
102
0
25 Nov 2018
Learning Attractor Dynamics for Generative Memory
Learning Attractor Dynamics for Generative Memory
Yan Wu
Greg Wayne
Karol Gregor
Timothy Lillicrap
BDL
19
18
0
23 Nov 2018
Spread Divergence
Spread Divergence
Mingtian Zhang
Peter Hayes
Thomas Bird
Raza Habib
David Barber
MedIm
UD
30
20
0
21 Nov 2018
Regularizing by the Variance of the Activations' Sample-Variances
Regularizing by the Variance of the Activations' Sample-Variances
Etai Littwin
Lior Wolf
VLM
23
12
0
21 Nov 2018
Learning Actionable Representations with Goal-Conditioned Policies
Learning Actionable Representations with Goal-Conditioned Policies
Dibya Ghosh
Abhishek Gupta
Sergey Levine
32
109
0
19 Nov 2018
Stochastic Deep Networks
Stochastic Deep Networks
Gwendoline de Bie
Gabriel Peyré
Marco Cuturi
30
21
0
19 Nov 2018
Probabilistic Graphs for Sensor Data-driven Modelling of Power Systems
  at Scale
Probabilistic Graphs for Sensor Data-driven Modelling of Power Systems at Scale
Francesco Fusco
13
4
0
18 Nov 2018
Deep Knockoffs
Deep Knockoffs
Yaniv Romano
Matteo Sesia
Emmanuel J. Candès
BDL
18
139
0
16 Nov 2018
Concept-Oriented Deep Learning: Generative Concept Representations
Concept-Oriented Deep Learning: Generative Concept Representations
Daniel T. Chang
DRL
GAN
BDL
36
12
0
15 Nov 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing
T. Weber
Yori Zwols
S. Racanière
A. Guez
Jean-Baptiste Lespiau
N. Heess
CML
37
135
0
15 Nov 2018
Style and Content Disentanglement in Generative Adversarial Networks
Style and Content Disentanglement in Generative Adversarial Networks
Hadi Kazemi
Seyed Mehdi Iranmanesh
Nasser M. Nasrabadi
GAN
DRL
34
69
0
14 Nov 2018
A domain agnostic measure for monitoring and evaluating GANs
A domain agnostic measure for monitoring and evaluating GANs
Paulina Grnarova
Kfir Y. Levy
Aurelien Lucchi
Nathanael Perraudin
Ian Goodfellow
Thomas Hofmann
Andreas Krause
EGVM
24
8
0
13 Nov 2018
Generative Dual Adversarial Network for Generalized Zero-shot Learning
Generative Dual Adversarial Network for Generalized Zero-shot Learning
He Huang
Chang-Dong Wang
Philip S. Yu
Chang-Dong Wang
GAN
30
220
0
12 Nov 2018
Improving Generalization for Abstract Reasoning Tasks Using Disentangled
  Feature Representations
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations
Xander Steenbrugge
Sam Leroux
Tim Verbelen
Bart Dhoedt
OOD
DRL
22
68
0
12 Nov 2018
Gaussian AutoEncoder
Gaussian AutoEncoder
J. Duda
DRL
25
1
0
12 Nov 2018
User Modeling for Task Oriented Dialogues
User Modeling for Task Oriented Dialogues
Izzeddin Gur
Dilek Z. Hakkani-Tür
Gokhan Tur
Pararth Shah
30
58
0
11 Nov 2018
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