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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 / 3,546 papers shown
Title
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Oran Gafni
Adam Polyak
Oron Ashual
Shelly Sheynin
Devi Parikh
Yaniv Taigman
DiffM
21
513
0
24 Mar 2022
Compositional Temporal Grounding with Structured Variational Cross-Graph
  Correspondence Learning
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning
Juncheng Li
Junlin Xie
Long Qian
Linchao Zhu
Siliang Tang
Fei Wu
Yi Yang
Yueting Zhuang
Xinze Wang
44
73
0
24 Mar 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable
  Models
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Ge Kan
Jinhu Lu
Tian Wang
Baochang Zhang
Aichun Zhu
Lei Huang
Guodong Guo
H. Snoussi
37
6
0
24 Mar 2022
Learning Motion-Dependent Appearance for High-Fidelity Rendering of
  Dynamic Humans from a Single Camera
Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera
Jae Shin Yoon
Duygu Ceylan
Tuanfeng Y. Wang
Jingwan Lu
Jimei Yang
Zhixin Shu
Hyunjung Park
3DH
47
14
0
24 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in
  Deep Metric Learning
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Natalie Dullerud
Karsten Roth
Kimia Hamidieh
Nicolas Papernot
Marzyeh Ghassemi
39
15
0
23 Mar 2022
Competency Assessment for Autonomous Agents using Deep Generative Models
Competency Assessment for Autonomous Agents using Deep Generative Models
Aastha Acharya
Rebecca L. Russell
Nisar R. Ahmed
37
10
0
23 Mar 2022
Pixel VQ-VAEs for Improved Pixel Art Representation
Pixel VQ-VAEs for Improved Pixel Art Representation
Akash Saravanan
Matthew J. Guzdial
27
8
0
23 Mar 2022
An Empirical Study on Learning and Improving the Search Objective for
  Unsupervised Paraphrasing
An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing
Weikai Steven Lu
36
0
0
23 Mar 2022
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and
  Incomplete Clinical Data
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data
Ahmed H. Shahin
Joseph Jacob
Daniel C. Alexander
D. Barber
36
6
0
21 Mar 2022
Interpreting Class Conditional GANs with Channel Awareness
Interpreting Class Conditional GANs with Channel Awareness
Yin-Yin He
Zhiyi Zhang
Jiapeng Zhu
Yujun Shen
Qifeng Chen
GAN
21
1
0
21 Mar 2022
Stochastic Video Prediction with Structure and Motion
Stochastic Video Prediction with Structure and Motion
Adil Kaan Akan
Sadra Safadoust
Fatma Guney
VGen
27
9
0
20 Mar 2022
Attri-VAE: attribute-based interpretable representations of medical
  images with variational autoencoders
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders
Irem Cetin
Maialen Stephens
Oscar Camara
M. A. G. Ballester
DRL
53
39
0
20 Mar 2022
Discovering Objects that Can Move
Discovering Objects that Can Move
Zhipeng Bao
P. Tokmakov
Allan Jabri
Yu-xiong Wang
Adrien Gaidon
M. Hebert
OCL
41
43
0
18 Mar 2022
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative
  Priors
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors
Pakshal Bohra
Thanh-an Michel Pham
Jonathan Dong
M. Unser
MedIm
34
11
0
18 Mar 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC
Anna Kuzina
Max Welling
Jakub M. Tomczak
AAML
DRL
31
12
0
18 Mar 2022
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General Intelligence
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
41
44
0
17 Mar 2022
Diffusion Probabilistic Modeling for Video Generation
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang
Prakhar Srivastava
Stephan Mandt
DiffM
VGen
64
259
0
16 Mar 2022
Neural-Network-Directed Genetic Programmer for Discovery of Governing
  Equations
Neural-Network-Directed Genetic Programmer for Discovery of Governing Equations
S. Razavi
E. Gamazon
16
5
0
15 Mar 2022
LiP-Flow: Learning Inference-time Priors for Codec Avatars via
  Normalizing Flows in Latent Space
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space
Emre Aksan
Shugao Ma
Akin Caliskan
Stanislav Pidhorskyi
Alexander Richard
S. Wei
Jason M. Saragih
Otmar Hilliges
3DH
16
1
0
15 Mar 2022
Magnification Prior: A Self-Supervised Method for Learning
  Representations on Breast Cancer Histopathological Images
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Prakash Chandra Chhipa
Richa Upadhyay
G. Pihlgren
Rajkumar Saini
Seiichi Uchida
Marcus Liwicki
SSL
MedIm
33
19
0
15 Mar 2022
Conquering Ghosts: Relation Learning for Information Reliability
  Representation and End-to-End Robust Navigation
Conquering Ghosts: Relation Learning for Information Reliability Representation and End-to-End Robust Navigation
Kefan Jin
Xi Han
36
3
0
14 Mar 2022
Continual Learning for Multivariate Time Series Tasks with Variable
  Input Dimensions
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions
Vibhor Gupta
Jyoti Narwariya
Pankaj Malhotra
L. Vig
Gautam M. Shroff
AI4TS
32
21
0
14 Mar 2022
The Role of ImageNet Classes in Fréchet Inception Distance
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkaanniemi
Tero Karras
M. Aittala
Timo Aila
J. Lehtinen
EGVM
VLM
56
200
0
11 Mar 2022
Towards Self-Supervised Learning of Global and Object-Centric
  Representations
Towards Self-Supervised Learning of Global and Object-Centric Representations
Federico Baldassarre
Hossein Azizpour
SSL
3DPC
OCL
48
13
0
11 Mar 2022
Flexible Amortized Variational Inference in qBOLD MRI
Flexible Amortized Variational Inference in qBOLD MRI
Ivor J. A. Simpson
Ashley McManamon
Balázs Örzsik
A. Stone
N. Blockley
Iris Asllani
A. Colasanti
M. Cercignani
24
0
0
11 Mar 2022
FLAG: Flow-based 3D Avatar Generation from Sparse Observations
FLAG: Flow-based 3D Avatar Generation from Sparse Observations
S. Aliakbarian
Pashmina Cameron
Federica Bogo
Andrew Fitzgibbon
T. Cashman
3DH
39
55
0
11 Mar 2022
Information-Theoretic Odometry Learning
Information-Theoretic Odometry Learning
Sen Zhang
Jing Zhang
Dacheng Tao
28
5
0
11 Mar 2022
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance
  Imaging
Autofocusing+: Noise-Resilient Motion Correction in Magnetic Resonance Imaging
Ekaterina Kuzmina
A. Razumov
Oleg Y. Rogov
E. Adalsteinsson
Jacob K White
Dmitry V. Dylov
21
10
0
10 Mar 2022
On Linking Level Segments
On Linking Level Segments
Colan F. Biemer
Seth Cooper
31
7
0
09 Mar 2022
FlexIT: Towards Flexible Semantic Image Translation
FlexIT: Towards Flexible Semantic Image Translation
Guillaume Couairon
Asya Grechka
Jakob Verbeek
Holger Schwenk
Matthieu Cord
DiffM
57
36
0
09 Mar 2022
Variational Inference with Locally Enhanced Bounds for Hierarchical
  Models
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
Tomas Geffner
Justin Domke
35
5
0
08 Mar 2022
On generative models as the basis for digital twins
On generative models as the basis for digital twins
G. Tsialiamanis
D. Wagg
N. Dervilis
K. Worden
AI4CE
19
19
0
08 Mar 2022
Motron: Multimodal Probabilistic Human Motion Forecasting
Motron: Multimodal Probabilistic Human Motion Forecasting
Tim Salzmann
Marco Pavone
Markus Ryll
3DH
52
30
0
08 Mar 2022
Residual Robot Learning for Object-Centric Probabilistic Movement
  Primitives
Residual Robot Learning for Object-Centric Probabilistic Movement Primitives
João Carvalho
Dorothea Koert
Marek Daniv
Jan Peters
31
8
0
08 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
41
157
0
07 Mar 2022
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits
H. Flynn
David Reeb
M. Kandemir
Jan Peters
39
7
0
07 Mar 2022
Precognition in Task-oriented Dialogue Understanding: Posterior
  Regularization by Future Context
Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Context
Nan Su
Yuchi Zhang
Chao Liu
Bingzhu Du
Yongliang Wang
25
0
0
07 Mar 2022
Signature and Log-signature for the Study of Empirical Distributions
  Generated with GANs
Signature and Log-signature for the Study of Empirical Distributions Generated with GANs
J. Curtò
I. D. Zarzà
Hong-Mei Yan
Carlos T. Calafate
30
1
0
07 Mar 2022
GeoDiff: a Geometric Diffusion Model for Molecular Conformation
  Generation
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu
Lantao Yu
Yang Song
Chence Shi
Stefano Ermon
Jian Tang
BDL
DiffM
77
497
0
06 Mar 2022
Sparsity-Inducing Categorical Prior Improves Robustness of the
  Information Bottleneck
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck
Anirban Samaddar
Sandeep Madireddy
Prasanna Balaprakash
Tapabrata Maiti
Gustavo de los Campos
Ian Fischer
29
1
0
04 Mar 2022
Differentiable Causal Discovery Under Latent Interventions
Differentiable Causal Discovery Under Latent Interventions
Gonccalo R. A. Faria
André F. T. Martins
Mário A. T. Figueiredo
BDL
CML
OOD
47
23
0
04 Mar 2022
Freeform Body Motion Generation from Speech
Freeform Body Motion Generation from Speech
Jing-Fen Xu
Wei Zhang
Yalong Bai
Qi-Biao Sun
Tao Mei
SLR
44
18
0
04 Mar 2022
Compressed Predictive Information Coding
Compressed Predictive Information Coding
Rui Meng
Tianyi Luo
K. Bouchard
24
1
0
03 Mar 2022
Polarity Sampling: Quality and Diversity Control of Pre-Trained
  Generative Networks via Singular Values
Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values
Ahmed Imtiaz Humayun
Randall Balestriero
Richard Baraniuk
24
31
0
03 Mar 2022
Robustness and Adaptation to Hidden Factors of Variation
Robustness and Adaptation to Hidden Factors of Variation
William Paul
Philippe Burlina
29
0
0
03 Mar 2022
Learning Neural Set Functions Under the Optimal Subset Oracle
Learning Neural Set Functions Under the Optimal Subset Oracle
Zijing Ou
Tingyang Xu
Qinliang Su
Yingzhen Li
P. Zhao
Yatao Bian
BDL
18
9
0
03 Mar 2022
Constrained unsupervised anomaly segmentation
Constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez
Valery Naranjo
Jose Dolz
23
23
0
03 Mar 2022
Learning Group Importance using the Differentiable Hypergeometric
  Distribution
Learning Group Importance using the Differentiable Hypergeometric Distribution
Thomas M. Sutter
Laura Manduchi
Alain Ryser
Julia E. Vogt
51
7
0
03 Mar 2022
PetsGAN: Rethinking Priors for Single Image Generation
PetsGAN: Rethinking Priors for Single Image Generation
Zicheng Zhang
Yinglu Liu
Congying Han
Hailin Shi
Tiande Guo
Bo Zhou
GAN
21
21
0
03 Mar 2022
Learning Conditional Variational Autoencoders with Missing Covariates
Learning Conditional Variational Autoencoders with Missing Covariates
S. Ramchandran
Gleb Tikhonov
Otto Lönnroth
Pekka Tiikkainen
Harri Lähdesmäki
CML
29
15
0
02 Mar 2022
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