Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1611.02731
Cited By
v1
v2 (latest)
Variational Lossy Autoencoder
8 November 2016
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRL
SSL
GAN
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Variational Lossy Autoencoder"
50 / 398 papers shown
Density-Informed VAE (DiVAE): Reliable Log-Prior Probability via Density Alignment Regularization
Michele Alessi
Alessio Ansuini
Alex Rodriguez
133
0
0
03 Dec 2025
Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes
Gaurav Rudravaram
Lianrui Zuo
Adam M. Saunders
Michael E. Kim
Praitayini Kanakaraj
...
L. Beason-Held
D. Archer
Timothy J. Hohman
Daniel Moyer
Bennett A. Landman
BDL
248
0
0
20 Nov 2025
Neural Variational Dropout Processes
International Conference on Learning Representations (ICLR), 2025
Insu Jeon
Youngjin Park
Gunhee Kim
BDL
UQCV
306
3
0
22 Oct 2025
Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy
Meir H. Shachar
D. Sterbentz
Harshitha Menon
C. Jekel
M. Giselle Fernández-Godino
...
Kevin Korner
Robert Rieben
D. White
William J. Schill
Jonathan L. Belof
AI4CE
182
0
0
02 Oct 2025
Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis
Trinh Ngoc Huynh
Nguyen Duc Kien
Nguyen Hai Anh
Dinh Tran Hiep
Manuela Vaneckova
...
Jeroen Van Schependom
Stijn Denissen
Tran Quoc Long
Nguyen Linh Trung
Guy Nagels
32
0
0
28 Sep 2025
Generating Adversarial Point Clouds Using Diffusion Model
Ruiyang Zhao
Bingbing Zhu
Chuxuan Tong
Xiaoyi Zhou
Xi Zheng
DiffM
189
0
0
25 Jul 2025
Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression
Linfeng Qi
Zhaoyang Jia
Jiahao Li
Bin Li
Houqiang Li
Yan Lu
525
7
0
22 May 2025
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
Matthias Chung
Bas Peters
Michael Solomon
268
4
0
10 May 2025
Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
Jiadong Lou
Bingqing Liu
Yuanheng Xiong
Xiaodong Zhang
Xu Yuan
226
9
0
18 Apr 2025
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
S. Banerjee
Vinay Kumar Verma
SSL
314
0
0
10 Mar 2025
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
Nanyu Luo
Feng Ji
DRL
474
0
0
15 Feb 2025
Jet: A Modern Transformer-Based Normalizing Flow
Alexander Kolesnikov
André Susano Pinto
Michael Tschannen
244
10
0
19 Dec 2024
SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
Computer Vision and Pattern Recognition (CVPR), 2024
Zeyang Zhang
Zihan Wang
Xianrui Li
Xingwu Sun
Fangyi Chen
Jiang Liu
Jiadong Wang
Bhiksha Raj
Zicheng Liu
Emad Barsoum
VLM
668
32
0
14 Dec 2024
Hierarchical VAE with a Diffusion-based VampPrior
Anna Kuzina
Jakub M. Tomczak
DiffM
TPM
BDL
365
3
0
02 Dec 2024
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
1.1K
1
0
25 Nov 2024
Autoregressive Models in Vision: A Survey
Jing Xiong
Gongye Liu
Lun Huang
Chengyue Wu
Taiqiang Wu
...
Hao Fei
Guillermo Sapiro
Jiebo Luo
Ping Luo
Ngai Wong
VGen
489
38
0
08 Nov 2024
Time-Causal VAE: Robust Financial Time Series Generator
Beatrice Acciaio
Stephan Eckstein
Songyan Hou
AI4TS
271
6
0
05 Nov 2024
Private, Augmentation-Robust and Task-Agnostic Data Valuation Approach for Data Marketplace
Tayyebeh Jahani-Nezhad
Parsa Moradi
M. Maddah-ali
Giuseppe Caire
217
0
0
01 Nov 2024
How Do Flow Matching Models Memorize and Generalize in Sample Data Subspaces?
Weiguo Gao
Ming Li
OOD
323
9
0
31 Oct 2024
Behavioral Cloning Models Reality Check for Autonomous Driving
M. Yildirim
Barkin Dagda
Vinal Asodia
Saber Fallah
OffRL
208
3
0
11 Sep 2024
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
European Conference on Computer Vision (ECCV), 2024
Mathieu Cyrille Simon
Pascal Frossard
Christophe De Vleeschouwer
CoGe
CML
212
4
0
10 Aug 2024
A Non-negative VAE:the Generalized Gamma Belief Network
Zhibin Duan
Tiansheng Wen
Muyao Wang
Bo Chen
Mingyuan Zhou
BDL
311
2
0
06 Aug 2024
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element
Nimrod Berman
Ilan Naiman
Idan Arbiv
Gal Fadlon
Omri Azencot
CoGe
289
9
0
26 Jun 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Neural Information Processing Systems (NeurIPS), 2024
Victor Boutin
Rishav Mukherji
Aditya Agrawal
Sabine Muzellec
Thomas Fel
Thomas Serre
Rufin VanRullen
DiffM
383
2
0
10 Jun 2024
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis
Zhijun Liu
Shuai Wang
Sho Inoue
Qibing Bai
Haizhou Li
DiffM
184
32
0
08 Jun 2024
Rapid Review of Generative AI in Smart Medical Applications
International Journal of Computer Science & Information Technology (IJCSIT) (IJCSIT), 2024
Yuan Sun
Jorge Ortiz
MedIm
298
19
0
08 Jun 2024
DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild
Honghao Fu
Yufei Wang
Wenhan Yang
Alex C. Kot
Bihan Wen
641
9
0
30 May 2024
Variational Sampling of Temporal Trajectories
Jurijs Nazarovs
Zhichun Huang
Xingjian Zhen
Sourav Pal
Rudrasis Chakraborty
Vikas Singh
118
0
0
18 Mar 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior
Li-Yuan Tsao
Yi-Chen Lo
Chia-Che Chang
Hao-Wei Chen
Roy Tseng
Chien Feng
Chun-Yi Lee
SupR
277
9
0
16 Mar 2024
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding
Guangyi Liu
Yu Wang
Zeyu Feng
Qiyu Wu
Liping Tang
...
Shuguang Cui
Julian McAuley
Zichao Yang
Eric P. Xing
Zhiting Hu
DiffM
353
7
0
29 Feb 2024
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset
Edouard Duchesnay
Antoine Grigis
Pietro Gori
SSL
DRL
256
3
0
19 Feb 2024
Datacube segmentation via Deep Spectral Clustering
A. Bombini
Fernando García-Avello Bofías
Caterina Bracci
Michele Ginolfi
Chiara Ruberto
360
1
0
31 Jan 2024
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
William Heyden
Habib Ullah
M. Salman Siddiqui
Fadi Al Machot
VLM
283
1
0
20 Dec 2023
Learning to Act without Actions
Dominik Schmidt
Minqi Jiang
OffRL
460
68
0
17 Dec 2023
GIVT: Generative Infinite-Vocabulary Transformers
European Conference on Computer Vision (ECCV), 2023
Michael Tschannen
Cian Eastwood
Fabian Mentzer
368
63
0
04 Dec 2023
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation
European Conference on Computer Vision (ECCV), 2023
Chenliang Zhou
Fangcheng Zhong
Param Hanji
Zhilin Guo
Kyle Fogarty
Alejandro Sztrajman
Hongyun Gao
Cengiz Öztireli
237
6
0
20 Nov 2023
Unsupervised Denoising for Signal-Dependent and Row-Correlated Imaging Noise
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Benjamin Salmon
Alexander Krull
525
3
0
11 Oct 2023
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Jiayu Chen
Zelai Xu
Yunfei Li
Chao Yu
Jiaming Song
Huazhong Yang
Fei Fang
Yu Wang
Yi Wu
277
7
0
07 Oct 2023
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse
Fotios Lygerakis
Elmar Rueckert
DRL
243
6
0
06 Sep 2023
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder
Zezhen Zeng
Bin Liu
OODD
337
1
0
05 Sep 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Lin Geng Foo
Hossein Rahmani
Jing Liu
744
46
0
27 Aug 2023
Discovering Local Binary Pattern Equation for Foreground Object Removal in Videos
Caroline Silva
A. Sobral
A. Vacavant
T. Bouwmans
José A. M. Felippe De Souza
95
0
0
11 Aug 2023
A Review of Change of Variable Formulas for Generative Modeling
Ullrich Kothe
227
11
0
04 Aug 2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging
IEEE Transactions on Medical Imaging (TMI), 2023
M. Valiuddin
Christiaan Viviers
R. V. Sloun
Peter H. N. de With
Fons van der Sommen
UQCV
473
4
0
31 Jul 2023
InVAErt networks: a data-driven framework for model synthesis and identifiability analysis
Computer Methods in Applied Mechanics and Engineering (CMAME), 2023
Guoxiang Grayson Tong
Carlos A. Sing Long
Daniele E. Schiavazzi
342
9
0
24 Jul 2023
Unscented Autoencoder
International Conference on Machine Learning (ICML), 2023
Faris Janjos
Lars Rosenbaum
Maxim Dolgov
J. Marius Zöllner
193
2
0
08 Jun 2023
Learning low-dimensional dynamics from whole-brain data improves task capture
Eloy P. T. Geenjaar
Donghyun Kim
Riyasat Ohib
M. Duda
A. Kashyap
Sergey Plis
Vince D. Calhoun
117
5
0
18 May 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
International Conference on Machine Learning (ICML), 2023
Yuri Kinoshita
Kenta Oono
Kenji Fukumizu
Yuichi Yoshida
S. Maeda
DRL
BDL
229
4
0
25 Apr 2023
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection
Ashay Patel
Petru-Daniel Tudosiu
W. H. Pinaya
G. Cook
Vicky Goh
Sebastien Ourselin
M. Jorge Cardoso
OOD
ViT
MedIm
175
17
0
14 Apr 2023
Autoregressive Conditional Neural Processes
International Conference on Learning Representations (ICLR), 2023
W. Bruinsma
Stratis Markou
James Requiema
Andrew Y. K. Foong
Tom R. Andersson
Anna Vaughan
Anthony Buonomo
J. S. Hosking
Richard Turner
BDL
UQCV
217
32
0
25 Mar 2023
1
2
3
4
5
6
7
8
Next
