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Variational Lossy Autoencoder
v1v2 (latest)

Variational Lossy Autoencoder

8 November 2016
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
    DRLSSLGAN
ArXiv (abs)PDFHTML

Papers citing "Variational Lossy Autoencoder"

50 / 396 papers shown
Title
FullFormer: Generating Shapes Inside Shapes
FullFormer: Generating Shapes Inside Shapes
Tejaswini Medi
Jawad Tayyub
M. Sarmad
Frank Lindseth
Margret Keuper
119
1
0
20 Mar 2023
Variational Mixture of HyperGenerators for Learning Distributions Over
  Functions
Variational Mixture of HyperGenerators for Learning Distributions Over FunctionsInternational Conference on Machine Learning (ICML), 2023
Batuhan Koyuncu
Pablo Sánchez-Martín
I. Peis
Pablo M. Olmos
Isabel Valera
BDLGANDRL
172
6
0
13 Feb 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes
Fully Bayesian Autoencoders with Latent Sparse Gaussian ProcessesInternational Conference on Machine Learning (ICML), 2023
Ba-Hien Tran
Babak Shahbaba
Stephan Mandt
Maurizio Filippone
SyDaBDLUQCV
171
7
0
09 Feb 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with
  Short-run Langevin Flow for Approximate Inference
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate InferenceAAAI Conference on Artificial Intelligence (AAAI), 2023
Jianwen Xie
Y. Zhu
Yifei Xu
Dingcheng Li
Ping Li
BDLDRL
248
7
0
23 Jan 2023
Posterior Collapse and Latent Variable Non-identifiability
Posterior Collapse and Latent Variable Non-identifiabilityNeural Information Processing Systems (NeurIPS), 2023
Yixin Wang
David M. Blei
John P. Cunningham
CMLDRL
313
83
0
02 Jan 2023
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic
  Inference
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic InferenceNeural Information Processing Systems (NeurIPS), 2022
Emile van Krieken
Thiviyan Thanapalasingam
Jakub M. Tomczak
F. V. Harmelen
A. T. Teije
373
50
0
23 Dec 2022
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion CurveInternational Conference on Learning Representations (ICLR), 2022
Juhan Bae
Michael Ruogu Zhang
Michael Ruan
Eric Wang
S. Hasegawa
Jimmy Ba
Roger C. Grosse
DRL
223
23
0
07 Dec 2022
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain
  MRI with Structured Variational Priors
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors
Anjun Hu
Jean-Pierre Falet
Brennan Nichyporuk
Changjian Shui
Douglas L. Arnold
Sotirios A. Tsaftaris
Tal Arbel
164
2
0
15 Nov 2022
Augmentative Topology Agents For Open-Ended Learning
Augmentative Topology Agents For Open-Ended Learning
Muhammad Umair Nasir
Michael Beukman
Steven D. James
C. Cleghorn
197
3
0
20 Oct 2022
Optimizing Hierarchical Image VAEs for Sample Quality
Optimizing Hierarchical Image VAEs for Sample Quality
Eric Luhman
Troy Luhman
DRL
141
5
0
18 Oct 2022
Decoding Visual Neural Representations by Multimodal Learning of
  Brain-Visual-Linguistic Features
Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic FeaturesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Changde Du
Kaicheng Fu
Jinpeng Li
Huiguang He
VLM
176
126
0
13 Oct 2022
Multi-Task Dynamical Systems
Multi-Task Dynamical SystemsJournal of machine learning research (JMLR), 2022
Alex Bird
Christopher K. I. Williams
Christopher Hawthorne
AI4TS
138
1
0
08 Oct 2022
Multi-Sample Training for Neural Image Compression
Multi-Sample Training for Neural Image CompressionNeural Information Processing Systems (NeurIPS), 2022
Tongda Xu
Yan Wang
Dailan He
Chenjian Gao
Han-yi Gao
Kun Liu
Hongwei Qin
199
5
0
28 Sep 2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEsNeural Information Processing Systems (NeurIPS), 2022
Ðorðe Miladinovic
Kumar Shridhar
Kushal Kumar Jain
Max B. Paulus
J. M. Buhmann
Mrinmaya Sachan
Carl Allen
DRL
285
5
0
26 Sep 2022
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image
  Fusion
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image FusionEuropean Conference on Computer Vision (ECCV), 2022
Fabian Duffhauss
Ngo Anh Vien
Hanna Ziesche
Gerhard Neumann
123
9
0
22 Sep 2022
Amortized Variational Inference: A Systematic Review
Amortized Variational Inference: A Systematic ReviewJournal of Artificial Intelligence Research (JAIR), 2022
Ankush Ganguly
Sanjana Jain
Ukrit Watchareeruetai
235
26
0
22 Sep 2022
A Geometric Perspective on Variational Autoencoders
A Geometric Perspective on Variational AutoencodersNeural Information Processing Systems (NeurIPS), 2022
Clément Chadebec
S. Allassonnière
DRL
193
29
0
15 Sep 2022
From latent dynamics to meaningful representations
From latent dynamics to meaningful representationsJournal of Chemical Theory and Computation (JCTC), 2022
Dedi Wang
Yihang Wang
Luke J. Evans
P. Tiwary
AI4CE
267
12
0
02 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
Weitong Chen
BDL
405
27
0
01 Sep 2022
Large-Scale Auto-Regressive Modeling Of Street Networks
Large-Scale Auto-Regressive Modeling Of Street Networks
Michael Birsak
Tom Kelly
W. Para
Peter Wonka
GNNAI4TS
74
7
0
01 Sep 2022
Stable Object Reorientation using Contact Plane Registration
Stable Object Reorientation using Contact Plane RegistrationIEEE International Conference on Robotics and Automation (ICRA), 2022
R. Li
Carlos Esteves
A. Makadia
Pulkit Agrawal
161
3
0
18 Aug 2022
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse
Forget-me-not! Contrastive Critics for Mitigating Posterior CollapseConference on Uncertainty in Artificial Intelligence (UAI), 2022
Sachit Menon
David M. Blei
Carl Vondrick
DRL
257
7
0
19 Jul 2022
Controllable and Lossless Non-Autoregressive End-to-End Text-to-Speech
Controllable and Lossless Non-Autoregressive End-to-End Text-to-Speech
Zhengxi Liu
Qiao Tian
Chenxu Hu
Xudong Liu
Meng-Che Wu
Yuping Wang
Hang Zhao
Yuxuan Wang
118
12
0
13 Jul 2022
Markovian Gaussian Process Variational Autoencoders
Markovian Gaussian Process Variational AutoencodersInternational Conference on Machine Learning (ICML), 2022
Harrison Zhu
Carles Balsells Rodas
Yingzhen Li
BDLAI4TS
280
21
0
12 Jul 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via
  Sequence Modeling
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence ModelingInternational Conference on Machine Learning (ICML), 2022
Tung Nguyen
Aditya Grover
BDLUQCV
251
132
0
09 Jul 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
Few-Shot Non-Parametric Learning with Deep Latent Variable ModelNeural Information Processing Systems (NeurIPS), 2022
Zhiying Jiang
Yi-Zhu Dai
Ji Xin
Ming Li
Jimmy J. Lin
165
5
0
23 Jun 2022
Automated Cancer Subtyping via Vector Quantization Mutual Information
  Maximization
Automated Cancer Subtyping via Vector Quantization Mutual Information Maximization
Zheng Chen
Lingwei Zhu
Ziwei Yang
Takashi Matsubara
167
7
0
22 Jun 2022
Review Neural Networks about Image Transformation Based on IGC Learning
  Framework with Annotated Information
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information
Yuanjie Yan
Suorong Yang
Yan Wang
Jian Zhao
S. Furao
96
0
0
21 Jun 2022
Latent Variable Modelling Using Variational Autoencoders: A survey
Latent Variable Modelling Using Variational Autoencoders: A survey
Vasanth Kalingeri
CMLDRL
132
2
0
20 Jun 2022
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use
  Case
Pythae: Unifying Generative Autoencoders in Python -- A Benchmarking Use CaseNeural Information Processing Systems (NeurIPS), 2022
Clément Chadebec
Louis J. Vincent
S. Allassonnière
DRL
178
37
0
16 Jun 2022
RENs: Relevance Encoding Networks
RENs: Relevance Encoding Networks
Krithika S. Iyer
Riddhish Bhalodia
Shireen Y. Elhabian
DRL
178
1
0
25 May 2022
Structured Uncertainty in the Observation Space of Variational
  Autoencoders
Structured Uncertainty in the Observation Space of Variational Autoencoders
James A. G. Langley
M. Monteiro
Charles Jones
Nick Pawlowski
Ben Glocker
CMLOODBDLDRL
160
3
0
25 May 2022
Variational Inference MPC using Normalizing Flows and
  Out-of-Distribution Projection
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection
Thomas Power
Dmitry Berenson
160
39
0
10 May 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models
Gabriel Loaiza-Ganem
Brendan Leigh Ross
Jesse C. Cresswell
M. Volkovs
GANDRL
346
34
0
14 Apr 2022
Structured Graph Variational Autoencoders for Indoor Furniture layout
  Generation
Structured Graph Variational Autoencoders for Indoor Furniture layout Generation
Aditya Chattopadhyay
Xi Zhang
David Wipf
H. Arora
René Vidal
DRL3DV
162
2
0
11 Apr 2022
Statistical Model Criticism of Variational Auto-Encoders
Statistical Model Criticism of Variational Auto-Encoders
Claartje Barkhof
Wilker Aziz
DRL
156
3
0
06 Apr 2022
Tampered VAE for Improved Satellite Image Time Series Classification
Tampered VAE for Improved Satellite Image Time Series Classification
Xin Cai
Y. Bi
Peter Nicholl
AI4TS
74
1
0
30 Mar 2022
Efficient-VDVAE: Less is more
Efficient-VDVAE: Less is more
Louay Hazami
Rayhane Mama
Ragavan Thurairatnam
BDL
189
29
0
25 Mar 2022
The Transitive Information Theory and its Application to Deep Generative
  Models
The Transitive Information Theory and its Application to Deep Generative Models
Trung Ngo Trong
Najwa Laabid
Ville Hautamaki
M. Heinäniemi
DRL
201
0
0
09 Mar 2022
Interpretable Latent Variables in Deep State Space Models
Interpretable Latent Variables in Deep State Space Models
Haoxuan Wu
David S. Matteson
M. Wells
BDLAI4TS
170
0
0
03 Mar 2022
Variational Autoencoders Without the Variation
Variational Autoencoders Without the Variation
Gregory A. Daly
J. Fieldsend
G. Tabor
124
2
0
01 Mar 2022
Mixed Effects Neural ODE: A Variational Approximation for Analyzing the
  Dynamics of Panel Data
Mixed Effects Neural ODE: A Variational Approximation for Analyzing the Dynamics of Panel Data
Jurijs Nazarovs
Rudrasis Chakraborty
Songwong Tasneeyapant
Sathya Ravi
Vikas Singh
89
5
0
18 Feb 2022
Snowflake Point Deconvolution for Point Cloud Completion and Generation
  with Skip-Transformer
Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-TransformerIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Peng Xiang
Xin Wen
Yu-Shen Liu
Yaru Cao
Pengfei Wan
Wen Zheng
Zhizhong Han
3DPC
241
90
0
18 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic
  Programming
VAEL: Bridging Variational Autoencoders and Probabilistic Logic ProgrammingNeural Information Processing Systems (NeurIPS), 2022
Eleonora Misino
G. Marra
Emanuele Sansone
252
29
0
07 Feb 2022
From data to functa: Your data point is a function and you can treat it
  like one
From data to functa: Your data point is a function and you can treat it like oneInternational Conference on Machine Learning (ICML), 2022
Emilien Dupont
Hyunjik Kim
S. M. Ali Eslami
Danilo Jimenez Rezende
Dan Rosenbaum
TDI3DPC
530
183
0
28 Jan 2022
Using machine learning to parametrize postmerger signals from binary
  neutron stars
Using machine learning to parametrize postmerger signals from binary neutron stars
Tim Whittaker
W. East
Stephen R. Green
L. Lehner
Huan Yang
40
6
0
17 Jan 2022
Exploring Social Posterior Collapse in Variational Autoencoder for
  Interaction Modeling
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
Chen Tang
Wei Zhan
Masayoshi Tomizuka
DRL
130
24
0
01 Dec 2021
Variational Learning for Unsupervised Knowledge Grounded Dialogs
Variational Learning for Unsupervised Knowledge Grounded Dialogs
Mayank Mishra
Dhiraj Madan
Gaurav Pandey
Danish Contractor
183
4
0
23 Nov 2021
Entropy optimized semi-supervised decomposed vector-quantized
  variational autoencoder model based on transfer learning for multiclass text
  classification and generation
Entropy optimized semi-supervised decomposed vector-quantized variational autoencoder model based on transfer learning for multiclass text classification and generation
Shivani Malhotra
Vinay Kumar
A. K. Agarwal
DRL
95
0
0
10 Nov 2021
TopicNet: Semantic Graph-Guided Topic Discovery
TopicNet: Semantic Graph-Guided Topic Discovery
Zhibin Duan
Yishi Xu
Bo Chen
Dongsheng Wang
Chaojie Wang
Mingyuan Zhou
BDL
186
17
0
27 Oct 2021
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