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Preventing Posterior Collapse with delta-VAEs

Preventing Posterior Collapse with delta-VAEs

10 January 2019
Ali Razavi
Aaron van den Oord
Ben Poole
Oriol Vinyals
    DRL
ArXivPDFHTML

Papers citing "Preventing Posterior Collapse with delta-VAEs"

38 / 38 papers shown
Title
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
A Grey-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
Zhongliang Guo
Lei Fang
Jingyu Lin
Yifei Qian
Shuai Zhao
Zeyu Wang
Zeyu Wang
Cunjian Chen
Ognjen Arandjelović
Chun Pong Lau
DiffM
AAML
40
6
0
20 Aug 2024
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
Phai Vu Dinh
Nguyen Quang Uy
D. Hoang
Diep N. Nguyen
Son Pham Bao
E. Dutkiewicz
AAML
68
1
0
22 Mar 2024
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo
Hossein Rahmani
Xiaozhong Liu
78
31
0
27 Aug 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders
  using context
Discouraging posterior collapse in hierarchical Variational Autoencoders using context
Anna Kuzina
Jakub M. Tomczak
BDL
DRL
23
1
0
20 Feb 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility
  Constraints
Diverse Probabilistic Trajectory Forecasting with Admissibility Constraints
Laura Calem
H. Ben-younes
P. Pérez
Nicolas Thome
33
3
0
07 Feb 2023
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Ðorðe Miladinovic
Kumar Shridhar
Kushal Kumar Jain
Max B. Paulus
J. M. Buhmann
Mrinmaya Sachan
Carl Allen
DRL
23
5
0
26 Sep 2022
Dataset Condensation with Latent Space Knowledge Factorization and
  Sharing
Dataset Condensation with Latent Space Knowledge Factorization and Sharing
Haebeom Lee
Dong Bok Lee
Sung Ju Hwang
DD
21
37
0
21 Aug 2022
Improving Small Molecule Generation using Mutual Information Machine
Improving Small Molecule Generation using Mutual Information Machine
Daniel A. Reidenbach
M. Livne
Rajesh Ilango
M. Gill
Johnny Israeli
28
14
0
18 Aug 2022
InitialGAN: A Language GAN with Completely Random Initialization
InitialGAN: A Language GAN with Completely Random Initialization
Da Ren
Qing Li
GAN
27
2
0
04 Aug 2022
Comparing the latent space of generative models
Comparing the latent space of generative models
Andrea Asperti
Valerio Tonelli
DRL
26
12
0
14 Jul 2022
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent
  Variable Inference for Text Generation
Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xing Xie
21
21
0
13 Jul 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE
Chang-Tien Lu
Shen Zheng
Zirui Wang
O. Dib
Gaurav Gupta
34
3
0
28 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
213
51
0
27 May 2022
PhysioGAN: Training High Fidelity Generative Model for Physiological
  Sensor Readings
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings
M. Alzantot
L. Garcia
Mani B. Srivastava
27
1
0
25 Apr 2022
Efficient-VDVAE: Less is more
Efficient-VDVAE: Less is more
Louay Hazami
Rayhane Mama
Ragavan Thurairatnam
BDL
24
28
0
25 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
20
55
0
11 Mar 2022
Variational autoencoders in the presence of low-dimensional data:
  landscape and implicit bias
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias
Frederic Koehler
Viraj Mehta
Chenghui Zhou
Andrej Risteski
DRL
28
12
0
13 Dec 2021
Data-Driven Offline Optimization For Architecting Hardware Accelerators
Data-Driven Offline Optimization For Architecting Hardware Accelerators
Aviral Kumar
Amir Yazdanbakhsh
Milad Hashemi
Kevin Swersky
Sergey Levine
27
36
0
20 Oct 2021
Conditional Temporal Variational AutoEncoder for Action Video Prediction
Conditional Temporal Variational AutoEncoder for Action Video Prediction
Xiaogang Xu
Yi Wang
Liwei Wang
Bei Yu
Jiaya Jia
VGen
31
5
0
12 Aug 2021
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network
Zhibin Duan
Dongsheng Wang
Bo Chen
Chaojie Wang
Wenchao Chen
Yewen Li
J. Ren
Mingyuan Zhou
BDL
34
38
0
30 Jun 2021
Score-based Generative Modeling in Latent Space
Score-based Generative Modeling in Latent Space
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
16
658
0
10 Jun 2021
EXoN: EXplainable encoder Network
EXoN: EXplainable encoder Network
SeungHwan An
Hosik Choi
Jong-June Jeon
BDL
DRL
13
5
0
23 May 2021
A Critical Look at the Consistency of Causal Estimation With Deep Latent
  Variable Models
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models
Severi Rissanen
Pekka Marttinen
CML
20
26
0
12 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
64
623
0
22 Jan 2021
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word
  Embeddings
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings
Puyuan Peng
Herman Kamper
Karen Livescu
DRL
SSL
14
14
0
03 Dec 2020
Perpetual Motion: Generating Unbounded Human Motion
Perpetual Motion: Generating Unbounded Human Motion
Yan Zhang
Michael J. Black
Siyu Tang
3DH
49
47
0
27 Jul 2020
Sequential Segment-based Level Generation and Blending using Variational
  Autoencoders
Sequential Segment-based Level Generation and Blending using Variational Autoencoders
Anurag Sarkar
Seth Cooper
3DV
19
26
0
17 Jul 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away
A Batch Normalized Inference Network Keeps the KL Vanishing Away
Qile Zhu
Jianlin Su
Wei Bi
Xiaojiang Liu
Xiyao Ma
Xiaolin Li
D. Wu
BDL
DRL
34
61
0
27 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational
  Autoencoders
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
DRL
13
4
0
17 Mar 2020
Balancing reconstruction error and Kullback-Leibler divergence in
  Variational Autoencoders
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders
Andrea Asperti
Matteo Trentin
DRL
22
96
0
18 Feb 2020
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings
Shweta Mahajan
Iryna Gurevych
Stefan Roth
DRL
15
36
0
16 Feb 2020
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
James Lucas
George Tucker
Roger C. Grosse
Mohammad Norouzi
CoGe
DRL
22
179
0
06 Nov 2019
Study of Deep Generative Models for Inorganic Chemical Compositions
Study of Deep Generative Models for Inorganic Chemical Compositions
Yoshihide Sawada
Koji Morikawa
Mikiya Fujii
GAN
14
13
0
25 Oct 2019
High Mutual Information in Representation Learning with Symmetric
  Variational Inference
High Mutual Information in Representation Learning with Symmetric Variational Inference
M. Livne
Kevin Swersky
David J. Fleet
SSL
DRL
28
0
0
04 Oct 2019
Conditional Flow Variational Autoencoders for Structured Sequence
  Prediction
Conditional Flow Variational Autoencoders for Structured Sequence Prediction
Apratim Bhattacharyya
M. Hanselmann
Mario Fritz
Bernt Schiele
C. Straehle
BDL
DRL
AI4TS
24
83
0
24 Aug 2019
Effective Estimation of Deep Generative Language Models
Effective Estimation of Deep Generative Language Models
Tom Pelsmaeker
Wilker Aziz
BDL
22
27
0
17 Apr 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
27
37
0
06 Mar 2019
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
236
2,547
0
25 Jan 2016
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