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1901.03416
Cited By
Preventing Posterior Collapse with delta-VAEs
10 January 2019
Ali Razavi
Aaron van den Oord
Ben Poole
Oriol Vinyals
DRL
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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
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
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
Lin Geng Foo
Hossein Rahmani
Xiaozhong Liu
78
31
0
27 Aug 2023
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
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
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
Haebeom Lee
Dong Bok Lee
Sung Ju Hwang
DD
21
37
0
21 Aug 2022
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
Da Ren
Qing Li
GAN
27
2
0
04 Aug 2022
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
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xing Xie
21
21
0
13 Jul 2022
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
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
M. Alzantot
L. Garcia
Mani B. Srivastava
27
1
0
25 Apr 2022
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
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
Frederic Koehler
Viraj Mehta
Chenghui Zhou
Andrej Risteski
DRL
28
12
0
13 Dec 2021
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
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
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
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
16
658
0
10 Jun 2021
EXoN: EXplainable encoder Network
SeungHwan An
Hosik Choi
Jong-June Jeon
BDL
DRL
11
5
0
23 May 2021
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
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
64
623
0
22 Jan 2021
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
Yan Zhang
Michael J. Black
Siyu Tang
3DH
49
47
0
27 Jul 2020
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
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
Yaniv Yacoby
Weiwei Pan
Finale Doshi-Velez
DRL
13
4
0
17 Mar 2020
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
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
James Lucas
George Tucker
Roger C. Grosse
Mohammad Norouzi
CoGe
DRL
19
179
0
06 Nov 2019
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
M. Livne
Kevin Swersky
David J. Fleet
SSL
DRL
28
0
0
04 Oct 2019
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
Tom Pelsmaeker
Wilker Aziz
BDL
22
27
0
17 Apr 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
24
37
0
06 Mar 2019
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,547
0
25 Jan 2016
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