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Information Constraints on Auto-Encoding Variational Bayes

Information Constraints on Auto-Encoding Variational Bayes

22 May 2018
Romain Lopez
Jeffrey Regier
Michael I. Jordan
N. Yosef
    BDL
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Papers citing "Information Constraints on Auto-Encoding Variational Bayes"

13 / 13 papers shown
Title
Long-term Causal Effects Estimation via Latent Surrogates Representation
  Learning
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning
Ruichu Cai
Weilin Chen
Zeqin Yang
Shu Wan
Chen Zheng
Xiaoqing Yang
Jiecheng Guo
CML
BDL
40
12
0
09 Aug 2022
Leveraging Relational Information for Learning Weakly Disentangled
  Representations
Leveraging Relational Information for Learning Weakly Disentangled Representations
Andrea Valenti
D. Bacciu
CoGe
DRL
40
5
0
20 May 2022
Disentangled Spatiotemporal Graph Generative Models
Disentangled Spatiotemporal Graph Generative Models
Yuanqi Du
Xiaojie Guo
Hengning Cao
Yanfang Ye
Liang Zhao
33
21
0
28 Feb 2022
Moment Matching Deep Contrastive Latent Variable Models
Moment Matching Deep Contrastive Latent Variable Models
Ethan Weinberger
Nicasia Beebe-Wang
Su-In Lee
31
16
0
21 Feb 2022
Unsupervised Disentanglement without Autoencoding: Pitfalls and Future
  Directions
Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions
Andrea Burns
Aaron Sarna
Dilip Krishnan
Aaron Maschinot
CoGe
DRL
SSL
50
4
0
14 Aug 2021
Disentangling semantic features of macromolecules in Cryo-Electron
  Tomography
Disentangling semantic features of macromolecules in Cryo-Electron Tomography
Kai Yi
Jianye Pang
Yungeng Zhang
Xiangrui Zeng
Min Xu
21
1
0
27 Jun 2021
Robust Classification under Class-Dependent Domain Shift
Robust Classification under Class-Dependent Domain Shift
T. Galstyan
Hrant Khachatrian
Greg Ver Steeg
Aram Galstyan
OOD
16
2
0
10 Jul 2020
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement
Xiaojie Guo
Liang Zhao
Zhao Qin
Lingfei Wu
Amarda Shehu
Yanfang Ye
CoGe
DRL
43
46
0
09 Jun 2020
Generating Tertiary Protein Structures via an Interpretative Variational
  Autoencoder
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder
Xiaojie Guo
Yuanqi Du
Sivani Tadepalli
Liang Zhao
Amarda Shehu
DRL
30
26
0
08 Apr 2020
Estimation of Orientation and Camera Parameters from Cryo-Electron
  Microscopy Images with Variational Autoencoders and Generative Adversarial
  Networks
Estimation of Orientation and Camera Parameters from Cryo-Electron Microscopy Images with Variational Autoencoders and Generative Adversarial Networks
Nina Miolane
Frédéric Poitevin
Yee-Ting Li
S. Holmes
3DV
16
23
0
19 Nov 2019
Conditional out-of-sample generation for unpaired data using trVAE
Conditional out-of-sample generation for unpaired data using trVAE
M. Lotfollahi
Mohsen Naghipourfar
Fabian J. Theis
F. A. Wolf
GAN
ViT
DRL
30
19
0
04 Oct 2019
Theory and Evaluation Metrics for Learning Disentangled Representations
Theory and Evaluation Metrics for Learning Disentangled Representations
Kien Do
T. Tran
CoGe
DRL
21
93
0
26 Aug 2019
Disentangling and Learning Robust Representations with Natural
  Clustering
Disentangling and Learning Robust Representations with Natural Clustering
Javier Antorán
A. Miguel
CoGe
OOD
CML
DRL
27
19
0
27 Jan 2019
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