Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1907.04809
Cited By
v1
v2
v3
v4 (latest)
Variational Autoencoders and Nonlinear ICA: A Unifying Framework
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
10 July 2019
Ilyes Khemakhem
Diederik P. Kingma
Ricardo Pio Monti
Aapo Hyvarinen
OOD
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Variational Autoencoders and Nonlinear ICA: A Unifying Framework"
50 / 402 papers shown
MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar
ACM International Conference on Embedded Networked Sensor Systems (SenSys), 2021
Tianyue Zheng
Zhe Chen
Shujie Zhang
Chao Cai
Jun Luo
265
126
0
16 Nov 2021
Unsupervised Learning of Compositional Energy Concepts
Neural Information Processing Systems (NeurIPS), 2021
Yilun Du
Shuang Li
Yash Sharma
J. Tenenbaum
Igor Mordatch
CoGe
OCL
292
84
0
04 Nov 2021
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
bioRxiv (bioRxiv), 2021
Ran Liu
Mehdi Azabou
M. Dabagia
Chi-Heng Lin
M. G. Azar
Keith B. Hengen
Michal Valko
Eva L. Dyer
OCL
SSL
DRL
179
44
0
03 Nov 2021
Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning
International Conference on Learning Representations (ICLR), 2021
Kartik Ahuja
Jason S. Hartford
Yoshua Bengio
151
39
0
29 Oct 2021
Identifiable Generative Models for Missing Not at Random Data Imputation
Neural Information Processing Systems (NeurIPS), 2021
Chao Ma
Cheng Zhang
153
45
0
27 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder
Neural Information Processing Systems (NeurIPS), 2021
M. Kiener
Weiran Wang
Michael Gerndt
CoGe
DRL
242
55
0
22 Oct 2021
Conditional Variational Autoencoder for Learned Image Reconstruction
De Computis (DC), 2021
Chen Zhang
Riccardo Barbano
Bangti Jin
DRL
184
28
0
22 Oct 2021
Identifiable Deep Generative Models via Sparse Decoding
Gemma E. Moran
Dhanya Sridhar
Yixin Wang
David M. Blei
BDL
258
56
0
20 Oct 2021
Discovery of Single Independent Latent Variable
Neural Information Processing Systems (NeurIPS), 2021
Uri Shaham
Jonathan Svirsky
Ori Katz
Ronen Talmon
CML
263
4
0
12 Oct 2021
Learning Temporally Causal Latent Processes from General Temporal Data
International Conference on Learning Representations (ICLR), 2021
Weiran Yao
Yuewen Sun
Alex Ho
Changyin Sun
Kun Zhang
BDL
CML
390
100
0
11 Oct 2021
β
β
β
-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
Pengzhou (Abel) Wu
Kenji Fukumizu
CML
198
16
0
11 Oct 2021
Inference-InfoGAN: Inference Independence via Embedding Orthogonal Basis Expansion
Hongxiang Jiang
Jihao Yin
Xiaoyan Luo
Fuxiang Wang
DRL
129
2
0
02 Oct 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models
Pengzhou (Abel) Wu
Kenji Fukumizu
BDL
OOD
CML
249
3
0
30 Sep 2021
DAReN: A Collaborative Approach Towards Reasoning And Disentangling
International Conference on Pattern Recognition (ICPR), 2021
Pritish Sahu
Kalliopi Basioti
Vladimir Pavlovic
265
1
0
27 Sep 2021
Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders
Journal of machine learning research (JMLR), 2021
Lisa Bonheme
M. Grzes
DRL
264
7
0
26 Sep 2021
Desiderata for Representation Learning: A Causal Perspective
Yixin Wang
Sai Li
CML
237
89
0
08 Sep 2021
Learning Disentangled Representations in the Imaging Domain
Xiao Liu
Pedro Sanchez
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
DRL
744
84
0
26 Aug 2021
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Yao Zhang
Jeroen Berrevoets
M. Schaar
CML
289
6
0
06 Aug 2021
Improving Music Performance Assessment with Contrastive Learning
Pavan Seshadri
Alexander Lerch
160
8
0
03 Aug 2021
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation
European Conference on Computer Vision (ECCV), 2021
Yilin Wen
Xiangyu Li
Hao Pan
Lei Yang
Zheng Wang
Taku Komura
Wenping Wang
DRL
139
11
0
27 Jul 2021
Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA
CLEaR (CLEaR), 2021
Sébastien Lachapelle
Pau Rodríguez López
Yash Sharma
Katie Everett
Rémi Le Priol
Alexandre Lacoste
Damien Scieur
CML
OOD
428
161
0
21 Jul 2021
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
International Conference on Learning Representations (ICLR), 2021
Lukas Schott
Julius von Kügelgen
Frederik Trauble
Peter V. Gehler
Chris Russell
Matthias Bethge
Bernhard Schölkopf
Francesco Locatello
Wieland Brendel
OOD
DRL
382
77
0
17 Jul 2021
Learning latent causal graphs via mixture oracles
Neural Information Processing Systems (NeurIPS), 2021
Bohdan Kivva
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
CML
345
55
0
29 Jun 2021
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
Neural Information Processing Systems (NeurIPS), 2021
Yining Chen
Elan Rosenfeld
Mark Sellke
Tengyu Ma
Andrej Risteski
OOD
225
35
0
18 Jun 2021
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
Neural Information Processing Systems (NeurIPS), 2021
Hermanni Hälvä
Sylvain Le Corff
Luc Lehéricy
Jonathan So
Yongjie Zhu
Elisabeth Gassiat
Aapo Hyvarinen
CML
193
75
0
17 Jun 2021
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness
Adam Foster
Árpi Vezér
C. A. Glastonbury
Páidí Creed
Sam Abujudeh
Aaron Sim
FaML
201
7
0
15 Jun 2021
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective
International Conference on Learning Representations (ICLR), 2021
Qinjie Lyu
Xiao Fu
Weiran Wang
Songtao Lu
SSL
182
34
0
14 Jun 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Neural Information Processing Systems (NeurIPS), 2021
Kartik Ahuja
Ethan Caballero
Dinghuai Zhang
Jean-Christophe Gagnon-Audet
Yoshua Bengio
Ioannis Mitliagkas
Irina Rish
OOD
268
317
0
11 Jun 2021
I Don't Need u: Identifiable Non-Linear ICA Without Side Information
M. Willetts
Brooks Paige
CML
OOD
270
26
0
09 Jun 2021
Independent mechanism analysis, a new concept?
Neural Information Processing Systems (NeurIPS), 2021
Luigi Gresele
Julius von Kügelgen
Vincent Stimper
Bernhard Schölkopf
M. Besserve
CML
332
113
0
09 Jun 2021
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style
Neural Information Processing Systems (NeurIPS), 2021
Julius von Kügelgen
Yash Sharma
Luigi Gresele
Wieland Brendel
Bernhard Schölkopf
M. Besserve
Francesco Locatello
367
356
0
08 Jun 2021
Local Disentanglement in Variational Auto-Encoders Using Jacobian
L
1
L_1
L
1
Regularization
Neural Information Processing Systems (NeurIPS), 2021
Travers Rhodes
Daniel D. Lee
DRL
199
21
0
05 Jun 2021
Reconstructing shared dynamics with a deep neural network
Zsigmond BenkHo
Zoltán Somogyvári
AI4TS
AI4CE
227
2
0
05 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
325
61
0
29 Apr 2021
Causal Hidden Markov Model for Time Series Disease Forecasting
Computer Vision and Pattern Recognition (CVPR), 2021
Jing Li
Botong Wu
Xinwei Sun
Yizhou Wang
CML
OOD
129
44
0
30 Mar 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
IEEE International Conference on Computer Vision (ICCV), 2021
Pau Rodríguez López
Massimo Caccia
Alexandre Lacoste
L. Zamparo
I. Laradji
Laurent Charlin
David Vazquez
AAML
279
65
0
18 Mar 2021
Probabilistic Simplex Component Analysis
IEEE Transactions on Signal Processing (IEEE TSP), 2021
Ruiyuan Wu
Wing-Kin Ma
Yuening Li
Anthony Man-Cho So
N. Sidiropoulos
316
15
0
18 Mar 2021
Information Maximization Clustering via Multi-View Self-Labelling
Knowledge-Based Systems (KBS), 2021
Foivos Ntelemis
Yaochu Jin
S. Thomas
SSL
170
28
0
12 Mar 2021
Deep Generative Pattern-Set Mixture Models for Nonignorable Missingness
Sahra Ghalebikesabi
R. Cornish
Luke J. Kelly
Chris Holmes
127
5
0
05 Mar 2021
Nonlinear Invariant Risk Minimization: A Causal Approach
Chaochao Lu
Yuhuai Wu
Jośe Miguel Hernández-Lobato
Bernhard Schölkopf
CML
OOD
309
55
0
24 Feb 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
International Conference on Learning Representations (ICLR), 2021
Tao Yang
Xuanchi Ren
Yuwang Wang
W. Zeng
Nanning Zheng
CoGe
DRL
206
32
0
20 Feb 2021
Contrastive Learning Inverts the Data Generating Process
International Conference on Machine Learning (ICML), 2021
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
694
250
0
17 Feb 2021
Demystifying Inductive Biases for
β
β
β
-VAE Based Architectures
Dominik Zietlow
Michal Rolínek
Georg Martius
CoGe
DRL
CML
133
8
0
12 Feb 2021
Addressing the Topological Defects of Disentanglement via Distributed Operators
Diane Bouchacourt
Mark Ibrahim
Stéphane Deny
145
22
0
10 Feb 2021
State estimation with limited sensors -- A deep learning based approach
Journal of Computational Physics (JCP), 2021
Y. Kumar
Pranav Bahl
S. Chakraborty
157
33
0
27 Jan 2021
Intact-VAE: Estimating Treatment Effects under Unobserved Confounding
Pengzhou (Abel) Wu
Kenji Fukumizu
CML
258
13
0
17 Jan 2021
Disentangling Observed Causal Effects from Latent Confounders using Method of Moments
Anqi Liu
Hao Liu
Tongxin Li
Saeed Karimi-Bidhendi
Yisong Yue
Anima Anandkumar
CML
163
4
0
17 Jan 2021
Identifying Invariant Texture Violation for Robust Deepfake Detection
Xinwei Sun
Botong Wu
Wei Chen
137
8
0
19 Dec 2020
A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems
IEEE Transactions on Power Systems (IEEE Trans. Power Syst.), 2020
Kursat Rasim Mestav
Xinyi Wang
Lang Tong
AI4TS
220
35
0
09 Dec 2020
Learning Disentangled Latent Factors from Paired Data in Cross-Modal Retrieval: An Implicit Identifiable VAE Approach
Minyoung Kim
Ricardo Guerrero
Vladimir Pavlovic
CoGe
CML
108
1
0
01 Dec 2020
Previous
1
2
3
4
5
6
7
8
9
Next
