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1907.04809
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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
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Papers citing
"Variational Autoencoders and Nonlinear ICA: A Unifying Framework"
50 / 402 papers shown
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Aneesh Komanduri
Yongkai Wu
Feng Chen
Xintao Wu
CML
OOD
486
17
0
02 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions
Neural Information Processing Systems (NeurIPS), 2023
Julius von Kügelgen
M. Besserve
Wendong Liang
Luigi Gresele
Armin Kekić
Elias Bareinboim
David M. Blei
Bernhard Schölkopf
CML
527
80
0
01 Jun 2023
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts
Neural Information Processing Systems (NeurIPS), 2023
Emanuele Marconato
Stefano Teso
Antonio Vergari
Baptiste Caramiaux
375
54
0
31 May 2023
Neuro-Causal Factor Analysis
Alex Markham
Ming-Yuan Liu
Bryon Aragam
Liam Solus
CML
192
5
0
31 May 2023
Disentanglement via Latent Quantization
Neural Information Processing Systems (NeurIPS), 2023
Kyle Hsu
W. Dorrell
James C. R. Whittington
Jiajun Wu
Chelsea Finn
DRL
386
36
0
28 May 2023
Causal Component Analysis
Neural Information Processing Systems (NeurIPS), 2023
Wendong Liang
Armin Kekić
Julius von Kügelgen
Simon Buchholz
M. Besserve
Luigi Gresele
Bernhard Schölkopf
CML
408
48
0
26 May 2023
On the Identifiability of Switching Dynamical Systems
International Conference on Machine Learning (ICML), 2023
Carles Balsells-Rodas
Yixin Wang
Yingzhen Li
368
7
0
25 May 2023
Provably Learning Object-Centric Representations
International Conference on Machine Learning (ICML), 2023
Jack Brady
Roland S. Zimmermann
Yash Sharma
Bernhard Schölkopf
Julius von Kügelgen
Wieland Brendel
OCL
256
49
0
23 May 2023
Latent Processes Identification From Multi-View Time Series
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Zenan Huang
Haobo Wang
Jiaqi Zhao
Nenggan Zheng
AI4TS
138
5
0
14 May 2023
A Cookbook of Self-Supervised Learning
Randall Balestriero
Mark Ibrahim
Vlad Sobal
Ari S. Morcos
Shashank Shekhar
...
Pierre Fernandez
Amir Bar
Hamed Pirsiavash
Yann LeCun
Micah Goldblum
SyDa
FedML
SSL
455
366
0
24 Apr 2023
Leveraging sparse and shared feature activations for disentangled representation learning
Neural Information Processing Systems (NeurIPS), 2023
Marco Fumero
F. Wenzel
Luca Zancato
Alessandro Achille
Emanuele Rodolà
Stefano Soatto
Bernhard Schölkopf
Francesco Locatello
OOD
DRL
294
34
0
17 Apr 2023
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning
Patterns (Patterns), 2023
Aapo Hyvarinen
Ilyes Khemakhem
H. Morioka
CML
OOD
304
55
0
29 Mar 2023
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
International Conference on Learning Representations (ICLR), 2023
Matthew Ashman
Chao Ma
Agrin Hilmkil
Joel Jennings
Cheng Zhang
CML
AI4CE
179
15
0
22 Mar 2023
Neuro-Symbolic Reasoning Shortcuts: Mitigation Strategies and their Limitations
International Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2023
Emanuele Marconato
Stefano Teso
Baptiste Caramiaux
NAI
192
9
0
22 Mar 2023
Discovering Predictable Latent Factors for Time Series Forecasting
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jingyi Hou
Zhen Dong
Jiayu Zhou
Zhijie Liu
AI4TS
BDL
223
1
0
18 Mar 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives
ACM Computing Surveys (ACM Comput. Surv.), 2023
Chang Gong
Di Yao
Chuzhe Zhang
Wenbin Li
Jingping Bi
AI4TS
CML
408
49
0
17 Mar 2023
Identifiability Results for Multimodal Contrastive Learning
International Conference on Learning Representations (ICLR), 2023
Imant Daunhawer
Alice Bizeul
Emanuele Palumbo
Alexander Marx
Julia E. Vogt
253
54
0
16 Mar 2023
Masked Images Are Counterfactual Samples for Robust Fine-tuning
Computer Vision and Pattern Recognition (CVPR), 2023
Yao Xiao
Ziyi Tang
Pengxu Wei
Cong Liu
Guanbin Li
361
23
0
06 Mar 2023
Measuring axiomatic soundness of counterfactual image models
International Conference on Learning Representations (ICLR), 2023
M. Monteiro
Fabio De Sousa Ribeiro
Nick Pawlowski
Daniel Coelho De Castro
Ben Glocker
353
36
0
02 Mar 2023
Representation Disentaglement via Regularization by Causal Identification
Juan Castorena
OOD
CML
405
0
0
28 Feb 2023
Interpretable and intervenable ultrasonography-based machine learning models for pediatric appendicitis
Ricards Marcinkevics
Patricia Reis Wolfertstetter
Ugne Klimiene
Kieran Chin-Cheong
Alyssia Paschke
...
David Niederberger
S. Wellmann
Ece Ozkan
C. Knorr
Julia E. Vogt
318
35
0
28 Feb 2023
Causally Disentangled Generative Variational AutoEncoder
European Conference on Artificial Intelligence (ECAI), 2023
SeungHwan An
Kyungwoo Song
Jong-June Jeon
OOD
CoGe
DRL
CML
195
7
0
23 Feb 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Guodong Qi
Huimin Yu
CML
SSL
173
9
0
20 Feb 2023
Entity Aware Modelling: A Survey
Rahul Ghosh
Haoyu Yang
A. Khandelwal
Erhu He
Arvind Renganathan
Somya Sharma
X. Jia
Vipin Kumar
242
7
0
16 Feb 2023
Debiasing Recommendation by Learning Identifiable Latent Confounders
Knowledge Discovery and Data Mining (KDD), 2023
Qing Zhang
Xiaoying Zhang
Yang Liu
Hongning Wang
Min Gao
Jiheng Zhang
Ruocheng Guo
CML
316
17
0
10 Feb 2023
Concept Algebra for (Score-Based) Text-Controlled Generative Models
Neural Information Processing Systems (NeurIPS), 2023
Zihao Wang
Lin Gui
Jeffrey Negrea
Victor Veitch
CoGe
DiffM
553
60
0
07 Feb 2023
Identifiability of latent-variable and structural-equation models: from linear to nonlinear
Annals of the Institute of Statistical Mathematics (AISM), 2023
Aapo Hyvarinen
Ilyes Khemakhem
R. Monti
CML
281
61
0
06 Feb 2023
Counterfactual Identifiability of Bijective Causal Models
International Conference on Machine Learning (ICML), 2023
Arash Nasr-Esfahany
MohammadIman Alizadeh
Devavrat Shah
CML
BDL
459
37
0
04 Feb 2023
Unpaired Multi-Domain Causal Representation Learning
Neural Information Processing Systems (NeurIPS), 2023
Nils Sturma
C. Squires
Mathias Drton
Caroline Uhler
OOD
CML
292
30
0
02 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality
Gaël Gendron
Michael Witbrock
Gillian Dobbie
OOD
AI4CE
CML
431
13
0
01 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Erdun Gao
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
471
14
0
29 Jan 2023
Score-based Causal Representation Learning with Interventions
Burak Varici
Emre Acartürk
Karthikeyan Shanmugam
Abhishek Kumar
A. Tajer
CML
376
47
0
19 Jan 2023
Causal conditional hidden Markov model for multimodal traffic prediction
AAAI Conference on Artificial Intelligence (AAAI), 2023
Yu Zhao
Pan Deng
Junting Liu
Xiaofeng Jia
Mulan X. Wang
236
16
0
19 Jan 2023
Posterior Collapse and Latent Variable Non-identifiability
Neural Information Processing Systems (NeurIPS), 2023
Yixin Wang
David M. Blei
John P. Cunningham
CML
DRL
332
86
0
02 Jan 2023
eVAE: Evolutionary Variational Autoencoder
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zhangkai Wu
LongBing Cao
Lei Qi
BDL
DRL
248
18
0
01 Jan 2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
Neural Information Processing Systems (NeurIPS), 2023
Thanh Vinh Vo
Arnab Bhattacharyya
Young Lee
Tze-Yun Leong
FedML
287
25
0
01 Jan 2023
ContraFeat: Contrasting Deep Features for Semantic Discovery
AAAI Conference on Artificial Intelligence (AAAI), 2022
Xinqi Zhu
Chang Xu
Dacheng Tao
DRL
281
2
0
14 Dec 2022
Linear Causal Disentanglement via Interventions
International Conference on Machine Learning (ICML), 2022
C. Squires
A. Seigal
Salil Bhate
Caroline Uhler
CML
409
79
0
29 Nov 2022
Causal Inference with Conditional Instruments using Deep Generative Models
AAAI Conference on Artificial Intelligence (AAAI), 2022
Debo Cheng
Ziqi Xu
Jiuyong Li
Lin Liu
Jixue Liu
T. Le
CML
132
22
0
29 Nov 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
C. Xu
Chen Liu
Xinwei Sun
Siqian Yang
Yabiao Wang
Chengjie Wang
Yanwei Fu
163
25
0
29 Nov 2022
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
International Conference on Machine Learning (ICML), 2022
Sébastien Lachapelle
T. Deleu
Divyat Mahajan
Ioannis Mitliagkas
Yoshua Bengio
Damien Scieur
Quentin Bertrand
262
39
0
26 Nov 2022
Disentangled Representation Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xin Eric Wang
Hong Chen
Siao Tang
Zihao Wu
Wenwu Zhu
DRL
548
154
0
21 Nov 2022
Representational dissimilarity metric spaces for stochastic neural networks
International Conference on Learning Representations (ICLR), 2022
Lyndon Duong
Jingyang Zhou
Josue Nassar
Jules Berman
Jeroen Olieslagers
Alex H. Williams
237
26
0
21 Nov 2022
Confounder Balancing for Instrumental Variable Regression with Latent Variable
Anpeng Wu
Kun Kuang
Ruoxuan Xiong
Bo Li
Leilei Gan
CML
282
0
0
18 Nov 2022
Mechanistic Mode Connectivity
International Conference on Machine Learning (ICML), 2022
Ekdeep Singh Lubana
Eric J. Bigelow
Robert P. Dick
David M. Krueger
Hidenori Tanaka
302
56
0
15 Nov 2022
Disentangling Variational Autoencoders
Rafael Pastrana
CoGe
DRL
146
4
0
14 Nov 2022
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
CLEaR (CLEaR), 2022
Romain Lopez
Natavsa Tagasovska
Stephen Ra
K. Cho
J. Pritchard
Aviv Regev
OOD
CML
DRL
417
50
0
07 Nov 2022
Temporally Disentangled Representation Learning
Neural Information Processing Systems (NeurIPS), 2022
Weiran Yao
Guangyi Chen
Kun Zhang
CML
BDL
OOD
263
64
0
24 Oct 2022
CLEAR: Generative Counterfactual Explanations on Graphs
Neural Information Processing Systems (NeurIPS), 2022
Jing Ma
Ruocheng Guo
Saumitra Mishra
Aidong Zhang
Jundong Li
CML
OOD
194
62
0
16 Oct 2022
Provable Subspace Identification Under Post-Nonlinear Mixtures
Neural Information Processing Systems (NeurIPS), 2022
Qi Lyu
Xiao Fu
CoGe
208
1
0
14 Oct 2022
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