Title
Disentanglement of Correlated Factors via Hausdorff Factorized SupportInternational Conference on Learning Representations (ICLR), 2022 Karsten Roth Mark Ibrahim Zeynep Akata Pascal Vincent Diane Bouchacourt CML OOD CoGe 223 39 0 13 Oct 2022
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing EnsemblesInternational Conference on Learning Representations (ICLR), 2022 Martin Bjerke Lukas Schott Kristopher T. Jensen Claudia Battistin David A. Klindt Benjamin A. Dunn 182 10 0 06 Oct 2022
Disentanglement with Biological Constraints: A Theory of Functional Cell TypesInternational Conference on Learning Representations (ICLR), 2022 James C. R. Whittington W. Dorrell Surya Ganguli Timothy Edward John Behrens 246 63 0 30 Sep 2022
Interventional Causal Representation LearningInternational Conference on Machine Learning (ICML), 2022 Kartik Ahuja Divyat Mahajan Yixin Wang Yoshua Bengio CML 396 114 0 24 Sep 2022
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions V. T. Trifunov M. Shadaydeh Joachim Denzler CML BDL 241 4 0 23 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 218 1 0 15 Sep 2022
From latent dynamics to meaningful representationsJournal of Chemical Theory and Computation (JCTC), 2022 Dedi Wang Yihang Wang Luke J. Evans P. Tiwary AI4CE 275 12 0 02 Sep 2022
Neuromorphic Visual Scene Understanding with Resonator Networks Alpha Renner Lazar Supic Andreea Danielescu Giacomo Indiveri Bruno A. Olshausen Yulia Sandamirskaya Friedrich T. Sommer E. P. Frady 342 25 0 26 Aug 2022
Function Classes for Identifiable Nonlinear Independent Component AnalysisNeural Information Processing Systems (NeurIPS), 2022 Simon Buchholz M. Besserve Bernhard Schölkopf 178 48 0 12 Aug 2022
Long-term Causal Effects Estimation via Latent Surrogates Representation LearningNeural Networks (NN), 2022 Ruichu Cai Weilin Chen Zeqin Yang Shu Wan Chen Zheng Xiaoqing Yang Jiecheng Guo CML BDL 238 12 0 09 Aug 2022
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed TransitionsInternational Conference on Machine Learning (ICML), 2022 Hamza Keurti Hsiao-Ru Pan M. Besserve Benjamin Grewe Bernhard Schölkopf AI4CE 239 17 0 25 Jul 2022
Partial Disentanglement via Mechanism Sparsity Sébastien Lachapelle Damien Scieur 135 29 0 15 Jul 2022
Probing the Robustness of Independent Mechanism Analysis for Representation Learning Joanna Sliwa Shubhangi Ghosh Vincent Stimper Luigi Gresele Bernhard Schölkopf OOD CML 106 6 0 13 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine LearningEuropean Conference on Computer Vision (ECCV), 2022 Damien Teney Maxime Peyrard Ehsan Abbasnejad 259 32 0 06 Jul 2022
When are Post-hoc Conceptual Explanations Identifiable?Conference on Uncertainty in Artificial Intelligence (UAI), 2022 Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 390 14 0 28 Jun 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive LearningComputer Vision and Pattern Recognition (CVPR), 2022 Cheng Tan Zhangyang Gao Lirong Wu Yongjie Xu Jun Xia Siyuan Li Stan Z. Li 256 158 0 24 Jun 2022
Identifiability of deep generative models without auxiliary informationNeural Information Processing Systems (NeurIPS), 2022 Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 290 61 0 20 Jun 2022
On the Identifiability of Nonlinear ICA: Sparsity and BeyondNeural Information Processing Systems (NeurIPS), 2022 Yujia Zheng Ignavier Ng Kun Zhang CML 308 82 0 15 Jun 2022
Learning Behavior Representations Through Multi-Timescale Bootstrapping Mehdi Azabou Michael J. Mendelson Maks Sorokin S. Thakoor Nauman Ahad Carolina Urzay Eva L. Dyer AI4CE 195 8 0 14 Jun 2022
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component AnalysisInternational Conference on Machine Learning (ICML), 2022 Qi Lyu Xiao Fu CML 104 6 0 14 Jun 2022
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive SystemsInternational Conference on Learning Representations (ICLR), 2022 Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 202 38 0 13 Jun 2022
Causal Balancing for Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2022 Xinyi Wang Michael Stephen Saxon Jiachen Li Hongyang R. Zhang Kun Zhang William Yang Wang OOD CML 266 27 0 10 Jun 2022
An Empirical Study on Disentanglement of Negative-free Contrastive LearningNeural Information Processing Systems (NeurIPS), 2022 Jinkun Cao Ruiqian Nai Qing Yang Jialei Huang Yang Gao CoGe DRL 133 11 0 09 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism AnalysisNeural Information Processing Systems (NeurIPS), 2022 Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 311 26 0 06 Jun 2022
Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength Jiageng Zhu Hanchen Xie Wael AbdAlmageed CML 119 3 0 03 Jun 2022
Weakly Supervised Representation Learning with Sparse PerturbationsNeural Information Processing Systems (NeurIPS), 2022 Kartik Ahuja Jason S. Hartford Yoshua Bengio SSL 235 70 0 02 Jun 2022
Indeterminacy in Generative Models: Characterization and Strong IdentifiabilityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Quanhan Xi Benjamin Bloem-Reddy 316 30 0 02 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 212 7 0 01 Jun 2022
Amortized backward variational inference in nonlinear state-space models Mathis Chagneux Elisabeth Gassiat P. Gloaguen Sylvain Le Corff 168 0 0 01 Jun 2022
GlanceNets: Interpretabile, Leak-proof Concept-based ModelsNeural Information Processing Systems (NeurIPS), 2022 Emanuele Marconato Baptiste Caramiaux Stefano Teso 375 74 0 31 May 2022
Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data Eloy P. T. Geenjaar A. Kashyap N. Lewis Robyn L. Miller Vince D. Calhoun 135 2 0 26 May 2022
Latent-space disentanglement with untrained generator networks for the isolation of different motion types in video dataScale Space and Variational Methods in Computer Vision (SSVM), 2022 Abdullah Abdullah M. Holler K. Kunisch Malena Sabaté Landman DRL 152 1 0 20 May 2022
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social MediaNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Lixing Zhu Zheng Fang Gabriele Pergola Rob Procter Yulan He 146 8 0 06 May 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei Hengguan Huang Xiangming Gu Hao Wang Ye Wang BDL 275 0 0 05 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-AwarenessJournal of machine learning research (JMLR), 2022 J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 452 62 0 01 May 2022
Towards efficient representation identification in supervised learningCLEaR (CLEaR), 2022 Kartik Ahuja Divyat Mahajan Vasilis Syrgkanis Ioannis Mitliagkas CoGe OOD DRL 181 20 0 10 Apr 2022
Provable concept learning for interpretable predictions using variational autoencoders Armeen Taeb Nicolò Ruggeri Carina Schnuck Fanny Yang 234 7 0 01 Apr 2022
Weakly supervised causal representation learningNeural Information Processing Systems (NeurIPS), 2022 Johann Brehmer P. D. Haan Phillip Lippe Taco S. Cohen OOD CML 345 148 0 30 Mar 2022
Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare Jana Fragemann Lynton Ardizzone Jan Egger Jens Kleesiek DRL MedIm 134 13 0 21 Mar 2022
ZIN: When and How to Learn Invariance Without Environment Partition?Neural Information Processing Systems (NeurIPS), 2022 Yong Lin Shengyu Zhu Lu Tan Peng Cui OOD CML 220 75 0 11 Mar 2022
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution GeneralizationNeural Information Processing Systems (NeurIPS), 2022 Weijia Zhang Xuanhui Zhang Hanwen Deng Min-Ling Zhang 246 28 0 25 Feb 2022
On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective" Shubhangi Ghosh Luigi Gresele Julius von Kügelgen M. Besserve Bernhard Schölkopf CML 180 0 0 14 Feb 2022
Learning Latent Causal Dynamics Weiran Yao Guan-Hong Chen Kun Zhang OOD CML OffRL 229 16 0 10 Feb 2022
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAEInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Young-geun Kim Wenshu Fan Xue Wei OOD CML 248 2 0 09 Feb 2022
CITRIS: Causal Identifiability from Temporal Intervened SequencesInternational Conference on Machine Learning (ICML), 2022 Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 359 120 0 07 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement Xiaoting Shao Karl Stelzner Kristian Kersting CML DRL 197 3 0 01 Feb 2022
Reproducible, incremental representation learning with Rosetta VAE Miles Martinez John M. Pearson DRL 96 1 0 13 Jan 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 218 7 0 29 Dec 2021
Binary Independent Component Analysis: A Non-stationarity-based Approach Antti Hyttinen Vitória Barin Pacela Aapo Hyvarinen CML 127 6 0 30 Nov 2021
A Normative and Biologically Plausible Algorithm for Independent Component Analysis Yanis Bahroun D. Chklovskii Anirvan M. Sengupta 146 12 0 17 Nov 2021

1 2 3 4 5 6 7 8 9

Home
Papers
1907.04809
Cited By

v1v2v3v4 (latest)

Variational Autoencoders and Nonlinear ICA: A Unifying Framework

International Conference on Artificial Intelligence and Statistics (AISTATS), 2019

10 July 2019

Papers citing "Variational Autoencoders and Nonlinear ICA: A Unifying Framework"

50 / 402 papers shown

Title
Disentanglement of Correlated Factors via Hausdorff Factorized SupportInternational Conference on Learning Representations (ICLR), 2022 Karsten Roth Mark Ibrahim Zeynep Akata Pascal Vincent Diane Bouchacourt CML OOD CoGe 223 39 0 13 Oct 2022
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing EnsemblesInternational Conference on Learning Representations (ICLR), 2022 Martin Bjerke Lukas Schott Kristopher T. Jensen Claudia Battistin David A. Klindt Benjamin A. Dunn 182 10 0 06 Oct 2022
Disentanglement with Biological Constraints: A Theory of Functional Cell TypesInternational Conference on Learning Representations (ICLR), 2022 James C. R. Whittington W. Dorrell Surya Ganguli Timothy Edward John Behrens 246 63 0 30 Sep 2022
Interventional Causal Representation LearningInternational Conference on Machine Learning (ICML), 2022 Kartik Ahuja Divyat Mahajan Yixin Wang Yoshua Bengio CML 396 114 0 24 Sep 2022
Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions V. T. Trifunov M. Shadaydeh Joachim Denzler CML BDL 241 4 0 23 Sep 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 218 1 0 15 Sep 2022
From latent dynamics to meaningful representationsJournal of Chemical Theory and Computation (JCTC), 2022 Dedi Wang Yihang Wang Luke J. Evans P. Tiwary AI4CE 275 12 0 02 Sep 2022
Neuromorphic Visual Scene Understanding with Resonator Networks Alpha Renner Lazar Supic Andreea Danielescu Giacomo Indiveri Bruno A. Olshausen Yulia Sandamirskaya Friedrich T. Sommer E. P. Frady 342 25 0 26 Aug 2022
Function Classes for Identifiable Nonlinear Independent Component AnalysisNeural Information Processing Systems (NeurIPS), 2022 Simon Buchholz M. Besserve Bernhard Schölkopf 178 48 0 12 Aug 2022
Long-term Causal Effects Estimation via Latent Surrogates Representation LearningNeural Networks (NN), 2022 Ruichu Cai Weilin Chen Zeqin Yang Shu Wan Chen Zheng Xiaoqing Yang Jiecheng Guo CML BDL 238 12 0 09 Aug 2022
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed TransitionsInternational Conference on Machine Learning (ICML), 2022 Hamza Keurti Hsiao-Ru Pan M. Besserve Benjamin Grewe Bernhard Schölkopf AI4CE 239 17 0 25 Jul 2022
Partial Disentanglement via Mechanism Sparsity Sébastien Lachapelle Damien Scieur 135 29 0 15 Jul 2022
Probing the Robustness of Independent Mechanism Analysis for Representation Learning Joanna Sliwa Shubhangi Ghosh Vincent Stimper Luigi Gresele Bernhard Schölkopf OOD CML 106 6 0 13 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine LearningEuropean Conference on Computer Vision (ECCV), 2022 Damien Teney Maxime Peyrard Ehsan Abbasnejad 259 32 0 06 Jul 2022
When are Post-hoc Conceptual Explanations Identifiable?Conference on Uncertainty in Artificial Intelligence (UAI), 2022 Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 390 14 0 28 Jun 2022
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive LearningComputer Vision and Pattern Recognition (CVPR), 2022 Cheng Tan Zhangyang Gao Lirong Wu Yongjie Xu Jun Xia Siyuan Li Stan Z. Li 256 158 0 24 Jun 2022
Identifiability of deep generative models without auxiliary informationNeural Information Processing Systems (NeurIPS), 2022 Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 290 61 0 20 Jun 2022
On the Identifiability of Nonlinear ICA: Sparsity and BeyondNeural Information Processing Systems (NeurIPS), 2022 Yujia Zheng Ignavier Ng Kun Zhang CML 308 82 0 15 Jun 2022
Learning Behavior Representations Through Multi-Timescale Bootstrapping Mehdi Azabou Michael J. Mendelson Maks Sorokin S. Thakoor Nauman Ahad Carolina Urzay Eva L. Dyer AI4CE 195 8 0 14 Jun 2022
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component AnalysisInternational Conference on Machine Learning (ICML), 2022 Qi Lyu Xiao Fu CML 104 6 0 14 Jun 2022
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive SystemsInternational Conference on Learning Representations (ICLR), 2022 Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 202 38 0 13 Jun 2022
Causal Balancing for Domain GeneralizationInternational Conference on Learning Representations (ICLR), 2022 Xinyi Wang Michael Stephen Saxon Jiachen Li Hongyang R. Zhang Kun Zhang William Yang Wang OOD CML 266 27 0 10 Jun 2022
An Empirical Study on Disentanglement of Negative-free Contrastive LearningNeural Information Processing Systems (NeurIPS), 2022 Jinkun Cao Ruiqian Nai Qing Yang Jialei Huang Yang Gao CoGe DRL 133 11 0 09 Jun 2022
Embrace the Gap: VAEs Perform Independent Mechanism AnalysisNeural Information Processing Systems (NeurIPS), 2022 Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 311 26 0 06 Jun 2022
Do-Operation Guided Causal Representation Learning with Reduced Supervision Strength Jiageng Zhu Hanchen Xie Wael AbdAlmageed CML 119 3 0 03 Jun 2022
Weakly Supervised Representation Learning with Sparse PerturbationsNeural Information Processing Systems (NeurIPS), 2022 Kartik Ahuja Jason S. Hartford Yoshua Bengio SSL 235 70 0 02 Jun 2022
Indeterminacy in Generative Models: Characterization and Strong IdentifiabilityInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Quanhan Xi Benjamin Bloem-Reddy 316 30 0 02 Jun 2022
Top-down inference in an early visual cortex inspired hierarchical Variational Autoencoder F. Csikor B. Meszéna Bence Szabó Gergő Orbán BDL DRL 212 7 0 01 Jun 2022
Amortized backward variational inference in nonlinear state-space models Mathis Chagneux Elisabeth Gassiat P. Gloaguen Sylvain Le Corff 168 0 0 01 Jun 2022
GlanceNets: Interpretabile, Leak-proof Concept-based ModelsNeural Information Processing Systems (NeurIPS), 2022 Emanuele Marconato Baptiste Caramiaux Stefano Teso 375 74 0 31 May 2022
Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data Eloy P. T. Geenjaar A. Kashyap N. Lewis Robyn L. Miller Vince D. Calhoun 135 2 0 26 May 2022
Latent-space disentanglement with untrained generator networks for the isolation of different motion types in video dataScale Space and Variational Methods in Computer Vision (SSVM), 2022 Abdullah Abdullah M. Holler K. Kunisch Malena Sabaté Landman DRL 152 1 0 20 May 2022
Disentangled Learning of Stance and Aspect Topics for Vaccine Attitude Detection in Social MediaNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Lixing Zhu Zheng Fang Gabriele Pergola Rob Procter Yulan He 146 8 0 06 May 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei Hengguan Huang Xiangming Gu Hao Wang Ye Wang BDL 275 0 0 05 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-AwarenessJournal of machine learning research (JMLR), 2022 J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 452 62 0 01 May 2022
Towards efficient representation identification in supervised learningCLEaR (CLEaR), 2022 Kartik Ahuja Divyat Mahajan Vasilis Syrgkanis Ioannis Mitliagkas CoGe OOD DRL 181 20 0 10 Apr 2022
Provable concept learning for interpretable predictions using variational autoencoders Armeen Taeb Nicolò Ruggeri Carina Schnuck Fanny Yang 234 7 0 01 Apr 2022
Weakly supervised causal representation learningNeural Information Processing Systems (NeurIPS), 2022 Johann Brehmer P. D. Haan Phillip Lippe Taco S. Cohen OOD CML 345 148 0 30 Mar 2022
Review of Disentanglement Approaches for Medical Applications -- Towards Solving the Gordian Knot of Generative Models in Healthcare Jana Fragemann Lynton Ardizzone Jan Egger Jens Kleesiek DRL MedIm 134 13 0 21 Mar 2022
ZIN: When and How to Learn Invariance Without Environment Partition?Neural Information Processing Systems (NeurIPS), 2022 Yong Lin Shengyu Zhu Lu Tan Peng Cui OOD CML 220 75 0 11 Mar 2022
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution GeneralizationNeural Information Processing Systems (NeurIPS), 2022 Weijia Zhang Xuanhui Zhang Hanwen Deng Min-Ling Zhang 246 28 0 25 Feb 2022
On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective" Shubhangi Ghosh Luigi Gresele Julius von Kügelgen M. Besserve Bernhard Schölkopf CML 180 0 0 14 Feb 2022
Learning Latent Causal Dynamics Weiran Yao Guan-Hong Chen Kun Zhang OOD CML OffRL 229 16 0 10 Feb 2022
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAEInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Young-geun Kim Wenshu Fan Xue Wei OOD CML 248 2 0 09 Feb 2022
CITRIS: Causal Identifiability from Temporal Intervened SequencesInternational Conference on Machine Learning (ICML), 2022 Phillip Lippe Sara Magliacane Sindy Löwe Yuki M. Asano Taco S. Cohen E. Gavves CML 359 120 0 07 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement Xiaoting Shao Karl Stelzner Kristian Kersting CML DRL 197 3 0 01 Feb 2022
Reproducible, incremental representation learning with Rosetta VAE Miles Martinez John M. Pearson DRL 96 1 0 13 Jan 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 218 7 0 29 Dec 2021
Binary Independent Component Analysis: A Non-stationarity-based Approach Antti Hyttinen Vitória Barin Pacela Aapo Hyvarinen CML 127 6 0 30 Nov 2021
A Normative and Biologically Plausible Algorithm for Independent Component Analysis Yanis Bahroun D. Chklovskii Anirvan M. Sengupta 146 12 0 17 Nov 2021

1 2 3 4 5 6 7 8 9