On the Identifiability of Nonlinear ICA: Sparsity and Beyond

15 June 2022

Papers citing "On the Identifiability of Nonlinear ICA: Sparsity and Beyond"

42 / 42 papers shown

Title
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism Ruichu Cai Kaitao Zheng Junxian Huang Zijian Li Zhengming Chen Boyan Xu Zhifeng Hao AI4TS CML 31 0 0 12 May 2025
Nonparametric Factor Analysis and Beyond Yujia Zheng Yang Liu Jiaxiong Yao Yingyao Hu Kaipeng Zhang CML 40 0 0 21 Mar 2025
DeCaFlow: A Deconfounding Causal Generative Model Alejandro Almodóvar Adrián Javaloy J. Parras Santiago Zazo Isabel Valera CML 39 0 0 19 Mar 2025
Time Series Domain Adaptation via Latent Invariant Causal Mechanism Ruichu Cai Junxian Huang Zhenhui Yang Zijian Li Emadeldeen Eldele Min Wu Gang Hua OOD CML BDL AI4TS 54 0 0 23 Feb 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting Ruichu Cai Haiqin Huang Zhifang Jiang Zijian Li Changze Zhou Yuequn Liu Yuming Liu Zhifeng Hao AI4TS CML 58 1 0 18 Feb 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Zhen Zhang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Anton van den Hengel CML 50 0 0 21 Jan 2025
Differentiable Causal Discovery For Latent Hierarchical Causal Models Parjanya Prashant Ignavier Ng Anton van den Hengel Zhen Zhang CML 190 0 0 29 Nov 2024
Learning Identifiable Factorized Causal Representations of Cellular Responses Haiyi Mao Romain Lopez Kai Liu Jan-Christian Huetter David Richmond Panayiotis Benos Lin Qiu CML 27 3 0 29 Oct 2024
Causal Representation Learning in Temporal Data via Single-Parent Decoding Philippe Brouillard Sébastien Lachapelle Julia Kaltenborn Yaniv Gurwicz Dhanya Sridhar Alexandre Drouin Peer Nowack Jakob Runge David Rolnick CML 37 3 0 09 Oct 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition Xiangchen Song Zijian Li Guangyi Chen Yujia Zheng Yewen Fan Xinshuai Dong Kun Zhang CML 36 2 0 05 Sep 2024
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity Ignavier Ng Yujia Zheng Xinshuai Dong Kun Zhang CML 37 5 0 19 Aug 2024
Continual Learning of Nonlinear Independent Representations Boyang Sun Ignavier Ng Guangyi Chen Yifan Shen Qirong Ho Kun Zhang OOD CML 45 0 0 11 Aug 2024
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding Hiroaki Sasaki CML 33 0 0 30 May 2024
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals Ruichu Cai Zhifan Jiang Zijian Li Weilin Chen Xuexin Chen Zhifeng Hao Yifan Shen Guan-Hong Chen Kun Zhang 40 1 0 25 May 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence Zijian Li Yifan Shen Kaitao Zheng Ruichu Cai Xiangchen Song Biwei Huang Zhengmao Zhu Guan-Hong Chen Kun Zhang CML 29 5 0 24 May 2024
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning Kyle Hsu Jubayer Ibn Hamid Kaylee Burns Chelsea Finn Jiajun Wu CML 26 4 0 16 Apr 2024
Towards the Reusability and Compositionality of Causal Representations Davide Talon Phillip Lippe Stuart James Alessio Del Bue Sara Magliacane BDL CML 41 4 0 14 Mar 2024
A Sparsity Principle for Partially Observable Causal Representation Learning Danru Xu Dingling Yao Sébastien Lachapelle Perouz Taslakian Julius von Kügelgen Francesco Locatello Sara Magliacane CML 46 13 0 13 Mar 2024
Counterfactual Generation with Identifiability Guarantees Hanqi Yan Lingjing Kong Lin Gui Yuejie Chi Eric P. Xing Yulan He Anton van den Hengel CML OOD 48 7 0 23 Feb 2024
Implicit Causal Representation Learning via Switchable Mechanisms Shayan Shirahmad Gale Bagi Zahra Gharaee Oliver Schulte Mark Crowley CML 49 0 0 16 Feb 2024
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models Goutham Rajendran Simon Buchholz Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar AI4CE 91 21 0 14 Feb 2024
Causal Representation Learning from Multiple Distributions: A General Setting Anton van den Hengel Shaoan Xie Ignavier Ng Yujia Zheng CML OOD 29 18 0 07 Feb 2024
Step and Smooth Decompositions as Topological Clustering Luciano Vinas Arash A. Amini 14 0 0 09 Nov 2023
Multi-View Causal Representation Learning with Partial Observability Dingling Yao Danru Xu Sébastien Lachapelle Sara Magliacane Perouz Taslakian Georg Martius Julius von Kügelgen Francesco Locatello CML 42 30 0 07 Nov 2023
Generalizing Nonlinear ICA Beyond Structural Sparsity Yujia Zheng Anton van den Hengel CML 28 16 0 01 Nov 2023
Object-centric architectures enable efficient causal representation learning Amin Mansouri Jason S. Hartford Yan Zhang Yoshua Bengio CML OCL OOD 29 15 0 29 Oct 2023
Causal Representation Learning Made Identifiable by Grouping of Observational Variables H. Morioka Aapo Hyvarinen OOD CML BDL 33 9 0 24 Oct 2023
Provable Compositional Generalization for Object-Centric Learning Thaddäus Wiedemer Jack Brady Alexander Panfilov Attila Juhos Matthias Bethge Wieland Brendel OCL 32 17 0 09 Oct 2023
Unsupervised Complex Semi-Binary Matrix Factorization for Activation Sequence Recovery of Quasi-Stationary Sources Romain Delabeye M. Ghienne Olivia Penas Jean-Luc Dion 11 1 0 03 Oct 2023
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation Sébastien Lachapelle Divyat Mahajan Ioannis Mitliagkas Simon Lacoste-Julien 42 25 0 05 Jul 2023
On the Identifiability of Quantized Factors Vitória Barin Pacela Kartik Ahuja Simon Lacoste-Julien Pascal Vincent OOD CML 23 1 0 28 Jun 2023
Identification of Nonlinear Latent Hierarchical Models Lingjing Kong Erdun Gao Feng Xie Eric P. Xing Yuejie Chi Anton van den Hengel CML 32 19 0 13 Jun 2023
Learning World Models with Identifiable Factorization Yu-Ren Liu Erdun Gao Zhengmao Zhu Hong Tian Biwei Huang Yang Yu Anton van den Hengel CML OffRL 42 12 0 11 Jun 2023
Understanding Masked Autoencoders via Hierarchical Latent Variable Models Lingjing Kong Martin Q. Ma Guan-Hong Chen Eric P. Xing Yuejie Chi Louis-Philippe Morency Anton van den Hengel 17 30 0 08 Jun 2023
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Simon Buchholz Goutham Rajendran Elan Rosenfeld Bryon Aragam Bernhard Schölkopf Pradeep Ravikumar CML 34 58 0 04 Jun 2023
Disentanglement via Latent Quantization Kyle Hsu W. Dorrell James C. R. Whittington Jiajun Wu Chelsea Finn DRL 26 25 0 28 May 2023
Provably Learning Object-Centric Representations Jack Brady Roland S. Zimmermann Yash Sharma Bernhard Schölkopf Julius von Kügelgen Wieland Brendel OCL 33 31 0 23 May 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning Sébastien Lachapelle T. Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Simon Lacoste-Julien Quentin Bertrand 26 32 0 26 Nov 2022
Whole Page Unbiased Learning to Rank Haitao Mao Lixin Zou Yujia Zheng Jiliang Tang Xiaokai Chu Jiashu Zhao Qian Wang Dawei Yin CML 10 4 0 19 Oct 2022
Function Classes for Identifiable Nonlinear Independent Component Analysis Simon Buchholz M. Besserve Bernhard Schölkopf 41 36 0 12 Aug 2022
Embrace the Gap: VAEs Perform Independent Mechanism Analysis Patrik Reizinger Luigi Gresele Jack Brady Julius von Kügelgen Dominik Zietlow Bernhard Schölkopf Georg Martius Wieland Brendel M. Besserve DRL 35 19 0 06 Jun 2022
Indeterminacy in Generative Models: Characterization and Strong Identifiability Quanhan Xi Benjamin Bloem-Reddy 16 22 0 02 Jun 2022