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On the Identifiability of Nonlinear ICA: Sparsity and Beyond
v1v2v3v4v5 (latest)

On the Identifiability of Nonlinear ICA: Sparsity and Beyond

Neural Information Processing Systems (NeurIPS), 2022
15 June 2022
Yujia Zheng
Ignavier Ng
Kun Zhang
    CML
ArXiv (abs)PDFHTMLGithub (34★)

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

50 / 57 papers shown
Debiasing Reward Models by Representation Learning with Guarantees
Debiasing Reward Models by Representation Learning with Guarantees
Ignavier Ng
Patrick Blobaum
Siddharth Bhandari
Kun Zhang
Shiva Prasad Kasiviswanathan
177
2
0
27 Oct 2025
Thought Communication in Multiagent Collaboration
Thought Communication in Multiagent Collaboration
Yujia Zheng
Zhuokai Zhao
Zijian Li
Yaqi Xie
Mingze Gao
Lizhu Zhang
Kun Zhang
AI4CE
234
9
0
23 Oct 2025
Online Time Series Forecasting with Theoretical Guarantees
Online Time Series Forecasting with Theoretical Guarantees
Zijian Li
Changze Zhou
Minghao Fu
Sanjay Manjunath
Fan Feng
Guangyi Chen
Yingyao Hu
Ruichu Cai
Kun Zhang
AI4TSOOD
214
0
0
21 Oct 2025
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Towards Identifiability of Hierarchical Temporal Causal Representation Learning
Zijian Li
Minghao Fu
Junxian Huang
Yifan Shen
Ruichu Cai
Yuewen Sun
Guangyi Chen
Kun Zhang
CML
271
4
0
21 Oct 2025
Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
Hoang-Son Nguyen
Xiao Fu
CML
324
1
0
19 Oct 2025
CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations
Guangyi Chen
Yunlong Deng
Peiyuan Zhu
Yan Li
Yifan Sheng
Zijian Li
Kun Zhang
CML
251
1
0
15 Oct 2025
Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors
Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors
Zhiwei Han
Stefan Matthes
Hao Shen
CML
190
1
0
06 Oct 2025
Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards
Shaoan Xie
Lingjing Kong
Xiangchen Song
Xinshuai Dong
Guangyi Chen
Eric P.Xing
Kun Zhang
DiffMAI4CELRM
215
6
0
02 Oct 2025
Nonparametric Identification of Latent Concepts
Nonparametric Identification of Latent Concepts
Yujia Zheng
Shaoan Xie
Kun Zhang
454
1
0
30 Sep 2025
Mechanistic Independence: A Principle for Identifiable Disentangled Representations
Mechanistic Independence: A Principle for Identifiable Disentangled Representations
Stefan Matthes
Zhiwei Han
Hao Shen
CML
114
0
0
26 Sep 2025
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits
PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits
Loka Li
Wong Yu Kang
Minghao Fu
Guangyi Chen
Zhenhao Chen
Gongxu Luo
Yuewen Sun
Salman Khan
Peter Spirtes
Kun Zhang
293
1
0
14 Sep 2025
Identifiability of Deep Polynomial Neural Networks
Identifiability of Deep Polynomial Neural Networks
K. Usevich
Clara Dérand
Ricardo Augusto Borsoi
Marianne Clausel
315
8
0
20 Jun 2025
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective
Beatrix M. G. Nielsen
Emanuele Marconato
Andrea Dittadi
Luigi Gresele
355
4
0
04 Jun 2025
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations
Dingling Yao
Shimeng Huang
Riccardo Cadei
Kun Zhang
Francesco Locatello
CML
630
3
0
23 May 2025
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Causal View of Time Series Imputation: Some Identification Results on Missing MechanismInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Ruichu Cai
Kaitao Zheng
Junxian Huang
Zijian Li
Zijian Li
Boyan Xu
Zhifeng Hao
AI4TSCML
403
0
0
12 May 2025
Nonparametric Factor Analysis and Beyond
Nonparametric Factor Analysis and BeyondInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Yujia Zheng
Yang Liu
Jiaxiong Yao
Yingyao Hu
Jianchao Tan
CML
282
2
0
21 Mar 2025
DeCaFlow: A deconfounding causal generative model
DeCaFlow: A deconfounding causal generative model
Alejandro Almodóvar
Adrián Javaloy
J. Parras
Santiago Zazo
Isabel Valera
CML
426
3
0
19 Mar 2025
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
Time Series Domain Adaptation via Latent Invariant Causal Mechanism
Ruichu Cai
Junxian Huang
Zhenhui Yang
Zijian Li
Emadeldeen Eldele
Min Wu
Gang Hua
OODCMLBDLAI4TS
387
1
0
23 Feb 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series ForecastingAAAI Conference on Artificial Intelligence (AAAI), 2025
Ruichu Cai
Haiqin Huang
Zhifang Jiang
Zijian Li
Changze Zhou
Yuequn Liu
Yuming Liu
Zijian Li
AI4TSCML
342
3
0
18 Feb 2025
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
Minghao Fu
Zhen Zhang
Zijian Li
Yujia Zheng
Ignavier Ng
Guangyi Chen
Yingyao Hu
Kun Zhang
CML
381
1
0
21 Jan 2025
Differentiable Causal Discovery For Latent Hierarchical Causal Models
Differentiable Causal Discovery For Latent Hierarchical Causal ModelsInternational Conference on Learning Representations (ICLR), 2024
Parjanya Prashant
Ignavier Ng
Kun Zhang
Zhen Zhang
CML
644
2
0
29 Nov 2024
Learning Identifiable Factorized Causal Representations of Cellular
  Responses
Learning Identifiable Factorized Causal Representations of Cellular ResponsesNeural Information Processing Systems (NeurIPS), 2024
Haiyi Mao
Romain Lopez
Kai Liu
Jan-Christian Huetter
David Richmond
Panayiotis Benos
Lin Qiu
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334
6
0
29 Oct 2024
Causal Representation Learning in Temporal Data via Single-Parent
  Decoding
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
262
9
0
09 Oct 2024
Causal Temporal Representation Learning with Nonstationary Sparse
  Transition
Causal Temporal Representation Learning with Nonstationary Sparse TransitionNeural Information Processing Systems (NeurIPS), 2024
Xiangchen Song
Zijian Li
Guangyi Chen
Yujia Zheng
Yewen Fan
Xinshuai Dong
Kun Zhang
CML
251
11
0
05 Sep 2024
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
On the Identifiability of Sparse ICA without Assuming Non-GaussianityNeural Information Processing Systems (NeurIPS), 2024
Ignavier Ng
Yujia Zheng
Xinshuai Dong
Kun Zhang
CML
330
7
0
19 Aug 2024
Continual Learning of Nonlinear Independent Representations
Continual Learning of Nonlinear Independent Representations
Boyang Sun
Ignavier Ng
Guangyi Chen
Yifan Shen
Qirong Ho
Kun Zhang
OODCML
298
0
0
11 Aug 2024
Learning Discrete Concepts in Latent Hierarchical Models
Learning Discrete Concepts in Latent Hierarchical Models
Lingjing Kong
Guan-Hong Chen
Erdun Gao
Eric P. Xing
Yuejie Chi
Kun Zhang
441
16
0
01 Jun 2024
Identifiability of a statistical model with two latent vectors:
  Importance of the dimensionality relation and application to graph embedding
Identifiability of a statistical model with two latent vectors: Importance of the dimensionality relation and application to graph embedding
Hiroaki Sasaki
CML
241
0
0
30 May 2024
From Orthogonality to Dependency: Learning Disentangled Representation
  for Multi-Modal Time-Series Sensing Signals
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
344
4
0
25 May 2024
On the Identification of Temporally Causal Representation with Instantaneous Dependence
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
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704
13
0
24 May 2024
Tripod: Three Complementary Inductive Biases for Disentangled
  Representation Learning
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
Kyle Hsu
Jubayer Ibn Hamid
Kaylee Burns
Chelsea Finn
Jiajun Wu
CML
330
13
0
16 Apr 2024
Towards the Reusability and Compositionality of Causal Representations
Towards the Reusability and Compositionality of Causal RepresentationsCLEaR (CLEaR), 2024
Davide Talon
Phillip Lippe
Stuart James
Alessio Del Bue
Sara Magliacane
BDLCML
303
8
0
14 Mar 2024
A Sparsity Principle for Partially Observable Causal Representation
  Learning
A Sparsity Principle for Partially Observable Causal Representation LearningInternational Conference on Machine Learning (ICML), 2024
Danru Xu
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Perouz Taslakian
Julius von Kügelgen
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358
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Counterfactual Generation with Identifiability Guarantees
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Hanqi Yan
Lingjing Kong
Lin Gui
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Eric P. Xing
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CMLOOD
280
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23 Feb 2024
Implicit Causal Representation Learning via Switchable Mechanisms
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Shayan Shirahmad Gale Bagi
Zahra Gharaee
Oliver Schulte
Mark Crowley
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427
0
0
16 Feb 2024
Learning Interpretable Concepts: Unifying Causal Representation Learning
  and Foundation Models
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models
Goutham Rajendran
Simon Buchholz
Bryon Aragam
Bernhard Schölkopf
Pradeep Ravikumar
AI4CE
461
33
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Causal Representation Learning from Multiple Distributions: A General
  Setting
Causal Representation Learning from Multiple Distributions: A General Setting
Kun Zhang
Shaoan Xie
Ignavier Ng
Yujia Zheng
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461
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0
07 Feb 2024
Step and Smooth Decompositions as Topological Clustering
Step and Smooth Decompositions as Topological Clustering
Luciano Vinas
Arash A. Amini
209
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0
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Multi-View Causal Representation Learning with Partial Observability
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Dingling Yao
Danru Xu
Sébastien Lachapelle
Sara Magliacane
Perouz Taslakian
Georg Martius
Julius von Kügelgen
Francesco Locatello
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516
63
0
07 Nov 2023
Generalizing Nonlinear ICA Beyond Structural Sparsity
Generalizing Nonlinear ICA Beyond Structural SparsityNeural Information Processing Systems (NeurIPS), 2023
Yujia Zheng
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288
26
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Object-centric architectures enable efficient causal representation
  learning
Object-centric architectures enable efficient causal representation learningInternational Conference on Learning Representations (ICLR), 2023
Amin Mansouri
Jason S. Hartford
Yan Zhang
Yoshua Bengio
CMLOCLOOD
342
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Causal Representation Learning Made Identifiable by Grouping of
  Observational Variables
Causal Representation Learning Made Identifiable by Grouping of Observational VariablesInternational Conference on Machine Learning (ICML), 2023
H. Morioka
Aapo Hyvarinen
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529
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Provable Compositional Generalization for Object-Centric Learning
Provable Compositional Generalization for Object-Centric LearningInternational Conference on Learning Representations (ICLR), 2023
Thaddäus Wiedemer
Jack Brady
Alexander Panfilov
Attila Juhos
Matthias Bethge
Wieland Brendel
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391
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0
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Unsupervised Complex Semi-Binary Matrix Factorization for Activation
  Sequence Recovery of Quasi-Stationary Sources
Unsupervised Complex Semi-Binary Matrix Factorization for Activation Sequence Recovery of Quasi-Stationary SourcesMechanical systems and signal processing (MSSP), 2023
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M. Ghienne
Olivia Penas
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162
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Additive Decoders for Latent Variables Identification and
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On the Identifiability of Quantized Factors
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Identification of Nonlinear Latent Hierarchical Models
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