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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
Self-sufficient Independent Component Analysis via KL Minimizing Flows Song Liu 8 0 0 29 Nov 2025
DIVIDE: A Framework for Learning from Independent Multi-Mechanism Data Using Deep Encoders and Gaussian Processes Vivek Chawla B. Slautin Utkarsh Pratiush Dayakar Penumadu Sergei V. Kalinin DRL 164 0 0 16 Nov 2025
Understanding Hardness of Vision-Language Compositionality from A Token-level Causal Lens Ziliang Chen Tianang Xiao Jusheng Zhang Yongsen Zheng Xipeng Chen CLIP 92 0 0 30 Oct 2025
scMRDR: A scalable and flexible framework for unpaired single-cell multi-omics data integration Jianle Sun Chaoqi Liang Ran Wei Peng Zheng Wenlong Zhang W. Ouyang Hongliang Yan Peng Ye 48 2 0 28 Oct 2025
Debiasing Reward Models by Representation Learning with Guarantees Ignavier Ng Patrick Blobaum Siddharth Bhandari Kun Zhang Shiva Prasad Kasiviswanathan 124 1 0 27 Oct 2025
Thought Communication in Multiagent Collaboration Yujia Zheng Zhuokai Zhao Zijian Li Yaqi Xie Mingze Gao Lizhu Zhang Kun Zhang AI4CE 133 2 0 23 Oct 2025
InvarGC: Invariant Granger Causality for Heterogeneous Interventional Time Series under Latent Confounding Ziyi Zhang Shaogang Ren Xiaoning Qian N. Duffield 93 0 0 22 Oct 2025
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 AI4TS OOD 132 0 0 21 Oct 2025
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 214 0 0 21 Oct 2025
Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability Hoang-Son Nguyen Xiao Fu CML 231 1 0 19 Oct 2025
On the identifiability of causal graphs with multiple environments Francesco Montagna CML 243 0 0 15 Oct 2025
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 141 0 0 15 Oct 2025
Randomness from causally independent processes Martin Sandfuchs Carla Ferradini R. Renner CML 147 0 0 06 Oct 2025
Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Zhiwei Han Stefan Matthes Hao Shen CML 113 0 0 06 Oct 2025
From Pixels to Factors: Learning Independently Controllable State Variables for Reinforcement Learning Rafael Rodríguez-Sánchez Cameron Allen George Konidaris OffRL 121 2 0 02 Oct 2025
On the Identifiability of Latent Action Policies Sébastien Lachapelle 56 0 0 01 Oct 2025
Nonparametric Identification of Latent Concepts Yujia Zheng Shaoan Xie Kun Zhang 183 1 0 30 Sep 2025
Understanding Catastrophic Interference: On the Identifibility of Latent Representations Yuke Li Yujia Zheng Tianyi Xiong Zhenyi Wang Tianyi Zhou 239 0 0 27 Sep 2025
Mechanistic Independence: A Principle for Identifiable Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen CML 54 0 0 26 Sep 2025
Near-Optimal Experiment Design in Linear non-Gaussian Cyclic Models Ehsan Sharifian Saber Salehkaleybar Negar Kiyavash CML 118 0 0 25 Sep 2025
Towards Causal Representation Learning with Observable Sources as Auxiliaries Kwonho Kim Heejeong Nam Inwoo Hwang Sanghack Lee CML 153 1 0 23 Sep 2025
Identifiable Autoregressive Variational Autoencoders for Nonlinear and Nonstationary Spatio-Temporal Blind Source Separation Mika Sipilä K. Nordhausen S. Taskinen 52 0 0 15 Sep 2025
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 148 0 0 14 Sep 2025
A Primer on Causal and Statistical Dataset Biases for Fair and Robust Image Analysis Charles Jones Ben Glocker CML FaML 200 0 0 04 Sep 2025
PMODE: Theoretically Grounded and Modular Mixture Modeling Robert A. Vandermeulen MoE 115 0 0 29 Aug 2025
Structured Kernel Regression VAE: A Computationally Efficient Surrogate for GP-VAEs in ICA Yuan-Hao Wei Fu-Hao Deng Lin-Yong Cui Yan-Jie Sun CML 122 0 0 13 Aug 2025
FairDRL-ST: Disentangled Representation Learning for Fair Spatio-Temporal Mobility Prediction Sichen Zhao Wei Shao J. Chan Ziqi Xu Flora D. Salim 122 1 0 11 Aug 2025
Structural Equation-VAE: Disentangled Latent Representations for Tabular Data Ruiyu Zhang Ce Zhao Xin Zhao Lin Nie Wai-Fung Lam DRL CML CoGe 245 0 0 08 Aug 2025
Learning Robust Intervention Representations with Delta Embeddings Panagiotis Alimisis Christos Diou OOD CML 128 0 0 06 Aug 2025
Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning Tianjiao Jiang Zhen Zhang Y. Liu J. Q. Shi 165 1 0 05 Aug 2025
Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction Yahia Dalbah Marcel Worring Yen-Chia Hsu 40 0 0 01 Aug 2025
SmartCLIP: Modular Vision-language Alignment with Identification GuaranteesComputer Vision and Pattern Recognition (CVPR), 2025 Shaoan Xie Lingjing Kong Yujia Zheng Yu Yao Zeyu Tang Eric Xing Guangyi Chen Kun Zhang VLM 198 3 0 29 Jul 2025
Estimating Treatment Effects with Independent Component Analysis Patrik Reizinger Lester Mackey Wieland Brendel Rahul Krishnan CML 128 0 0 22 Jul 2025
Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning Patrik Reizinger Bálint Mucsányi Siyuan Guo Benjamin Eysenbach Bernhard Schölkopf Wieland Brendel SSL 162 1 0 19 Jul 2025
Unfolding Generative Flows with Koopman Operators: Fast and Interpretable Sampling Erkan Turan Aristotelis Siozopoulos Louis Martinez Julien Gaubil E. Pierson M. Ovsjanikov 160 1 0 27 Jun 2025
Causal Representation Learning with Observational Grouping for CXR Classification Rajat Rasal Avinash Kori Ben Glocker OOD CML 233 0 0 25 Jun 2025
Identifiability of Deep Polynomial Neural Networks K. Usevich Clara Dérand Ricardo Augusto Borsoi Marianne Clausel 183 3 0 20 Jun 2025
Causal Climate Emulation with Bayesian Filtering Sebastian Hickman Ilija Trajkovic Julia Kaltenborn Francis Pelletier Alex Archibald Yaniv Gurwicz Peer Nowack David Rolnick Julien Boussard 234 1 0 11 Jun 2025
Identifiable Object Representations under Spatial Ambiguities Avinash Kori Francesca Toni Ben Glocker OCL 182 0 0 09 Jun 2025
Diffusion Counterfactual Generation with Semantic Abduction Rajat Rasal Avinash Kori Fabio De Sousa Ribeiro Tian Xia Ben Glocker DiffM 208 3 0 09 Jun 2025
Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis Yuan-Hao Wei Yan-Jie Sun 161 1 0 08 Jun 2025
When Does Closeness in Distribution Imply Representational Similarity? An Identifiability Perspective Beatrix M. G. Nielsen Emanuele Marconato Andrea Dittadi Luigi Gresele 207 2 0 04 Jun 2025
Learning Treatment Representations for Downstream Instrumental Variable Regression Shiangyi Lin Hui Lan Vasilis Syrgkanis CML 241 0 0 02 Jun 2025
Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach Yuting Huang Ziquan Fang Zhihao Zeng Lu Chen Yunjun Gao 433 1 0 23 May 2025
Causality-Inspired Robustness for Nonlinear Models via Representation Learning Marin Šola Peter Bühlmann Xinwei Shen OOD 274 2 0 19 May 2025
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2025 Xinyue Wang Zhen Zhang OffRL CML 197 0 0 13 May 2025
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 AI4TS CML 321 0 0 12 May 2025
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Ruichu Cai Junjie Wan Weilin Chen Zeqin Yang Zijian Li Peng Zhen Jiecheng Guo CML 442 1 0 08 May 2025
Contextures: Representations from Contexts Runtian Zhai Kai Yang Che-Ping Tsai Burak Varici Zico Kolter Pradeep Ravikumar 919 1 0 02 May 2025
Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research Patrik Reizinger Randall Balestriero David Klindt Wieland Brendel 587 2 0 17 Apr 2025