{"total":51,"rows":[{"id":"2306.00542","title":"Nonparametric Identifiability of Causal Representations from Unknown Interventions","created":"2023-06-01","cited_by_count":106,"area":null},{"id":"2305.17225","title":"Causal Component Analysis","created":"2023-05-26","cited_by_count":56,"area":null},{"id":"2301.08230","title":"Score-based Causal Representation Learning with Interventions","created":"2023-01-19","cited_by_count":49,"area":null},{"id":"2403.08335","title":"A Sparsity Principle for Partially Observable Causal Representation Learning","created":"2024-03-13","cited_by_count":35,"area":null},{"id":"2306.02899","title":"Learning nonparametric latent causal graphs with unknown interventions","created":"2023-06-05","cited_by_count":34,"area":null},{"id":"2411.10634","title":"Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data","created":"2024-11-15","cited_by_count":25,"area":null},{"id":"2307.01452","title":"Causal Reinforcement Learning: A Survey","created":"2023-07-04","cited_by_count":23,"area":null},{"id":"2311.02695","title":"Identifying Linearly-Mixed Causal Representations from Multi-Node Interventions","created":"2023-11-05","cited_by_count":18,"area":null},{"id":"2309.16483","title":"Rethinking Domain Generalization: Discriminability and Generalizability","created":"2023-09-28","cited_by_count":16,"area":null},{"id":"2406.14302","title":"Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning","created":"2024-06-20","cited_by_count":16,"area":null},{"id":"2504.11609","title":"Towards Interpretable Deep Generative Models via Causal Representation Learning","created":"2025-04-15","cited_by_count":13,"area":null},{"id":"2406.13371","title":"Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment","created":"2024-06-19","cited_by_count":12,"area":null},{"id":"2310.07665","title":"Deep Backtracking Counterfactuals for Causally Compliant Explanations","created":"2023-10-11","cited_by_count":9,"area":null},{"id":"2311.18048","title":"An Interventional Perspective on Identifiability in Gaussian LTI Systems with Independent Component Analysis","created":"2023-11-29","cited_by_count":9,"area":null},{"id":"2312.06091","title":"Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data","created":"2023-12-11","cited_by_count":7,"area":null},{"id":"2303.03181","title":"MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning","created":"2023-03-06","cited_by_count":6,"area":null},{"id":"2501.10235","title":"SpaceTime: Causal Discovery from Non-Stationary Time Series","created":"2025-01-17","cited_by_count":6,"area":null},{"id":"2302.05380","title":"On the Interventional Kullback-Leibler Divergence","created":"2023-02-10","cited_by_count":5,"area":null},{"id":"2306.17361","title":"iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models","created":"2023-06-30","cited_by_count":5,"area":null},{"id":"2304.07896","title":"Out-of-Variable Generalization for Discriminative Models","created":"2023-04-16","cited_by_count":4,"area":null},{"id":"2504.21261","title":"Multi-Domain Causal Discovery in Bijective Causal Models","created":"2025-04-30","cited_by_count":4,"area":null},{"id":"2208.14989","title":"Learning Multiscale Non-stationary Causal Structures","created":"2022-08-31","cited_by_count":3,"area":null},{"id":"2409.17840","title":"Detecting and Measuring Confounding Using Causal Mechanism Shifts","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2502.04210","title":"Algorithmic causal structure emerging through compression","created":"2025-02-06","cited_by_count":3,"area":null},{"id":"2502.06231","title":"Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms","created":"2025-02-10","cited_by_count":3,"area":null},{"id":"2603.14575","title":"CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad","created":"2026-03-15","cited_by_count":3,"area":null},{"id":"2309.10399","title":"Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results","created":"2023-09-19","cited_by_count":2,"area":null},{"id":"2505.01037","title":"Characterization and Learning of Causal Graphs from Hard Interventions","created":"2025-05-02","cited_by_count":2,"area":null},{"id":"2505.24149","title":"RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget","created":"2025-05-30","cited_by_count":2,"area":null},{"id":"2506.11756","title":"Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments","created":"2025-06-13","cited_by_count":2,"area":null},{"id":"2507.07359","title":"Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning","created":"2025-07-10","cited_by_count":2,"area":null},{"id":"2601.00200","title":"Detecting Unobserved Confounders: A Kernelized Regression Approach","created":"2026-01-01","cited_by_count":2,"area":null},{"id":"2306.14861","title":"Leveraging Task Structures for Improved Identifiability in Neural Network Representations","created":"2023-06-26","cited_by_count":1,"area":null},{"id":"2311.00118","title":"Extracting the Multiscale Causal Backbone of Brain Dynamics","created":"2023-10-31","cited_by_count":1,"area":null},{"id":"2509.04415","title":"Interpretable Clustering with Adaptive Heterogeneous Causal Structure Learning in Mixed Observational Data","created":"2025-09-04","cited_by_count":1,"area":null},{"id":"2601.05647","title":"Transformer Is Inherently a Causal Learner","created":"2026-01-09","cited_by_count":1,"area":null},{"id":"2601.17869","title":"On the Emergence and Test-Time Use of Structural Information in Large Language Models","created":"2026-01-25","cited_by_count":1,"area":null},{"id":"2603.18404","title":"Multi-Domain Empirical Bayes for Linearly-Mixed Causal Representations","created":"2026-03-19","cited_by_count":1,"area":null},{"id":"2605.27163","title":"The Role of Causal Features in Strategic Classification for Robustness and Alignment","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2606.01789","title":"Consistency evaluation of benchmarks used for causal discovery","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2402.11124","title":"Implicit Causal Representation Learning via Switchable Mechanisms","created":"2024-02-16","cited_by_count":0,"area":null},{"id":"2510.13583","title":"On the Identifiability of Causal Graphs with the Invariance Principle","created":"2025-10-15","cited_by_count":0,"area":null},{"id":"2601.23026","title":"Root Cause Analysis of Measurement and Mechanistic Anomalies","created":"2026-01-30","cited_by_count":0,"area":null},{"id":"2605.03268","title":"Partially Observed Structural Causal Models","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.13589","title":"Causal Learning with the Invariance Principle","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2605.25211","title":"Evolving Causal Regulatory Networks (ECR-Net)","created":"2026-05-24","cited_by_count":0,"area":null},{"id":"2606.06288","title":"Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2606.18834","title":"Identifying Structural Biases from Causal Mechanism Shifts","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2607.12145","title":"Falsifying Causal Graphs With Outlier Events","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2610.00012","title":"When Do Causal World Models Help Modular LLM Agents","created":"2026-07-12","cited_by_count":0,"area":null},{"id":"2610.06021","title":"Scalable Minimal-Change Learning for Controllable Image Editing","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}