{"total":44,"rows":[{"id":"2210.13647","title":"Temporally Disentangled Representation Learning","created":"2022-10-24","cited_by_count":61,"area":null},{"id":"2303.10112","title":"Causal Discovery from Temporal Data: An Overview and New Perspectives","created":"2023-03-17","cited_by_count":43,"area":null},{"id":"2102.05829","title":"Causal Inference for Time series Analysis: Problems, Methods and Evaluation","created":"2021-02-11","cited_by_count":42,"area":null},{"id":"2305.13341","title":"Discovering Causal Relations and Equations from Data","created":"2023-05-21","cited_by_count":36,"area":null},{"id":"2208.14153","title":"Identifying Weight-Variant Latent Causal Models","created":"2022-08-30","cited_by_count":34,"area":null},{"id":"2110.05721","title":"Action-Sufficient State Representation Learning for Control with Structural Constraints","created":"2021-10-12","cited_by_count":31,"area":null},{"id":"2302.04178","title":"DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets","created":"2023-02-08","cited_by_count":27,"area":null},{"id":"2110.13891","title":"Dynamic Causal Bayesian Optimization","created":"2021-10-26","cited_by_count":17,"area":null},{"id":"2303.02320","title":"Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders","created":"2023-03-04","cited_by_count":17,"area":null},{"id":"2109.11990","title":"Optimization-based Causal Estimation from Heterogenous Environments","created":"2021-09-24","cited_by_count":16,"area":null},{"id":"2304.04661","title":"AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges","created":"2023-04-10","cited_by_count":15,"area":null},{"id":"2110.06257","title":"Causal Discovery from Conditionally Stationary Time Series","created":"2021-10-12","cited_by_count":12,"area":null},{"id":"2105.09980","title":"Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation","created":"2021-05-20","cited_by_count":10,"area":null},{"id":"2103.00378","title":"Towards Efficient Local Causal Structure Learning","created":"2021-02-28","cited_by_count":7,"area":null},{"id":"2407.07291","title":"Causal Discovery in Semi-Stationary Time Series","created":"2024-07-10","cited_by_count":7,"area":null},{"id":"2501.12500","title":"Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis","created":"2025-01-21","cited_by_count":7,"area":null},{"id":"2302.00064","title":"Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour","created":"2023-01-31","cited_by_count":5,"area":null},{"id":"2303.03187","title":"Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting","created":"2023-03-06","cited_by_count":5,"area":null},{"id":"2311.06012","title":"Double Machine Learning Based Structure Identification from Temporal Data","created":"2023-11-10","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":"2205.15638","title":"Differentiable Invariant Causal Discovery","created":"2022-05-31","cited_by_count":3,"area":null},{"id":"2302.09446","title":"Estimating Treatment Effects in Continuous Time with Hidden Confounders","created":"2023-02-19","cited_by_count":3,"area":null},{"id":"2308.10047","title":"Towards Probabilistic Causal Discovery, Inference & Explanations for Autonomous Drones in Mine Surveying Tasks","created":"2023-08-19","cited_by_count":3,"area":null},{"id":"2501.13890","title":"Federated Granger Causality Learning for Interdependent Clients with State Space Representation","created":"2025-01-23","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":"2209.05598","title":"Learning domain-specific causal discovery from time series","created":"2022-09-12","cited_by_count":2,"area":null},{"id":"2306.09261","title":"Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model","created":"2023-06-15","cited_by_count":2,"area":null},{"id":"2407.07290","title":"Causal Discovery-Driven Change Point Detection in Time Series","created":"2024-07-10","cited_by_count":2,"area":null},{"id":"2111.06222","title":"ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions","created":"2021-11-08","cited_by_count":1,"area":null},{"id":"2406.17698","title":"Identifying Nonstationary Causal Structures with High-Order Markov Switching Models","created":"2024-06-25","cited_by_count":1,"area":null},{"id":"2505.20697","title":"Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series","created":"2025-05-27","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":"2510.17318","title":"CausalMamba: Scalable Conditional State Space Models for Neural Causal Inference","created":"2025-10-20","cited_by_count":1,"area":null},{"id":"2602.19414","title":"Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning","created":"2026-02-23","cited_by_count":1,"area":null},{"id":"2210.16034","title":"A Survey on Causal Representation Learning and Future Work for Medical Image Analysis","created":"2022-10-28","cited_by_count":0,"area":null},{"id":"2309.06739","title":"MCNS: Mining Causal Natural Structures Inside Time Series via A Novel Internal Causality Scheme","created":"2023-09-13","cited_by_count":0,"area":null},{"id":"2401.05218","title":"Invariant Causal Prediction with Local Models","created":"2024-01-10","cited_by_count":0,"area":null},{"id":"2405.06902","title":"Causal Inference from Slowly Varying Nonstationary Processes","created":"2024-05-11","cited_by_count":0,"area":null},{"id":"2407.01875","title":"Spatio-Temporal Graphical Counterfactuals: An Overview","created":"2024-07-02","cited_by_count":0,"area":null},{"id":"2412.19507","title":"Hybrid Local Causal Discovery","created":"2024-12-27","cited_by_count":0,"area":null},{"id":"2509.07036","title":"Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators","created":"2025-09-08","cited_by_count":0,"area":null},{"id":"2511.17624","title":"QML-HCS: A Hypercausal Quantum Machine Learning Framework for Non-Stationary Environments","created":"2025-11-18","cited_by_count":0,"area":null},{"id":"2605.20580","title":"Deep Learning Surrogates for Emulating Stochastic Climate Tipping Dynamics","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2609.05150","title":"Beyond Stationarity in Time Series: Discovering Causal Structures and Latent Regimes via Markov Blankets","created":"2026-09-04","cited_by_count":0,"area":null}],"next_cursor":null}