Causal

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Period ending 2026-09-21

29 new papers

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19 new papers

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  1. Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data

    Jul 5, 2026Stephen Asiedu, David WatsonCausal Foundation ModelsGene-Regulatory Networks

  2. Knowledge-Informed Local Causal Discovery of Optimal Adjustment Sets

    Jul 5, 2026Seong Woo Ahn, Alessandro Leite, José Lucas De Melo Costa +3Causal Foundation Models

  3. On Pairwise Quantile Regression -- Statistical Guarantees and Applications

    Jul 5, 2026Romain Thérézien, Stephan Clémençon, Fantin Girard +1Quantile RegressionSpearman Correlation

  4. Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates

    Jul 5, 2026Hao Hu, Xue-shan AiMultivariate ForecastingTime Series

  5. Optimal Mixture-of-Experts Model Averaging for Conditional Generative Models

    Jul 5, 2026Shijin Gong, Baihua He, Xinyu ZhangGenerative ModelsMixture-of-Experts Models

  6. Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis

    Jul 5, 2026Harsh Shrivastava, Yuta Kawakami, Junpei Komiyama +1Causal Mediation AnalysisIdentifiability

  7. CausalGame: Benchmarking Causal Thinking of LLM Agents in Games

    Jul 5, 2026Zhenhao Chen, Yongqiang Chen, Chenxi Liu +7Artificial Intelligence ScientistsLarge Language Model Agents

  8. MDL Meets Latent Confounders: LNML-based Causal Discovery

    Jul 5, 2026Zhongyi Que, Shin Matsushima, Kenji YamanishiCausal Foundation ModelsLatent Confounders

  9. A Unified Framework for In-Context Learning with Causal and Masked Language Models

    Jul 5, 2026Chenrui Liu, Chuanlong Xie, Falong Tan +2In-Context LearningCausal Attention

  10. Significance-First Splitting: Aligning Treatment Heterogeneity Detection with Honest Estimation

    Jul 4, 2026Pantelis Z. Hadjipantelis, Weng Man Chiang, Karthik NageshHeterogeneous Treatment EffectsTwo-Sample Testing

  11. Order-based Causal Discovery for Multistage Processes

    Jul 4, 2026Eun-Yeol Ma, Junsub Jung, Heeyoung KimCausal Foundation ModelsCausal Graph

  12. Optimizing Large Language Models for Causality Assessment in Pharmacovigilance: Developing a Performance Metric as Objective for Bayesian Hyperparameter Optimization

    Jul 4, 2026Nicole Sonne Heckmann, Arnault-Quentin Vermillet, Søren Norlin Mølgaard +4Causal ReasoningAgreement

  13. Personalized Causal Recourse: A Human-In-The-Loop Approach

    Jul 3, 2026Denise Tampieri, Giovanni De Toni, Paolo GiudiciStructural Causal ModelHuman-In-The-Loop

  14. Denoised Conformal Alignment for Reliable Selection of Conditional Average Treatment Effect Predictions

    Jul 3, 2026Xinyun Lu, Haoang Chi, Zhiheng ZhangHeterogeneous Treatment EffectsConformal Calibration

  15. Parallelized Autoregressive Decoding for Omni-Modal Dense Video Captioning

    Jul 3, 2026Wenzheng Zeng, Siyi Jiao, Chen Gao +2Video CaptioningAutoregressive Video Generation

  16. Ask the Right Comparison:Bias-Aware Bayesian Active Top-kk Ranking with LLM Judges

    Jul 2, 2026Jian Xu, Delu Zeng, John Paisley +1Large Language Model JudgesRanking

  17. Schedulable Job-Level Dependencies for Cause-Effect Chains via Graph Neural Networks

    Jul 2, 2026Silviu S. Craciunas, Christian Hakert, Jian-Jia Chen +2Constraint-Aware SynthesisGraph Neural Networks

  18. Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence

    Jul 2, 2026Zhenghua Pan, Ahmed Aziz EzzatElectricity Price ForecastingTime Series Foundation Models

  19. CausalSteward: An Agentic Divide-Conquer-Combine Copilot for Causal Discovery

    Jul 2, 2026Nicholas Tagliapietra, Gian Lorenzo Marchioni, Moritz Willig +3Causal Foundation ModelsCausal Reasoning

  20. Actual causality in fault trees

    Jul 2, 2026Georgiana Caltais, Milan Lopuhaä-Zwakenberg, Mariëlle StoelingaCausal ReasoningRobot Failures

  21. Repair the Amplifier, Not the Symptom: Stable World-Model Correction for Agent Rollouts

    Jul 2, 2026Xinyuan Song, Zekun CaiLong RolloutsLarge Language Model Planning

  22. Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse Autoencoders

    Jul 1, 2026Zihao Qi, Christopher EarlsQuantum Neural NetworksMany-Body Physics

  23. CausalMix: Data Mixture as Causal Inference for Language Model Training

    Jul 1, 2026Zinan Tang, Yukun Zhang, Shaomian Zheng +6MixturesCausal Inferences

  24. Characterizing and Identifying Separable Graphical Models

    Jul 1, 2026Christopher Meek, Kayvan SadeghiGraph TheorySeparability

  25. CIPHER: Causal Intervention Pathways for Healthcare Equity and Robustness

    Jul 1, 2026Xinyu Jia, Weidong Guo, Wangyuan Zhao +3Medical Image GenerationSynthetic Data Augmentation

  26. From Structural Equation Modelling to Double Machine Learning: Robustness Analysis for Survey-Based Research

    Jul 1, 2026Ka Ching Chan, Qiana Liu, Sanjib Tiwari +1Structural Equation ModelsSemiparametric Framework

  27. Closed-loop coupling of personalised and foundation models for real-time treatment guidance with MRI

    Jul 1, 2026James Grover, Emily A. Hewson, Andrew Phair +5RadiotherapyMagnetic Resonance Imaging

  28. Understanding Guest Preferences and Optimizing Two-sided Marketplaces: Airbnb as an Example

    Jul 1, 2026Yufei Wu, Daniel SchmiererCausal Inferences

  29. Validating Causal Abstraction Metrics on Simulated Complex Systems

    Jun 30, 2026Maxime Méloux, Tiago Pimentel, François Portet +1Causal Reasoning

  30. A Filtered Mixture-of-Generators for Fully Synthetic Survival Training

    Jun 30, 2026Niccolò Maria Rizzi, Eugenio Lomurno, Alberto Archetti +1Survival AnalysisSynthetic Tabular Data

  31. Additive Causal Construction for Transferable and Reconfigurable Cross-System Learning in Multi-Source Image Fusion

    Jun 30, 2026Zhizhong Fu, Wei Zhou, Zhaoyang Jiang +5Visible Image FusionCausal Reasoning

  32. Learning Gaussian Graphical Models from a Glauber Trajectory Without Mixing

    Jun 30, 2026Eric Shen, Tony Wu, Mahbod Majid +1Conditional IndependenceTemporal Dependence

  33. Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation

    Jun 30, 2026Jiachun Li, David Simchi-LeviBayesian Experimental DesignHeterogeneous Treatment Effects

  34. Beyond But-for Test: Counterfactual Explanation in Abstract Argumentation via Actual Causality (Extended Version)

    Jun 30, 2026Siyi Liu, Muyun Shao, Beishui LiaoCounterfactual ExplanationAbstract Argumentation

  35. Estimating Supply Incrementality in Two-sided Marketplaces: A Causal Machine Learning Approach

    Jun 30, 2026Yufei Wu, Daniel Schmierer, Dan ZylberglejdMatching MarketsCausal Inferences

  36. Spatio-Temporal Gaussian Process for Building Terrain-Incorporating Wind Power Curves

    Jun 30, 2026Ahmadreza Chokhachian, V. Roshan Joseph, Yu DingOffshore Wind TurbineGaussian Process

  37. Hierarchical Clustering As a Novel Solution to the Notorious Multicollinearity Problem in Observational Causal Inference

    Jun 30, 2026Yufei Wu, Zhiying Gu, Alex Deng +2Causal Inferences

  38. Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health Support

    Jun 29, 2026Mizanur Rahman, Abeer Badawi, Elahe Rahimi +4Mental Health SupportTreatment

  39. Doubly Robust Adaptive Conformal Inference for Causal Effects Under Temporal Dependence

    Jun 29, 2026Andreas Koukorinis, Ricardo SilvaCausal InferencesConformal Inference

  40. Non-parametric recovery of causal diffusion mechanisms from steady-state observations

    Jun 29, 2026Richard Schwank, Mathias DrtonStochastic Differential EquationsCausal Graph

  41. CouCE: A Unified Causal Framework for Debiased Deep Metric Learning

    Jun 29, 2026Xin Yuan, Zhenyang Niu, Meiqi Wan +3Counterfactual LearningCausal Representation Learning

  42. Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification

    Jun 29, 2026Federico FelizziCardiometabolic RiskBiomarker

  43. MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory Evaluation

    Jun 29, 2026Kuan WangAgent MemorySingle-Agent Baselines

  44. A causal modeling perspective on decision theory

    Jun 29, 2026Arvid SjölanderStructural Causal ModelDecisions

  45. From Trait to Behavior: A Cognitive-Affective Personality System (CAPS) Perspective on Multi-Homing Intention in AIGC Platforms

    Jun 29, 2026Xuchao Zhang, Jihye LeeSocial InfluencePersonality

  46. Mechanistically Eliciting Latent Behaviors in Language Models

    Jun 28, 2026Andrew Mack, Nina Panickssery, Alexander Matt TurnerModel ActivationsCausal Reasoning

  47. Do Models Read What They Write? Causal Registers in Scratchpad Reasoning

    Jun 28, 2026Benjamin Shih, John Winnicki, Eric DarveScratchCausal Reasoning

  48. Reliability, Faithfulness, and the Limits of Post-hoc Explanations of Opaque Scientific Models

    Jun 28, 2026Nick Oh, Helen JinExplanation FaithfulnessPost-Hoc

  49. Direct Causation in International Humanitarian Law and the Challenge of AI-Mediated Civilian Cyber Operations

    Jun 28, 2026Alice Saito, Harold Godsoe, Phan Xuan TanHumanitarian ReportsCybersecurity

  50. FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization

    Jun 27, 2026Junyan Tan, Yifan Li, Minghao Wang +2Causal GraphFinance Benchmarks

  51. An AI agent for treatment reasoning over a biomedical tool universe

    Jun 27, 2026Shanghua Gao, Ayush Noori, Richard Zhu +13TreatmentArtificial Intelligence Agents

  52. A Neuroimaging Simulation Framework for Developing and Evaluating Causal AI

    Jun 27, 2026Eryn Libert-Scott, Emma A. M. Stanley, Vibujithan Vigneshwaran +3Neuroimaging ModelsMedical Image Generation

  53. Disentangling Continuous-Time Latent Dynamics: Identifiability of Latent SDEs via Diffusion Shifts

    Jun 26, 2026Yuanyuan Wang, Wenjie Wang, Haoxuan Li +2IdentifiabilityCausal Representation Learning

  54. Lifted Causal Inference

    Jun 26, 2026Malte Luttermann, Tanya Braun, Ralf Möller +1Causal GraphCausal Inferences

  55. The Curse of Multiple Mediators: Hidden Interaction Effects in Activation Patching

    Jun 25, 2026Sankaran Vaidyanathan, David Arbour, Aaron Mueller +2Causal Mediation AnalysisMechanistic Interpretability

  56. Causal Connections: Leveraging Multilingual Fine-Tuning for Financial QA@FinCausal 2026

    Jun 25, 2026Akash Kumar Gautam, Serhii Hamotskyi, Christian HänigMultilingual Financial Question AnsweringFinance Domain

  57. Cross-Head Attention Uplift Network with Inverse Propensity Score under Unobserved Confounding

    Jun 25, 2026Haoran Zhang, Chuanpu Li, Yuxin Fu +4Heterogeneous Treatment EffectsPropensity

  58. TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation

    Jun 25, 2026Zhixiang Lu, Xiwei Liu, Sifan Song +5Large Language Model HallucinationMedical Vision-Language Models

  59. A Causal Foundation Model for Structure and Outcome Prediction

    Jun 25, 2026Max Zhu, Martino Mansoldo, Ching-Hao Wang +1Causal Foundation ModelsCausal Reasoning

  60. OncoSynth: Synthetic data generation for treatment effect estimation in oncology

    Jun 24, 2026Octavia-Andreea Ciora, Julian Welzel, Dennis Frauen +6Synthetic DataHeterogeneous Treatment Effects