Causal

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Period ending 2026-09-21

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  1. DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series

    Jul 29, 2026Dennis Thumm, Billy Tim Anthony, Ying ChenCausal InferencesSynthetic Time Series

  2. From Unsupervised Subgroups to Hypothetical State-Intervention Policies: An Evaluation of Selected Subgrouping Methods in Observational Health Data

    Jul 29, 2026Vasundhara Acharya, Bulent YenerSubgroup InformationCovariate Shift

  3. Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations

    Jul 29, 2026Seunghun Yu, Meiyi Zhu, Petar Popovski +2Change-Point DetectionRoot Cause Analysis

  4. The Confounder Trap: Treatment-Encoding Representations in Causal Inference with Text

    Jul 28, 2026Marie Neubrander, Graham Tierney, Alexander VolfovskyLatent ConfoundersCausal Inferences

  5. MyMentorLLM: A psychotherapy GenAI environment with multimodal voice/text patients, trainees and experts for deliberate practice

    Jul 28, 2026Rodolfo Rizzi, Alessandro Grecucci, Massimo StellaCognitive Behavioral TherapySynthesizing Long-Horizon Campus Psychological Counseling Dialogues

  6. Localized Adaptation Reveals Distinct Learning Signatures in Transformers

    Jul 28, 2026Rebecca Ramnauth, Brian ScassellatiTransformer ArchitecturesDistributional Signatures

  7. From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios

    Jul 28, 2026Athanasios Vlontzos, Giorgos Papanastasiou, Bernhard Kainz +1Model SensitivityCausal Reasoning

  8. Entangled by Design: Spurious Intra-Variable Signal Routing in Tabular In-Context Learners

    Jul 28, 2026Athanasios Vlontzos, Giorgos Papanastasiou, Bernhard Kainz +1In-Context LearningCausal Representation Learning

  9. PIcsC: Partitioning-Induced Covariate Shift Correction

    Jul 28, 2026Behraj Khan, Behroz Mirza, Syed Ahmad Chan Bukhari +1Federated LearningPartitioning

  10. SPARC Segmentation to Prediction via Affine Regression and Counterfactuals

    Jul 28, 2026Shivani, Subhayan RoyOversamplingChurn Prediction

  11. Inferring Missing Trajectory Data with Temporal Convolutional Networks

    Jul 27, 2026Ilinca Tiriblecea, Gabriel TuriniciTemporal Convolutional NetworksTrajectory Prediction

  12. Causal-TS: A Python Library for Causal Discovery in High-Dimensional and Nonstationary Time Series

    Jul 27, 2026Mohammad FesangharyCausal Foundation ModelsCausal Reasoning

  13. proxymate: Diagnosis and Adjustment of Proxy Estimates for Reliable Inference

    Jul 27, 2026Alexandra N. M. Darmon, Deeksha Sinha, Steve Wilkins-Reeves +1PrevalencePropensity

  14. Every Client Is an Environment: Federated De-confounding for Spatio-Temporal Forecasting

    Jul 27, 2026Qingxiang Liu, Anqi Liang, Heng Wang +1Spatio-Temporal ForecastingLatent Confounders

  15. GraphRareBench: An Auditable Graph-Evidence Benchmark for Phenotype-Driven Rare-Disease Diagnosis

    Jul 27, 2026Guiling Guo, Jia Yang, Jiahao Xu +3Rare DiseaseDiagnostic Benchmark

  16. A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models

    Jul 26, 2026Trung Phung, Ilya ShpitserSemiparametric FrameworkTangent Space

  17. Context-Aware Concept Distillation for Trustworthy Flood Prediction

    Jul 25, 2026Eli Levinkopf, Efrat Morin, Claudia V. GoldmanAccurate Flood PredictionSen1Floods11

  18. Wrong Design Intent Is Worse Than Never Conditioning: A Derangement-Control Diagnosis of Header Conditioning in CAD Program Completion

    Jul 25, 2026Yang XiaoWrongCausal Intervention

  19. Amortized Bayesian Causal Discovery of Extended Factor Graphs

    Jul 24, 2026Yichen Gu, Yuxuan Song, Weizhou Qian +2Causal GraphCausal Foundation Models

  20. Beyond Directed Acyclic Graphs: Causal Zeros and Causal Differential Equations

    Jul 24, 2026Sergei V. KalininStructural Causal ModelCausal Reasoning

  21. Agentic Autoresearch for CT Reconstruction

    Jul 24, 2026Andreas Maier, Lucas Kachelriess, Siming Bayer +4TomographyAutoresearch

  22. CausalSmith: A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference

    Jul 24, 2026Jiyuan Tan, Vasilis SyrgkanisAutoresearchCausal Inferences

  23. Indexing: the Beginning and the End

    Jul 24, 2026Alexander Kozachinskiy, Vicente Opazo, Felipe UrrutiaNeural ArchitecturesInformation Bottleneck

  24. Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks

    Jul 24, 2026Masahiro TanakaStructural Equation ModelsHeteroskedasticity

  25. Interventional Score Geometry for Causal Inference

    Jul 24, 2026Mojtaba EslamiCausal Inferences

  26. EviDAG: Auditable Causal DAG Authoring with Biomedical Literature

    Jul 23, 2026Yi-han Sheu, Michael R. Steigman, Yu Zhou +3Causal ReasoningReasoning Graphs

  27. TLRNet: Estimating Individual Treatment Effect based on Local Information and Single Learner Structure

    Jul 23, 2026Ali Haghpanah Jahromi, Mohammad Taheri, Zohreh AzimifarHeterogeneous Treatment EffectsTreatment

  28. Longitudinal Random Forests for Sparse and Irregular Response Trajectories

    Jul 23, 2026Yangsheng Wang, Xiaotian Dai, Haoda Fu +1Longitudinal DataCovariate Shift

  29. Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness

    Jul 23, 2026Jonathan Zhang, Erik Skalnes, Jacob Chen +1Counterfactual ReasoningCausal Reasoning

  30. Encoding Invisible Causation for Bridge Diagnostic Agents: Triple-Guided Retrieval-Augmented Fine-Tuning with QLoRA

    Jul 23, 2026Takato YasunoCausal ReasoningCausal Attention

  31. Logic Programming Semantics for Causal Processes

    Jul 23, 2026Felix WeitkämperInductive Logic ProgrammingCausal Reasoning

  32. How Rules Represent Causal Knowledge: Causal Modeling with Probabilistic Logic Programming

    Jul 23, 2026Kilian Rueckschloss, Felix WeitkaemperInductive Logic ProgrammingCausal Reasoning

  33. Automated Synthesis and Adversarial Validation of Executable Causal Research Pipelines

    Jul 23, 2026Irena Girshovitz, Dan Zeltzer, Ran Gilad-BachrachAutoresearchCausal Reasoning

  34. Probabilistic Residual Learning for Online Recommendations

    Jul 23, 2026Wenyuan Wang, Yusong Zhao, Zihao Xu +11Residual LearningLearning-Augmented Algorithms

  35. CEDAR: Causal Edge Discovery for Autoregressive Processes

    Jul 22, 2026Mohammad FesangharyConditional IndependenceCausal Reasoning

  36. Adaptive deep nonparametric regression from dependent data under covariate shift

    Jul 22, 2026William Kengne, Ehud Mossa OckegnaCovariate ShiftNonparametric

  37. Understanding the Impact of Linguistic Realization Choices on LLM Stance with Causal Tracing

    Jul 22, 2026Langchen Huang, Sebastian Padó, Franziska WeeberLinguisticsRewrite

  38. Spatial Reasoning in LLM Game Agents: Impact of Causal Context and Multi-Step Planning

    Jul 22, 2026Mohit Jiwatode, Ronja Fuchs, Robin Schmöcker +2Large Language Model AgentsSpatial Reasoning

  39. Local Causal Structure Learning in the Presence of Latent Variables and Selection Bias

    Jul 22, 2026Zheng Li, Hao Zhang, Ruxin Wang +3Causal Foundation ModelsCausal Reasoning

  40. Data-Poisoning Audits for Causal Effect Estimation

    Jul 22, 2026Kwangho KimCausal InferencesAlgorithm Auditing

  41. Multi-Horizon Consistency as Geometry: When Latent Dynamics Contract, and When They Do Not

    Jul 21, 2026Kavya Bhand, Aadi JoshiLatent DynamicsFuture Video Prediction

  42. Causal dictionary learning reveals and validates transcription-factor binding features in genomic language models

    Jul 21, 2026Sarwan AliSpatial TranscriptomicsUnsupervised Dictionary Learning

  43. Deep Shape Regression for Planar Curves with Multimodal Covariates

    Jul 21, 2026Manuel Pfeuffer, Roshan Prakash Rane, Hadya Yassin +2Statistical Shape ModelCurves

  44. Equilibrium Causal Games: Separation, Identification, and the Identifiability of Cyclic Latent States

    Jul 21, 2026Faraz Dadgostari, Neda NazemiStructural Causal ModelCausal Reasoning

  45. Public perceptions of AI-driven decision-making in healthcare: A structural equation modeling approach

    Jul 21, 2026Leonie Westerbeek, Ernesto de Leon, Julia C. M. van WeertHealthcareAi-Driven

  46. Temporal-Causal Unity as an Operational Framework for Collective Dynamics: Causal-Progress Clocks, Synchronization, and Polarization

    Jul 21, 2026Jian Liu, Dong SunCausal ReasoningTemporal Dynamics

  47. For What Reason? Interpreting Models' Encoding of Causation and Antithesis

    Jul 20, 2026Abhidip Bhattacharyya, Shira WeinCausal ReasoningNext-Token Prediction

  48. Causal Discovery on Irregular Time Series

    Jul 20, 2026Martim Penim, Ricardo Ribeiro Pereira, Jacopo Bono +3Causal Foundation ModelsCausal Graph

  49. Vector Search As Nearest Neighbor Matching: RAG-based Policy Learning in Causal Inference

    Jul 20, 2026Masahiro Kato, Taka KatoCausal InferencesVector Database

  50. Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS

    Jul 20, 2026Yihong Gu, Katherine Liao, Tianxi CaiLatent VariableCovariate Shift

  51. COVAriance-Induced Fairness Gap Penalty for Subgroup-Fair Clustering

    Jul 20, 2026Kyungseon Lee, Hankyo Jeong, Kunwoong Kim +2Subgroup InformationFairness-Aware Learning

  52. How Does Alignment Tuning Shape Representations of Sycophancy and Related Cue-Induced Biases in LLMs?

    Jul 20, 2026Prakhar Gupta, Terry Jingchen Zhang, Florent Draye +2Large Language Model BiasLarge Language Model Alignment

  53. An Adjoint-Sensitivity Framework for Lost-in-the-Middle Phenomena in Causal Residual Transformers

    Jul 20, 2026Cheng Huan, Hongwei YuanTransformer Residual StreamsModel Sensitivity

  54. Scalable Causal Imitation Learning

    Jul 18, 2026Eylam Tagor, Mingxuan Li, Elias BareinboimImitation LearningCausal Reasoning

  55. Counterfactual Shapley Credit Assignment

    Jul 18, 2026Mingxuan Li, Kai-Zhan Lee, Elias BareinboimCredit AssignmentCounterfactual Rollouts

  56. Optimizing Clinical Trial Protocols Using EHR-Derived Heterogeneous Treatment Effects

    Jul 18, 2026Xiaodi Li, Munhuwan Lee, Pengyang Li +5Heterogeneous Treatment EffectsElectronic Health Records

  57. When Can Safe Controllers Adapt? Information before Commitment

    Jul 18, 2026Venkatesh SaligramaAdaptive ControllerSafety Constraints

  58. A Causal Markov Condition for Value

    Jul 18, 2026Olav Benjamin VassendCausal GraphConditional Independence

  59. Presentation, Not Mechanism: A Render Confound in Deprecation-Aware Memory Evaluation

    Jul 17, 2026Zhaoyang Jiang, Zhizhong Fu, Zicheng Li +5Sufficient ConditionsLatent Confounders

  60. A Geometry-Limited Identification Floor and Its Consequences for Voice-Clone Attribution in Professional Voice Actors

    Jul 17, 2026Shuhei KatoCross-Lingual Voice CloningSpeaker Verification Performance