Counterfactual Generation

Momentum

10 papers in the last four weeks, up 233% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 48

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  1. Counterfactual Generation via Flow Matching: Coupling-Sensitive End-to-End Rates

    Oct 1, 2026Yunrui Guan, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanCounterfactual GenerationAccelerated Sampling

  2. Towards Fast and Disentangled Counterfactuals for Visual Foundation Models

    Oct 1, 2026Sidney Bender, Benedikt Kunz, Ahmed Zeid +3Wireless Foundation ModelsCounterfactual Generation

  3. Fixing a Model That Learned Worse Cancer Means Lower Risk: Monotonic Constraints in Bladder Cancer Recurrence Prediction

    Oct 1, 2026Saram Abbas, David Thomas, Naeem Soomro +3Multidisciplinary Tumor BoardsMulticenter Evaluation

  4. ASCT: Attentive Search over Counterfactual Trees for Credit Assignment in Agentic Reinforcement Learning

    Sep 28, 2026Yang Li, Jinhan Yang, hai liu +8Agentic Reinforcement LearningCredit Assignment

  5. InfraVLA: Extending Vision-Language-Action Navigation with Infrastructure Cameras

    Sep 27, 2026Lukas Vierling, Benjamin Ramtoula, Luke Robinson +2Object Goal NavigationCamera

  6. Pulseflow: PPG Counterfactual Generation Via Latent Transport

    Sep 27, 2026Hung Manh Pham, Dong Ma, Bin Zhu +1Remote PhotoplethysmographyGenerative Models

  7. Reproducing Transparent and Scrutable Recommendations: Exploring Open-Weight Models via Natural-Language User Profiles

    Sep 17, 2026Noah Mamié, Laurin van den BerghProfileTransparency

  8. Legible Failures: Detecting and Repairing In-Context Binding Errors

    Sep 11, 2026Manas Venkata Sai Ravulapalli, Samrath Singh Chadha, Abhinav M. HariIn-ContextConfidence Calibration

  9. AVCG: A Generalized Variational Framework for Counterfactual Generation under Hypothesis Distributions

    Sep 7, 2026Jamie Duell, Alejandro Jimenez Rodriguez, Mahault AlbarracinCounterfactual ExplanationCounterfactual Generation

  10. Dual Spatial-Temporal Attribution: Architecture-Aligned Post-Hoc Explainability for Recurrent Graph Anomaly Detection

    Aug 12, 2026Iyad Assaad Nekka, Hamida Seba, Khaled Walid Hidouci +1Generalist Graph Anomaly DetectionGraph Representations

  11. How Can Driving World Models Do Counterfactual Prediction?

    Aug 12, 2026Jiaru Zhang, Can Cui, Yi Xu +3Counterfactual GenerationCounterfactuals

  12. Evidence-RL: Towards Evidence-intensive Visual Reasoning

    Aug 8, 2026Haojie Huang, Xinlei Yu, Chengming Xu +6Vision-Language Model GroundingVisual Reasoning

  13. Class-Aware Reinforcement Learning for Counterfactual Explanation Generation

    Jul 30, 2026Muhammad Adil Saleem, Syed Ali Raza, Mary-Anne WilliamsCounterfactual ExplanationCounterfactual Generation

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

    Jul 23, 2026Jonathan Zhang, Erik Skalnes, Jacob Chen +1Causal InferencesCounterfactual Generation

  15. Beyond Sufficiency: Time Series Explanation with Counterfactual Necessity

    Jul 23, 2026Hongnan Ma, Yiwei Shi, Mengyue Yang +1Time SeriesCounterfactual Explanation

  16. A Multi-Dimensional Evaluation of Explainability in Media Bias Detection

    Jul 22, 2026Ting Chen, Raina Zhang, Benjamin M. Ampel +1ExplainabilityMulti-Dimensional Evaluation

  17. Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods

    Jul 21, 2026Seyed Mohammadreza Alavi, Ardeshir Shojaeinasab, Reza Jalayer +2VibrationFault Diagnosis

  18. ConceptCF: Concept-based Counterfactuals for the Explainability of Time Series

    Jul 21, 2026Annemarie Jutte, Faizan Ahmed, Jeroen Linssen +1Counterfactual ExplanationCounterfactual Generation

  19. The Information Shadow: Measuring Structural Limits on What Language Models Can Learn

    Jul 17, 2026Priyansh Srivastava, Romit ChatterjeeFundamental LimitsLanguage Modeling

  20. Counterfactuals for Feature-Weighted Clustering

    Jul 16, 2026Richard J. Fawley, Renato Cordeiro de AmorimClusteringCounterfactual Explanation

  21. Constraint-Aware Counterfactual Editing for Aspect-Based Sentiment Analysis

    Jul 15, 2026S M Rafiuddin, Vamsi Krishna Pavuluri, Atriya SenCounterfactual GenerationSentiment

  22. CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor Traps

    Jul 12, 2026JungMin Yun, JuneHyoung Kwon, YoungBin KimMulti-Hop ReasoningLLM Reasoning Strategies

  23. Counterfactual Methods for Detecting Unfairness in Anti-Money Laundering Algorithms

    Jul 6, 2026Lea Multerer, Michele Inchingolo, David Kletz +3Anti-Money LaunderingAlgorithmic Fairness

  24. Adaptive Group-Based Counterfactual Explanations for Time-Series Rehabilitation Data

    Jul 2, 2026Emmanuel C. Chukwu, Rianne M. Schouten, Monique Tabak +1Counterfactual ExplanationRehabilitation

  25. Einstein World Models

    Jun 25, 2026Munachiso Samuel Nwadike, Zangir Iklassov, Ali Mekky +2Visual ReasoningReasoning Skills

  26. LoCC: Detection and Localization of Lip-Syncing Deepfakes via Counterfactual Frame Consistency

    Jun 22, 2026Soumyya Kanti Datta, Shan Jia, Siwei LyuDeepfake DetectionPrecise Lip Synchronization

  27. Target-confidence Recourse Using tSeTlin machines: TRUST

    Jun 17, 2026K. Darshana Abeyrathna, Sara El Mekkaoui, Nils Enric Canut Taugbøl +1Counterfactual GenerationConfidence Calibration

  28. ConTex: Reformulating Counterfactual Generation For Time Series Forecasting

    Jun 16, 2026Jan Voets, Hasan Tercan, Tobias Meisen +1Counterfactual GenerationForecasting Backbone

  29. CoCoGEC: Counterfactual Generation for Robust Grammatical Error Correction

    Jun 13, 2026Qianyu Wang, Xiaoman Wang, Yuanyuan Liang +2Grammatical Error CorrectionCounterfactual Generation

  30. Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics

    Jun 10, 2026Sam Gijsen, Michał Łukomski, Marc-André Schulz +1Functional Magnetic Resonance ImagingGenerative Models

  31. Counterfactual Reasoning for Fine-Grained Evidence Disentanglement in VideoQA

    Jun 8, 2026Zhou Du, Hamid Krim, Xiao Wu +3Long Video Question AnsweringCounterfactual Generation

  32. scCBGM: Interpretable Single-Cell Counterfactual Editing

    Jun 5, 2026Alma Andersson, Aya Abdelsalam Ismail, Edward De Brouwer +6Single-Cell RnaCounterfactual Generation

  33. Automatic, Debiased, and Invariant Counterfactual Generation under General Interventions

    Jun 5, 2026Raphael C Kim, Jingsen Zhu, Ramin Zabih +1Counterfactual GenerationCausal Inferences

  34. Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning

    Jun 4, 2026Sean Groom, Michael Groom, Francisco Belo +4Offline Reinforcement LearningRobust Optimization

  35. LLM Explainability with Counterfactual Chains and Causal Graphs

    Jun 4, 2026Nirit Nussbaum-Hoffer, Nitay Calderon, Liat Ein-Dor +1Causal GraphExplainability

  36. TabChange: Precise Attribute Changes in Tabular Data

    May 30, 2026Arjun Dahal, Yu Lei, Raghu N. Kacker +1Counterfactual GenerationTabular Data

  37. Density-Guided Robust Counterfactual Explanations on Tabular Data under Model Multiplicity

    May 29, 2026Jun Tan, Qing Guo, Zicheng Xu +3Counterfactual ExplanationCounterfactual Generation

  38. Leveraging Foundation Models for Causal Generative Modeling

    May 22, 2026Aneesh Komanduri, Xintao WuCounterfactual GenerationCausal

  39. SafeAlign-VLA: A Negative-Enhanced Safe Alignment Framework for Risk-Aware Autonomous Driving

    May 19, 2026Kefei Tian, Yuansheng Lian, Kai Yang +2Autonomous DrivingSafety Alignment

  40. Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality

    May 11, 2026Shu Tamano, Masaaki ImaizumiCausal InferencesCounterfactual Generation

  41. Debiased Counterfactual Generation via Flow Matching from Observations

    May 8, 2026Hugh Dance, Johnny Xi, Peter Orbanz +1Counterfactual GenerationLatent Confounders

  42. Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models

    Apr 28, 2026Li Ju, Junzhe Wang, Qi ZhangQuestion-Answering BenchmarksSearch-Augmented Reasoning

  43. BrainNormalizer: Anatomy-Informed Pseudo-Healthy Brain Reconstruction from Tumor MRI via Edge-Guided ControlNet

    Nov 17, 2025Min Gu Kwak, Yeonju Lee, Hairong Wang +2Brain Tumor SegmentationAnatomical Priors

  44. Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG

    Sep 17, 2025Harshad Khadilkar, Abhay GuptaCounterfactual GenerationPretraining

  45. PACE: A Neuro-Symbolic Framework for Plausible and Actionable Counterfactual Explanations

    Date pendingPavel Iakovets, Liyanapathiranage Sudeepika Wajirakumari Samarathunga, Martin Thomas Horsch +1Counterfactual ExplanationExplainable Artificial Intelligence