Saved in:
| Main Author: | Laudy, Olav |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.01325 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
by: Li, He, et al.
Published: (2025)
by: Li, He, et al.
Published: (2025)
ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods
by: De Moor, Jakob, et al.
Published: (2025)
by: De Moor, Jakob, et al.
Published: (2025)
Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method
by: Andrews, Bryan, et al.
Published: (2024)
by: Andrews, Bryan, et al.
Published: (2024)
Recover Experimental Data with Selection Bias using Counterfactual Logic
by: He, Jingyang, et al.
Published: (2025)
by: He, Jingyang, et al.
Published: (2025)
Counterfactual Probabilistic Diffusion with Expert Models
by: Mu, Wenhao, et al.
Published: (2025)
by: Mu, Wenhao, et al.
Published: (2025)
Flexible Counterfactual Explanations with Generative Models
by: Hellemans, Stig, et al.
Published: (2025)
by: Hellemans, Stig, et al.
Published: (2025)
Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
by: Wielopolski, Patryk, et al.
Published: (2024)
by: Wielopolski, Patryk, et al.
Published: (2024)
Generally-Occurring Model Change for Robust Counterfactual Explanations
by: Xu, Ao, et al.
Published: (2024)
by: Xu, Ao, et al.
Published: (2024)
FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness
by: Fragkathoulas, Christos, et al.
Published: (2024)
by: Fragkathoulas, Christos, et al.
Published: (2024)
The Logic of Counterfactuals and the Epistemology of Causal Inference
by: Lin, Hanti
Published: (2024)
by: Lin, Hanti
Published: (2024)
Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations
by: You, Lei, et al.
Published: (2024)
by: You, Lei, et al.
Published: (2024)
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality
by: Li, Jiangmeng, et al.
Published: (2024)
by: Li, Jiangmeng, et al.
Published: (2024)
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations
by: Motzkus, Franz, et al.
Published: (2024)
by: Motzkus, Franz, et al.
Published: (2024)
Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection
by: Zhang, Jiarui, et al.
Published: (2024)
by: Zhang, Jiarui, et al.
Published: (2024)
Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
by: Furman, Oleksii, et al.
Published: (2024)
by: Furman, Oleksii, et al.
Published: (2024)
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
by: Komanduri, Aneesh, et al.
Published: (2024)
by: Komanduri, Aneesh, et al.
Published: (2024)
Axiomatic Foundations of Counterfactual Explanations
by: Amgoud, Leila, et al.
Published: (2026)
by: Amgoud, Leila, et al.
Published: (2026)
Partial Identification Approach to Counterfactual Fairness Assessment
by: Rho, Saeyoung, et al.
Published: (2025)
by: Rho, Saeyoung, et al.
Published: (2025)
De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network
by: Zhao, Yonghe, et al.
Published: (2023)
by: Zhao, Yonghe, et al.
Published: (2023)
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
by: Shmueli, Galit, et al.
Published: (2025)
by: Shmueli, Galit, et al.
Published: (2025)
Marginal Causal Flows for Validation and Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
Irredundant $k$-Fold Cross-Validation
by: Aguilar-Ruiz, Jesus S.
Published: (2025)
by: Aguilar-Ruiz, Jesus S.
Published: (2025)
A Statistical Framework for Algorithmic Collective Action with Multiple Collectives
by: Battiloro, Claudio, et al.
Published: (2026)
by: Battiloro, Claudio, et al.
Published: (2026)
A Two-Stage Interpretable Matching Framework for Causal Inference
by: Shikalgar, Sahil, et al.
Published: (2025)
by: Shikalgar, Sahil, et al.
Published: (2025)
Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of Concept
by: Trilla, Alexandre, et al.
Published: (2024)
by: Trilla, Alexandre, et al.
Published: (2024)
Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks
by: Hua, Wenyue, et al.
Published: (2024)
by: Hua, Wenyue, et al.
Published: (2024)
Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content
by: Bednarczyk, Lydie, et al.
Published: (2026)
by: Bednarczyk, Lydie, et al.
Published: (2026)
Off-Policy Evaluation and Learning for Survival Outcomes under Censoring
by: Kubota, Kohsuke, et al.
Published: (2026)
by: Kubota, Kohsuke, et al.
Published: (2026)
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
by: Lalou, Yanis, et al.
Published: (2024)
by: Lalou, Yanis, et al.
Published: (2024)
Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
by: Casadei, Alessandro, et al.
Published: (2025)
by: Casadei, Alessandro, et al.
Published: (2025)
A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering
by: Liu, Yi
Published: (2026)
by: Liu, Yi
Published: (2026)
When Should an AI Workflow Release? Always-Valid Inference for Black-Box Generate-Verify Systems
by: Cho, Young Hyun, et al.
Published: (2026)
by: Cho, Young Hyun, et al.
Published: (2026)
Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration
by: Saves, Paul, et al.
Published: (2025)
by: Saves, Paul, et al.
Published: (2025)
Valid Selection among Conformal Sets
by: Hegazy, Mahmoud, et al.
Published: (2025)
by: Hegazy, Mahmoud, et al.
Published: (2025)
Censoring-Aware Tree-Based Reinforcement Learning for Estimating Dynamic Treatment Regimes with Censored Outcomes
by: Paul, Animesh Kumar, et al.
Published: (2025)
by: Paul, Animesh Kumar, et al.
Published: (2025)
A Causal Framework for Evaluating ICU Discharge Strategies
by: Simha, Sagar Nagaraj, et al.
Published: (2026)
by: Simha, Sagar Nagaraj, et al.
Published: (2026)
Model-Free Assessment of Simulator Fidelity via Quantile Curves
by: Iyengar, Garud, et al.
Published: (2025)
by: Iyengar, Garud, et al.
Published: (2025)
A Framework for Nonstationary Gaussian Processes with Neural Network Parameters
by: James, Zachary, et al.
Published: (2025)
by: James, Zachary, et al.
Published: (2025)
A General Framework on Conditions for Constraint-based Causal Learning
by: Teh, Kai Z., et al.
Published: (2024)
by: Teh, Kai Z., et al.
Published: (2024)
Natural Counterfactuals With Necessary Backtracking
by: Hao, Guang-Yuan, et al.
Published: (2024)
by: Hao, Guang-Yuan, et al.
Published: (2024)
Similar Items
-
Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
by: Li, He, et al.
Published: (2025) -
ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods
by: De Moor, Jakob, et al.
Published: (2025) -
Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method
by: Andrews, Bryan, et al.
Published: (2024) -
Recover Experimental Data with Selection Bias using Counterfactual Logic
by: He, Jingyang, et al.
Published: (2025) -
Counterfactual Probabilistic Diffusion with Expert Models
by: Mu, Wenhao, et al.
Published: (2025)