Imagen de Portada

The Digital Twin Counterfactual Framework: A Validation Architecture for Simulated Potential Outcomes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Laudy, Olav
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Methodology
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation
por: Li, He, et al.
Publicado: (2025)

ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods
por: De Moor, Jakob, et al.
Publicado: (2025)

Better Simulations for Validating Causal Discovery with the DAG-Adaptation of the Onion Method
por: Andrews, Bryan, et al.
Publicado: (2024)

Recover Experimental Data with Selection Bias using Counterfactual Logic
por: He, Jingyang, et al.
Publicado: (2025)

Counterfactual Probabilistic Diffusion with Expert Models
por: Mu, Wenhao, et al.
Publicado: (2025)

Flexible Counterfactual Explanations with Generative Models
por: Hellemans, Stig, et al.
Publicado: (2025)

Probabilistically Plausible Counterfactual Explanations with Normalizing Flows
por: Wielopolski, Patryk, et al.
Publicado: (2024)

Generally-Occurring Model Change for Robust Counterfactual Explanations
por: Xu, Ao, et al.
Publicado: (2024)

FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness
por: Fragkathoulas, Christos, et al.
Publicado: (2024)

Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations
por: You, Lei, et al.
Publicado: (2024)

The Logic of Counterfactuals and the Epistemology of Causal Inference
por: Lin, Hanti
Publicado: (2024)

Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality
por: Li, Jiangmeng, et al.
Publicado: (2024)

CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations
por: Motzkus, Franz, et al.
Publicado: (2024)

Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection
por: Zhang, Jiarui, et al.
Publicado: (2024)

Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels
por: Furman, Oleksii, et al.
Publicado: (2024)

Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
por: Komanduri, Aneesh, et al.
Publicado: (2024)

De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network
por: Zhao, Yonghe, et al.
Publicado: (2023)

A Statistical Framework for Algorithmic Collective Action with Multiple Collectives
por: Battiloro, Claudio, et al.
Publicado: (2026)

A Two-Stage Interpretable Matching Framework for Causal Inference
por: Shikalgar, Sahil, et al.
Publicado: (2025)

Partial Identification Approach to Counterfactual Fairness Assessment
por: Rho, Saeyoung, et al.
Publicado: (2025)

Axiomatic Foundations of Counterfactual Explanations
por: Amgoud, Leila, et al.
Publicado: (2026)

From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
por: Shmueli, Galit, et al.
Publicado: (2025)

Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of Concept
por: Trilla, Alexandre, et al.
Publicado: (2024)

Marginal Causal Flows for Validation and Inference
por: Manela, Daniel de Vassimon, et al.
Publicado: (2024)

Irredundant $k$-Fold Cross-Validation
por: Aguilar-Ruiz, Jesus S.
Publicado: (2025)

Propagation and Pitfalls: Reasoning-based Assessment of Knowledge Editing through Counterfactual Tasks
por: Hua, Wenyue, et al.
Publicado: (2024)

Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
por: Casadei, Alessandro, et al.
Publicado: (2025)

Off-Policy Evaluation and Learning for Survival Outcomes under Censoring
por: Kubota, Kohsuke, et al.
Publicado: (2026)

A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering
por: Liu, Yi
Publicado: (2026)

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities
por: Lalou, Yanis, et al.
Publicado: (2024)

Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content
por: Bednarczyk, Lydie, et al.
Publicado: (2026)

When Should an AI Workflow Release? Always-Valid Inference for Black-Box Generate-Verify Systems
por: Cho, Young Hyun, et al.
Publicado: (2026)

Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration
por: Saves, Paul, et al.
Publicado: (2025)

Censoring-Aware Tree-Based Reinforcement Learning for Estimating Dynamic Treatment Regimes with Censored Outcomes
por: Paul, Animesh Kumar, et al.
Publicado: (2025)

A Causal Framework for Evaluating ICU Discharge Strategies
por: Simha, Sagar Nagaraj, et al.
Publicado: (2026)

Eligibility-Aware Evidence Synthesis: An Agentic Framework for Clinical Trial Meta-Analysis
por: Zhao, Yao, et al.
Publicado: (2026)

Model-Free Assessment of Simulator Fidelity via Quantile Curves
por: Iyengar, Garud, et al.
Publicado: (2025)

A Framework for Nonstationary Gaussian Processes with Neural Network Parameters
por: James, Zachary, et al.
Publicado: (2025)

A General Framework on Conditions for Constraint-based Causal Learning
por: Teh, Kai Z., et al.
Publicado: (2024)

A General Causal Inference Framework for Cross-Sectional Observational Data
por: Zhao, Yonghe, et al.
Publicado: (2024)