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TitleStatusHype
Domain Adaptation for Industrial Time-series Forecasting via Counterfactual Inference—0
MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction—0
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation—0
Synthetic Counterfactual Faces—0
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection—0
Decision Focused Causal Learning for Direct Counterfactual Marketing Optimization—0
Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIsCode0
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition—0
Generally-Occurring Model Change for Robust Counterfactual Explanations—0
Rethinking Fair Graph Neural Networks from Re-balancingCode1
Inference at the data's edge: Gaussian processes for modeling and inference under model-dependency, poor overlap, and extrapolation—0
A pragmatic policy learning approach to account for users' fatigue in repeated auctions—0
Deep Causal Learning to Explain and Quantify The Geo-Tension's Impact on Natural Gas MarketCode0
An Actionable Framework for Assessing Bias and Fairness in Large Language Model Use CasesCode3
Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk—0
Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual—0
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature LearningCode0
CoGS: Causality Constrained Counterfactual Explanations using goal-directed ASP—0
CE-QArg: Counterfactual Explanations for Quantitative Bipolar Argumentation Frameworks (Technical Report)Code0
Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of ConceptCode0
A Critical Review of Causal Reasoning Benchmarks for Large Language Models—0
Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent CommunitiesCode1
Rigorous Probabilistic Guarantees for Robust Counterfactual ExplanationsCode0
Consistent Document-Level Relation Extraction via CounterfactualsCode0
Exploring the Causality of End-to-End Autonomous DrivingCode2
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