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counterfactual

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Showing 501–550 of 2765 papers

TitleStatusHype
Explainable Reinforcement Learning Agents Using World Models—0
Interpretable Event Diagnosis in Water Distribution Networks—0
Constrained Online Decision-Making: A Unified Framework—0
COMRECGC: Global Graph Counterfactual Explainer through Common RecourseCode0
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey—0
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering—0
Realistic Counterfactual Explanations for Machine Learning-Controlled Mobile Robots using 2D LiDAR—0
Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D ObjectsCode0
Predicting Poverty—0
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering PerspectiveCode0
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization—0
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems—0
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning—0
Learning by exporting with a dose-response functionCode0
Revolutions as Structural Breaks: The Long-Term Economic and Institutional Consequences of the 1979 Iranian Revolution—0
Ethnic Conflicts, Civil War and Economic Growth: Region-Level Evidence from former Yugoslavia—0
A New Approach to Backtracking Counterfactual Explanations: A Causal Framework for Efficient Model Interpretability—0
Exogenous Isomorphism for Counterfactual IdentifiabilityCode0
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models—0
Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions—0
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation—0
Assessing Racial Disparities in Healthcare Expenditures Using Causal Path-Specific EffectsCode0
Real-time Program Evaluation using Anytime-valid Rank Tests—0
The Estimation of Continual Causal Effect for Dataset Shifting Streams—0
What's Wrong with Your Synthetic Tabular Data? Using Explainable AI to Evaluate Generative ModelsCode0
Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal PerspectiveCode0
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual AnalysisCode0
Probabilistic and Causal Satisfiability: Constraining the Model—0
How Group Lives Go Well—0
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning—0
Hierarchical and Multimodal Data for Daily Activity UnderstandingCode0
Plasma State Monitoring and Disruption Characterization using Multimodal VAEs—0
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation—0
Investigating LLMs in Clinical Triage: Promising Capabilities, Persistent Intersectional Biases—0
Realized Local Volatility Surface—0
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering—0
Causal Disentanglement for Robust Long-tail Medical Image Generation—0
Improving Sequential Recommenders through Counterfactual Augmentation of System ExposureCode0
Cost-of-Pass: An Economic Framework for Evaluating Language ModelsCode0
SALAD: Improving Robustness and Generalization through Contrastive Learning with Structure-Aware and LLM-Driven Augmented Data—0
LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation—0
Counterfactual Fairness Evaluation of Machine Learning Models on Educational Datasets—0
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric CounterfactualsCode0
Causal integration of chemical structures improves representations of microscopy images for morphological profilingCode0
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems—0
Teaching Humans Subtle Differences with DIFFusion—0
Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and CounterfactualsCode0
Restoring Feasibility in Power Grid Optimization: A Counterfactual ML Approach—0
Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent KnowledgeCode0
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning—0
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