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Conformal Prediction

Conformal Prediction is a machine learning framework that provides valid measures of confidence for individual predictions. It offers a principled approach to quantify uncertainty in predictions without assuming any specific distribution for the data. This section features papers that explore various aspects of conformal prediction, including theoretical advancements, algorithmic developments, and applications across different domains.

Papers

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Showing 576–600 of 704 papers

TitleStatusHype
Uncertainty Guarantees on Automated Precision Weeding using Conformal Prediction—0
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning—0
Uncertainty-Guided Enhancement on Driving Perception System via Foundation Models—0
Conformalized Link Prediction on Graph Neural Networks—0
Conformalized Multimodal Uncertainty Regression and Reasoning—0
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model—0
Distribution-free Conformal Prediction for Ordinal Classification—0
Conformal calibrators—0
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operators—0
Uncertainty measurement for complex event prediction in safety-critical systems—0
Conformalized Selective Regression—0
Robust Conformal Prediction with a Single Binary Certificate—0
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions—0
Conformalized Unconditional Quantile Regression—0
Conformalizing Machine Translation Evaluation—0
Conformal k-NN Anomaly Detector for Univariate Data Streams—0
CONFINE: Conformal Prediction for Interpretable Neural Networks—0
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence—0
Conformal Loss-Controlling Prediction—0
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects—0
Conformal Methods for Quantifying Uncertainty in Spatiotemporal Data: A Survey—0
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees—0
Conformal Nucleus Sampling—0
Conformal Object Detection by Sequential Risk Control—0
Conformal Off-Policy Evaluation in Markov Decision Processes—0
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