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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 51–100 of 704 papers

TitleStatusHype
Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions—0
A Physics-Informed Convolutional Long Short Term Memory Statistical Model for Fluid Thermodynamics SimulationsCode0
A Conformal Predictive Measure for Assessing Catastrophic Forgetting—0
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation—0
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse ProblemsCode0
Robust Indoor Localization via Conformal Methods and Variational Bayesian Adaptive Filtering—0
Validation of Conformal Prediction in Cervical Atypia Classification—0
Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting ModelCode0
Extreme Conformal Prediction: Reliable Intervals for High-Impact Events—0
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction—0
Real-Time Privacy Preservation for Robot Visual Perception—0
Conformal Prediction with Cellwise Outliers: A Detect-then-Impute Approach—0
Fair Uncertainty Quantification for Depression Prediction—0
Conformal Prediction with Corrupted Labels: Uncertain Imputation and Robust Re-weightingCode0
Conformal Prediction for Indoor Positioning with Correctness Coverage Guarantees—0
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction—0
Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation—0
From predictions to confidence intervals: an empirical study of conformal prediction methods for in-context learning—0
Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning—0
Learning Enhanced Structural Representations with Block-Based Uncertainties for Ocean Floor MappingCode0
SConU: Selective Conformal Uncertainty in Large Language Models—0
Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios—0
Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer—0
Leave-One-Out Stable Conformal PredictionCode0
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair—0
Conditional Conformal Risk Adaptation—0
Conformalized Generative Bayesian Imaging: An Uncertainty Quantification Framework for Computational Imaging—0
Assumption-free fidelity bounds for hardware noise characterization—0
Conformal Robust Beamforming via Generative Channel Models—0
Conformal Data-driven Control of Stochastic Multi-Agent Systems under Collaborative Signal Temporal Logic SpecificationsCode0
Learning-Based Conformal Tube MPC for Safe Control in Interactive Multi-Agent SystemsCode1
ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification—0
Distributionally Robust Predictive Runtime Verification under Spatio-Temporal Logic SpecificationsCode0
Stochastic Model Predictive Control of Charging Energy Hubs with Conformal Prediction—0
Disturbance-adaptive Model Predictive Control for Bounded Average Constraint Violations—0
Bridging conformal prediction and scenario optimization—0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting—0
Coverage-Guaranteed Speech Emotion Recognition via Calibrated Uncertainty-Adaptive Prediction Sets—0
Minimum Volume Conformal Sets for Multivariate RegressionCode1
Online Selective Conformal Prediction: Errors and Solutions—0
NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis PredictionCode0
CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions—0
Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal PredictionCode0
Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading—0
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal predictionCode0
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation—0
E-Values Expand the Scope of Conformal PredictionCode0
Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression—0
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