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Uncertainty Quantification

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Showing 326–350 of 2366 papers

TitleStatusHype
Relational Conformal Prediction for Correlated Time Series—0
Inverse Design with Dynamic Mode DecompositionCode1
Image Super-Resolution with Guarantees via Conformalized Generative Models—0
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs—0
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals—0
Conditional Distribution Quantization in Machine Learning—0
Forecasting the future development in quality and value of professional football players for applications in team management—0
Beyond Confidence: Adaptive Abstention in Dual-Threshold Conformal Prediction for Autonomous System PerceptionCode0
A Planning Framework for Adaptive Labeling—0
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural NetworksCode0
A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images—0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis—0
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial AssociationCode0
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language ModelsCode0
Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency—0
Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)Code0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Temporal Distribution Shift in Real-World Pharmaceutical Data: Implications for Uncertainty Quantification in QSAR ModelsCode1
Calibrated Physics-Informed Uncertainty Quantification—0
Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization—0
AL-PINN: Active Learning-Driven Physics-Informed Neural Networks for Efficient Sample Selection in Solving Partial Differential Equations—0
Parametric Scaling Law of Tuning Bias in Conformal PredictionCode0
Algorithms with Calibrated Machine Learning Predictions—0
SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with Uncertainty Quantification—0
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