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Uncertainty Quantification

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Showing 601–625 of 2366 papers

TitleStatusHype
A Deep Learning approach for parametrized and time dependent Partial Differential Equations using Dimensionality Reduction and Neural ODEs—0
Image Super-Resolution with Guarantees via Conformalized Generative Models—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
On Training-Conditional Conformal Prediction and Binomial Proportion Confidence Intervals—0
Epistemic Uncertainty in Conformal Scores: A Unified ApproachCode0
A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images—0
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural NetworksCode0
A Planning Framework for Adaptive Labeling—0
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
Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization—0
Calibrated Physics-Informed Uncertainty Quantification—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
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks—0
Robust and Conjugate Spatio-Temporal Gaussian ProcessesCode0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
SiLVR: Scalable Lidar-Visual Radiance Field Reconstruction with Uncertainty Quantification—0
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