#Quantification

4 статьи
arXiv Machine Learning
arXiv Machine Learning

AdaptNTK: Adaptive Uncertainty Quantification and Active Learning for Neural Network Potentials

arXiv:2609.00488v1 Announce Type: new Abstract: Machine learning interatomic potentials bridge the gap between quantum chemical precision and classical computational speed, enabling molecular dynamics...

arXiv Machine Learning
3
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arXiv Computer Vision
arXiv Computer Vision

A Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation

arXiv:2608.18709v1 Announce Type: new Abstract: Foundation models are increasingly breaking what seemed to be impossible not long ago by enabling unprecedented accuracy and cross-domain generalization...

arXiv Computer Vision
1
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arXiv Statistics
arXiv Statistics

Quantification and Decomposition of Uncertainty Using Sliced-Normal Distribution: With Applications to NASA Data

arXiv:2608.14878v1 Announce Type: new Abstract: Modeling multivariate distributions with nonlinear dependence, multimodality, and tractable analytical structure for downstream applications is a centra...

arXiv Statistics
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