Nature

Uncertainty Quantification Using Polynomial Chaos Methods

Uncertainty quantification (UQ) is increasingly critical for modelling complex systems in which input parameters or environmental conditions vary unpredictably. Polynomial chaos methods offer a ...
Nature

Conformal Prediction and Uncertainty Quantification

Conformal prediction offers a robust, distribution-free framework that transforms point estimates into prediction sets or intervals by leveraging the concept of exchangeability. This framework helps ...
InfoQ

Amazon Releases Fortuna, an Open-Source Library for ML Model Uncertainty Quantification

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
EurekAlert!

SIAM Conference on Uncertainty Quantification (UQ26)

This conference is being held in cooperation with the American Statistical Association (ASA) and GAMM Activity Group on Uncertainty Quantification (GAMM AG UQ). Uncertainty quantification (UQ) is ...