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 ...
The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as ...
The newest journal from the Society for Industrial and Applied Mathematics, SIAM/ASA Journal on Uncertainty Quantification (JUQ), launched today with its first seven papers publishing online to Volume ...
Dr. Doostan's research team is focused on the development of novel theories and numerical tools to rigorously tackle several grand challenges associated with Uncertainty Quantification (UQ) and ...
The Uncertainty Quantification Module, an add-on to the COMSOL Multiphysics® software, is designed to address the limitations of deterministic simulations by incorporating the inherent uncertainties ...
Abstract: Scientists and engineers use computer simulations to study relationships between a physical model’s input parameters and its output predictions. However, thorough parameter studies---e.g., ...
Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
A course in Uncertainty Quantification with an emphasis on formulating and computation to extract predictions and uncertainty in computational and simulation models (including when real data ...
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