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Predictions from modeling and simulation (M&S) are increasingly relied upon to inform critical decision making in a variety of ...

An overview of how Uncertainty Quantification software can help save time and money in the design and simulation process.

A brief overview of Uncertainty Quantification (UQ) and how it can help determine variations due to real world situations.

A quick 20 min introduction to various UQ methods for Deep Learning:- - Why is UQ required for Deep Learning - Bayesian NN ...

Channel's GitHub page hosting Jupyter Notebook: https://github.com/mtorabirad/MLBoost In this video, we explore the concept of ...

Implication of Uncertainty Quantification in Engineering. A brief description.

Preview the SmartUQ webinar: "From Uncertainty Propagation to Uncertainty Quantification: Using Analytics to Take Uncertainties ...

An Introduction to Uncertainty Quantification Useful links Seminar schedule: https://warwick.ac.uk/fac/sci/hetsys/outreach/toolkit/ ...

Speaker: Professor Eyke Hüllermeier (LMU) Titel: Uncertainty Quantification in Machine Learning: From Aleatoric to Epistemic ...

Okay so now I will talk about the main part of the talk where I will talk about practical methods for uncertainty quantification in these ...

Neural networks are infamous for making wrong predictions with high confidence. Ideally, when a model encounters difficult ...

www.pydata.org Uncertainty identification in machine learning is crucial for making robust decisions, enhancing model ...

In this video we dive into a brief overview of uncertainty quantification in nuclear engineering applications. We will explore both ...

This paper takes a fully probabilistic approach by modeling the joint distribution over questions and inputs, defining uncertainty as ...

Roger Ghanem is Professor of Civil and Environmental Engineering at the U of Southern California where he also holds the Tryon ...

Presented at the Argonne Training Program on Extreme-Scale Computing 2019. Slides for this presentation are available here: ...

MIT Introduction to Deep Learning 6.S191: Lecture 7 Evidential Deep Learning and Uncertainty Estimation Lecturer: Alexander ...

SPEAKER Daniel Williamson, University of Exeter.

... snuck the words uncertainty quantification into the title of this workshop i thought i'd start by actually just giving an introduction to ...