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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 ...

We apply advanced uncertainty quantification techniques, such as non-intrusive multi-element polynomial chaos, which allow us ...

Our long oral for UNSURE2020 @ MICCAI2020. Paper: https://arxiv.org/abs/2008.08837 Code: ...

Recorded 05 February 2026. Mohamed Iskandarani of the University of Miami presents "Uncertainty Quantification in ...

By Bangti Jin, recorded at the Synergistic Reconstruction Symposium 2019.

In this online course you will learn to apply Structured Expert Judgment, the most rigorous method to support your decision ...

Recorded 15 July 2025. Benjamin Zhang of Brown University presents "Probabilistic operator learning: generative modeling and ...

Authors: Richard E.L. Higgins, David Fouhey, Dichang Zhang, Spiro K Antiochos, Graham Barnes, Jon Hoeksema, K.D. Leka, ...

Presented virtually at the Unconference session at the Oxford Machine Learning summer school, 2021. Paper: ...

Speaker: Giuseppe Catalanotti, MSc in Mechanical Engineering from the University of Palermo and PhD in Mechanical ...

This is a recorded presentation from the first online workshop on multiscale modelling, uncertainty quantification and reliability of ...

North West Seminar Series of Mathematical Biology and Data Science Monday, 30th November 2020 (hosted by Carl Whitfield) ...

... Bayesian Uncertainty Quantification for Safe Clinical Decision Support. arXiv:2511.16625v1. http://arxiv.org/abs/2511.16625v1 ...

Slides and data sets available at: http://www.isric.org/training/hands-global-soil-information-facilities-2015 Recordings and video ...

This talk summarizes our past and present work on uncertaintity quantification for DFT. How can you determine error bars for your ...

Recorded 29 October 2025. Thomas Swinburne of the University of Michigan and CNRS presents "Functional simulations for ...

Mahima Chander and William Harrington Faculty Advisor: Dr. Quaife Graduate Student Mentor: Michael Schneier.

In this video I present my research on uncertainty quantification for community detection. This is joint work with Bas Kleijn from the ...

HAFTKA EML 6934T Fall 2013 Lecture 3 College of Engeering, University of Florida www.ufedge.ufl.edu EML6934 VV&UQ&R ...

Presenter: Michael Baudin.

In this webinar, Jeff Caers presents a new framework termed “Bayesian Evidential Learning” (BEL) that streamlines the integration ...

... why are we interested in in uncertainty quantification um and recovering some kind of statistical information about um about the ...

Matt Moores gave a talk for the TIDE Seminar Series.

0:00 Reminders 2:31 Masked language modeling (MLM) 9:09 Finetuning a MLM-pretrained model 21:09 Language modeling ...

Uncertainty Quantification in Machine Learning: Federated Conformal Prediction.