Uncertainty Quantification Training For Application

Presenter: Sang-ri Yi, University of California, Berkeley This session covers brief introductions to the SimCenter and the quoFEM ...

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

Presenters: Aakash Bangalore Satish, UC Berkeley Adam Zsarnóczay, Stanford University This session introduces the custom ...

Title:

Slides and data sets available at: http://www.isric.org/

... is called verification valid validation and

Published at ICRA 2023 arxiv version: https://arxiv.org/abs/2305.20044.

In this video we dive into a brief overview of

Module 8.1 introduction to

A brief overview of

2025 ML Academy & Artiste Distinguished Lecture.

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

In this SEI Podcast, Dr. Eric Heim, a senior machine learning research scientist at the Software Engineering Institute at Carnegie ...

This is a quick video brief on a new paper published by Ni Zhan and myself on

In deep learning and computer vision, it is common for data to present certain. As we begin deploying machine learning models in ...

Uncertainty Quantification

In this lecture, we will motivate why the successful

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