UQ and Trustworthy AI Algorithms for Complex Systems and Social Good • IMSI

Description

This workshop will offer an overview and tutorials on a number of important AI algorithms, including deep neural networks, generative learning frameworks, and variational algorithms. It will also cover state-of-the-art UQ methods that have incorporated the latest AI/ML algorithms, and address how UQ can improve the trustworthiness of AI algorithms.

Organizers

J B

Julie Bessac Argonne National Laboratory

R B

Ramin Bostanabad University of California, Irvine

M G

Mengyang Gu University of California, Santa Barbara

E C L

Earl Christopher Lawrence Los Alamos National Laboratory

G L

Guang Lin Purdue University

A S

Arman Sabbaghi Purdue University