This event is part of Uncertainty Quantification and AI for Complex Systems View Details

UQ and Trustworthy AI Algorithms for Complex Systems and Social Good

Description

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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

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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