Generative Adversarial Networks, and Autoencoders

Corey Adams, Argonne National Laboratory
Webinar Beginner
AI for Science Training

This module will introduce applications of GANS and autoencoders in scientific research.

Day and Time: January 13, 3-5 p.m. US CT

This session is a part of the ALCF AI for Science Training Series

About the Speakers

Corey Adams is an assistant computer scientist at the Argonne Leadership Computing Facility.  Originally a high-energy physicist working on neutrino physics problems,  he now works on applying deep learning and machine learning techniques to science problems – and still neutrino physics – on high-performance supercomputers.  He has experience in classification, segmentation, sparse convolutional neural networks as well as running machine learning training at scale.