2019 Agenda

07:00 - 08:00 Check-in / Light Breakfast All

08:00 - 08:10 Opening remarks Karthik Kashinath

08:10 - 09:00 Introduction to Data Science, Datasets and Pre-processing Sol Kim, Will Chapman

09:00 - 10:00 Introduction to Machine Learning Ankur Mahesh

10:00 - 10:15 Break

10:15 - 11:30 Introduction to Supervised Deep Learning Mayur Mudigonda

11:30 - 12:00 Introduction to Unsupervised Deep Learning Jinlong Wu

12:00 - 13:00 Working Lunch + Panel Discussion Christiane Jablonowski, Carlos Gaitan, Juliane Mueller, Arti Garg, Jebb Stewart

13:00 - 14:00 Interpretability of ML and DL models Ben Toms

14:00 - 14:30 Physics-informed Knowledge-guided Machine Learning Karthik Kashinath

14:30 - 14:45 Break

14:45 - 15:15 Cutting-edge Applications of ML/DL Ben Toms, Adrian Albert

15:15 - 15:45 Scaling Deep Learning Models on a supercomputer Steven Farrell

15:45 - 15:55 New technologies to port ML/DL models into traditional codes Mike Pritchard (Associate Professor, UCI)

15:55 - 16:00 Closing remarks Karthik Kashinath