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