Presentation Recordings

Presentation Recordings

When available, they will be posted individually below and added to this YouTube playlist.

Monday, June 22, 2020

AI4ESS Summer School Intro - Rich Loft, NCAR

Building a Strong Foundation: Defining ML Problems and Preprocessing - David John Gagne - NCAR

Machine Learning Fundamentals - Dorit Hammerling - Colorado School of Mines

Decision Trees and Ensembles - Ryan Lagerquist - University of Oklahoma

Panel Discussion

Hackathon Intro - David John Gagne - NCAR

Tuesday, June 23, 2020

Convolutional Neural Networks - Karthik Kashinath - Lawrence Berkeley National Laboratory

Recurrent Neural Networks and LSTMs - Chaopeng Shen - Penn State University

Deep Learning Architectures - David Hall - NVIDIA

Panel Discussion

Hackathon Update - David John Gagne - NCAR

Wednesday, June 24, 2020

ML in Weather Forecasting Systems - Sue Ellen Haupt - NCAR

ML for Segmentation of Atmospheric Phenomena - Jebb Stewart - NOAA ESRL

ML Emulators in Land Surface Models - Katie Dagon - NCAR

Panel Discussion

Hackathon Update - David John Gagne, NCAR

Thursday, June 25, 2020

Peering Inside the Black Box of Machine Learning for Earth Science - Part 1 - Amy McGovern - University of Oklahoma

Peering Inside the Black Box of Machine Learning for Earth Science - Part 2 - Imme Ebert-Uphoff - Colorado State University/CIRA

ML Parameterization - Mike Pritchard - UC Irvine

Panel Discussion

Hackathon Update - David John Gagne, NCAR

Friday, June 26, 2020

Generative Models - Mustafa Mustafa - Lawrence Berkeley National Laboratory

Physics-Guided ML - Pierre Gentine - Columbia University

Deep Unsupervised Learning for Climate Applications - Claire Monteleoni - University of Colorado Boulder

Panel Discussion

Hackathon Presentations - Ankur Mahesh (Lawrence Berkeley Lab), David John Gagne, Charlie Becker, Gabrielle Gantos (NCAR)