Session 5B Environet

Tuesday, 14 January 2020: 1:30 PM-2:30 PM
156BC (Boston Convention and Exhibition Center)

Cochairs:
Karthik Kashinath, LBNL, National Energy Research Scientific Computing Center (NERSC), Berkeley, CA and Karthik mukkavilli, Environet

Description:

Presentations on the status of the Environet Initiative and insights from AI applied to Environet datasets.


Papers:
1:30 PM
5B.1
Environet: A Project Update
Surya Karthik Mukkavilli, Montreal Institute for Learning Algorithms (Mila), Montreal, QC, Canada; McGill University, Montreal, QC, Canada

1:45 PM
5B.2
ClimateNet: Bringing the power of Deep Learning to weather and climate sciences via open datasets and architectures
Karthik Kashinath, LBNL, Berkeley, CA; and M. Mudigonda, K. Yang, J. Chen, A. Greiner, and M. Prabhat

2:00 PM
5B.3
Community Earth System Science Datasets from NCAR
David John Gagne II, NCAR, Boulder, CO; and R. D. Loft and N. Flyer

2:15 PM
5B.4
IceNet: A large-scale dataset for tracking ice flow using unsupervised learning with adversarial networks
Yimeng Min, Montreal Institute for Learning Algorithms (Mila), Montreal, QC, Canada; and S. K. Mukkavilli and Y. Bengio

Abstract Submissions Closed



See more of: 19th Conference on Artificial Intelligence for Environmental Science
<< Previous Session | Next Session >>