Ryan Lagerquist

According to our database, Ryan Lagerquist authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery.

Ryan Lagerquist, Galina Chirokova, Robert DeMaria, Mark DeMaria, Imme Ebert-Uphoff

CoRR, 2024

Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications.

Tom Beucler, Arthur Grundner, Sara Shamekh, Peter Ukkonen, Matthew Chantry, Ryan Lagerquist

CoRR, 2024

2022

Can we integrate spatial verification methods into neural-network loss functions for atmospheric science?

Ryan Lagerquist, Imme Ebert-Uphoff

CoRR, 2022

2021

CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences - Version 1.

Imme Ebert-Uphoff, Ryan Lagerquist, Kyle Hilburn, Yoonjin Lee, Katherine Haynes, Jason Stock, Christina Kumler, Jebb Q. Stewart

CoRR, 2021