Eric G. Daub

According to our database, Eric G. Daub authored at least 4 papers between 2005 and 2025.

Collaborative distances:

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

2025

FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design.

Tom Dunstan, Oliver Strickson, Thusal Bennett, Jack Bowyer, Matthew Burnand, James Chappell, Alejandro Coca-Castro, Kirstine Ida Dale, Eric G. Daub, Noushin Eftekhari, Manvendra Janmaijaya, Jon Lillis, David Salvador Jasin, Nathan Simpson, Ryan Sze-Yin Chan, Mohamad Elmasri, Lydia Allegranza France, Sam Madge, Levan Bokeria, Hannah Brown, Tom Dodds, Anna-Louise Ellis, David Llewellyn-Jones, Theo McCaie, Sophia Moreton, Tom Potter, James Robinson, Adam A. Scaife, Iain Stenson, David Walters, Karina Bett-Williams, Louisa van Zeeland, Peter Yatsyshin, J. Scott Hosking

CoRR, September, 2025

AutoEmulate: A Python package for semi-automated emulation.

Martin A. Stoffel, Bryan M. Li, Kalle Westerling, Sophie Arana, Maximilian Balmus, Eric G. Daub, Steven A. Niederer

J. Open Source Softw., May, 2025

2019

Machine Learning Approach to Earthquake Rupture Dynamics.

Sabber Ahamed, Eric G. Daub

CoRR, 2019

2005

Quantifying optimal accuracy of local primary sequence bioinformatics methods.

Daniel P. Aalberts, Eric G. Daub, Jesse W. Dill

Bioinform., 2005