Ryan Lagerquist

1. Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning
   2019/08/22 by Amy McGovern, Ryan Lagerquist, David John Gagne +5 · 37 citations
   Earth and Planetary Sciences · Environmental Science · Computer Science · #Meteorological Phenomena and Simulations #Climate variability and models #Data Analysis with R
2. Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications
   2024/08/04 by Tom Beucler, Beucler, Tom, Arthur Grundner +9 · 3 citations
   Decision Sciences · Earth and Planetary Sciences · Environmental Science · #Air Quality Monitoring and Forecasting #Atmospheric and Oceanic Physics (physics.ao-ph) #Big Data Technologies and Applications #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations