most citedMachine learning based stellar classification with highly sparse photometry data

4 citations · 5 across the 2 of their papers we have counts for

collaborators
Showing physics.ao-phShow all

2 papers · 1 filter

physics.ao-ph2020

Ensemble methods for neural network-based weather forecasts

Sebastian Scher, Gabriele Messori

Ensemble weather forecasts enable a measure of uncertainty to be attached to each forecast, by computing the ensemble's spread. However, generating an ensemble with a good spread-e…

physics.ao-ph2020

WeatherBench: A benchmark dataset for data-driven weather forecasting

Stephan Rasp, Peter D. Dueben, Sebastian Scher +3

Data-driven approaches, most prominently deep learning, have become powerful tools for prediction in many domains. A natural question to ask is whether data-driven methods could al…