3 citations · 3 across the 2 of their papers we have counts for
3 papers
PROSWIN: Probabilistic Solar Wind Speed Forecasting Using Deep Distributional Regression From Solar Images
Daniel Collin, Yuri Shprits, Luca Chiarabini +3
Accurately predicting fast solar wind conditions is challenging, as uncertainties are large and unquantified by traditional single-value prediction models. In particular, the risks…
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identification
Zi Yang, Haojin Yang, Soumajit Majumder +2
Previous studies have demonstrated that not each sample in a dataset is of equal importance during training. Data pruning aims to remove less important or informative samples while…
Forecasting High-Speed Solar Wind Streams from Solar Images
Daniel Collin, Yuri Shprits, Stefan J. Hofmeister +2
The solar wind, a stream of charged particles originating from the Sun and transcending interplanetary space, poses risks to technology and astronauts. In this work, we develop a p…