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cs.LG2022
A Simple Way to Learn Metrics Between Attributed Graphs
Yacouba Kaloga, Pierre Borgnat, Amaury Habrard
The choice of good distances and similarity measures between objects is important for many machine learning methods. Therefore, many metric learning algorithms have been developed…
physics.ao-ph2022★ 8 cited
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
George Miloshevich, Bastien Cozian, Patrice Abry +2
Understanding extreme events and their probability is key for the study of climate change impacts, risk assessment, adaptation, and the protection of living beings. Forecasting the…