1 citations · 1 across the 1 of their papers we have counts for
2 papers
physics.ao-ph2026
Generative modelling for multivariate spatio-temporal downscaling of monthly climate fields
Yu Huang, Shangshang Yang, Sebastian Bathiany +3
Inferring climate fields at higher spatio-temporal resolutions from coarse representations is essential for accessing socioeconomic and environmental impacts. The downscaling of mo…
astro-ph.CO2026★ 1 cited
Towards an optimal extraction of cosmological parameters from galaxy cluster surveys using convolutional neural networks
Iñigo Sáez-Casares, Matteo Calabrese, Davide Bianchi +4
The possibility to constrain cosmological parameters from galaxy surveys using field-level machine learning methods that bypass traditional summary statistics analyses, depends cru…