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20182025
most citedOn the Empirical Neural Tangent Kernel of Standard Finite-Width Convolutional Neural Network Architectures

2 citations · 2 across the 3 of their papers we have counts for

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stat.AP2025

Bridging CORDEX and CMIP6: Machine Learning Downscaling for Wind and Solar Energy Droughts in Central Europe

Nina Effenberger, Maxim Samarin, Maybritt Schillinger +1

Reliable regional climate information is essential for assessing the impacts of climate change and for planning in sectors such as renewable energy; yet, producing high-resolution…

physics.ao-ph2025

EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules

Maybritt Schillinger, Maxim Samarin, Xinwei Shen +2

The practical use of future climate projections from global circulation models (GCMs) is often limited by their coarse spatial resolution, requiring downscaling to generate high-re…