38 citations · 58 across the 29 of their papers we have counts for
Showing 2026 · cs.LGShow all
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cs.LG2026
Skillful and realistic precipitation forecasting with reinforced diffusion
Ozan Sener, Anand Avati, David Hafner +7
Accurate precipitation forecasting remains elusive as physics-based models struggle to resolve mesoscale convection and machine learning often yields physically inconsistent, blurr…
cs.LG2026
Beyond Parameter Space: NTK-Guided Personalized Aggregation for Robust Federated Learning
Mirko Konstantin, Stefan Zachow, Anirban Mukhopadhyay
Federated learning (FL) enables collaborative model training across distributed clients while keeping data local. A central challenge is determining which client updates are benefi…