3 citations · 3 across the 4 of their papers we have counts for
4 papers
Do AI weather models miss extremes?
Marvin Vincent Gabler, Roberto Molinaro, Niall Siegenheim +5
AI weather models are often reported to underestimate extremes, but most evidence concerns deterministic regression models verified against reanalysis. We evaluate twelve physical…
Universal Diffusion-Based Probabilistic Downscaling
Roberto Molinaro, Niall Siegenheim, Henry Martin +4
We introduce a universal diffusion-based downscaling framework that lifts deterministic low-resolution weather forecasts into probabilistic high-resolution predictions without any…
EPT-2 Technical Report
Roberto Molinaro, Niall Siegenheim, Niels Poulsen +12
We present EPT-2, the latest iteration in our Earth Physics Transformer (EPT) family of foundation AI models for Earth system forecasting. EPT-2 delivers substantial improvements o…
NeRFmentation: NeRF-based Augmentation for Monocular Depth Estimation
Casimir Feldmann, Niall Siegenheim, Nikolas Hars +6
The capabilities of monocular depth estimation (MDE) models are limited by the availability of sufficient and diverse datasets. In the case of MDE models for autonomous driving, th…