Author

G. Camps-Valls

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#machine learning Preprint Sep 2026

Optimization Geometry of Equivalent Brownian RKHS Representations

Equivalent finite parameterizations can represent the same functions and intrinsic norm yet induce different optimization algorithms. We study this effect in a controlled finite Brownian RKHS with nodal, increment, and spectral coordinates. Classical finite-element, RKHS-interpolation, Brownian-covariance, and mixed-bo...

Mahdi Mohammadigohari, G. Camps-Valls · 0 citations

Open access Sep 2025

Uncertainty-aware deep learning for wildfire danger forecasting

This work presents an uncertainty-aware DL framework that jointly captures epistemic (model) and aleatoric ( data) uncertainty to enhance short-term wildfire danger forecasting and significantly improves the accuracy and reliability of wildfire danger forecasting, advancing the development of trustworthy wildfire DL sy...

Spyros Kondylatos, N. Papadopoulos, G. Camps-Valls et al. · Machine Learning: Earth · 5 citations · ⚡1