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D. Tuia

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Open access Oct 2026

Enhancing the Spatial Resolution of Monthly Gravity Solutions Derived from SLR and DORIS

Monthly gravity-field solutions derived from satellite laser ranging (SLR) and Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) provide an observational record that extends well before the GRACE era but resolve only a limited range of spatial wavelengths. In this study, we implement deep learni...

Adrien Joliat, Jun-Yang Gou, Ellen Poli et al. · 0 citations
#machine learning Preprint Sep 2026

SAGE: A sampling-aware global evaluation benchmark for species distribution modeling

A Sampling-Aware Global Evaluation (SAGE) benchmark is introduced, combining GBIF records for training with sPlotOpen vegetation plots for presence-absence evaluation across 5771 plant species, and an evaluation framework that groups species based on two properties, sampling effort and relative prevalence is proposed.

Emilia Arens, Nina Van Tiel, Robin Zbinden et al. · 0 citations
Open access Aug 2026

CoDiT: conditional diffusion models for multi-day ocean drifter trajectory prediction

This work frames trajectory prediction as a denoising task and presents Conditional Diffusion models for Trajectories (CoDiT), which adapts the denoising diffusion framework, originally developed for image synthesis, to the problem of trajectory forecasting.

Christian Donner, Shirin Goshtasbpour, Emanuele Dalsasso et al. · 0 citations

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