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Prithvi V1.0: Generalist Geospatial Foundation Model on Global HLS DataDaniela SzwarcmanSujit Royet al.2024AGU 2024
TerraTorch: an Open-source Framework for Fine-tuning Geospatial Foundation ModelsBianca ZadroznyCarlos Miguel Pina Vaz Gomeset al.2024AGU 2024
Finetuning the Geospatial Foundation model for Land Cover mappingDevyani LambhateAyush Jainet al.2024KDD 2024
Quantizing reconstruction losses for improving weather data synthesisDaniela SzwarcmanJorge Guevaraet al.2024Scientific Reports
Machine learning derived sub-seasonal to seasonal extremesDaniel Salles CivitareseBianca Zadrozny2023NeurIPS 2023
Direct Sampling for Spatially Variable Extreme Event Generation in Resampling-Based Stochastic Weather GeneratorsJorge GuevaraMaria Garciaet al.2023J. Adv. Model. Earth Syst.
Machine learning derived sub-seasonal to seasonal extremesDaniel Salles CivitareseBianca Zadrozny2023SBBD 2023
On Metric Analysis for Deep Weather GeneratorsMaysa Malfiza Garcia de MacedoDaniela Szwarcmanet al.2023AAAI 2023
Improving extreme weather generation and spatial variability of weather generators based on resampling using the Direct Sampling algorithmJorge Luis Guevara DiazMaria Julia De Castro Villafranca Garciaet al.2022AGU Fall 2022