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Estimating Crop Primary Productivity with Sentinel-2 and Landsat 8 using Machine Learning Methods Trained with Radiative Transfer Simulations., , , , , , and . CoRR, (2020)Warped Gaussian Processes in Remote Sensing Parameter Estimation and Causal Inference., , , and . CoRR, (2020)Learning latent functions for causal discovery., , , and . Mach. Learn. Sci. Technol., 4 (3): 35004 (September 2023)Perspective on Deep Learning for Earth Sciences.. Generalization with Deep Learning, WorldScientific, (2021)Replacing radiative transfer models by surrogate approximations through machine learning., , , , and . IGARSS, page 633-636. IEEE, (2015)Active emulation of computer codes with Gaussian processes - Application to remote sensing., , and . CoRR, (2019)Sensitivity maps of the Hilbert-Schmidt independence criterion., and . Appl. Soft Comput., (2018)Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes., , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (12): 4918-4931 (2018)Unsupervised Deep Feature Extraction for Remote Sensing Image Classification., , and . IEEE Trans. Geosci. Remote. Sens., 54 (3): 1349-1362 (2016)Efficient Nonlinear RX Anomaly Detectors., , , and . IEEE Geosci. Remote. Sens. Lett., 18 (2): 231-235 (2021)