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Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data., , , and . ICASSP, page 3862-3866. IEEE, (2020)Neural Network Approaches to Reconstruct Phytoplankton Time-Series in the Global Ocean., , , , , , , and . Remote. Sens., 12 (24): 4156 (2020)End-to-end learning of energy-based representations for irregularly-sampled signals and images., , and . CoRR, (2019)Variability of the endmembers in spectral unmixing: Recent advances., , and . WHISPERS, page 1-5. IEEE, (2016)On Transfer in Classification: How Well do Subsets of Classes Generalize?, , and . CoRR, (2024)Sliced-Wasserstein Gradient Flows., , , and . CoRR, (2021)Active Learning for Efficient Few-Shot Classification., , , and . ICASSP, page 1-5. IEEE, (2023)Subspace Detours Meet Gromov-Wasserstein., , , , and . Algorithms, 14 (12): 366 (2021)End-to-End Kalman Filter for the Reconstruction of Sea Surface Dynamics from Satellite Data., , , , , , and . IGARSS, page 7414-7417. IEEE, (2021)Physically Informed Neural Networks for the Simulation and Data-Assimilation of Geophysical Dynamics., , , , , , and . IGARSS, page 3490-3493. IEEE, (2020)