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Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce Data., , , , and . ICASSP, page 1-5. IEEE, (2023)Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities., , , , , and . ICASSP, page 1-5. IEEE, (2023)Learning Sentinel-2 Reflectance Dynamics for Data-Driven Assimilation and Forecasting., , , , and . EUSIPCO, page 1390-1394. IEEE, (2023)Geometry-Preserving Lie Group Integrators for Differential Equations on the Manifold of Symmetric Positive Definite Matrices., , , and . GSI (2), volume 14072 of Lecture Notes in Computer Science, page 433-443. Springer, (2021)Learning Ocean Dynamical Priors from Noisy Data Using Assimilation-Derived Neural Nets., , , , , , , , and . IGARSS, page 9451-9454. IEEE, (2019)Sea Surface Dynamics Reconstruction Using Neural Networks Based Kalman Filter., , , , , , , and . IGARSS, page 10059-10062. IEEE, (2019)Classification Using Unmixing Models in Areas With Substantial Endmember Variability., , , , and . WHISPERS, page 1-4. IEEE, (2018)Hyperspectral unmixing with material variability using social sparsity., , , , and . ICIP, page 2187-2191. IEEE, (2016)Assimilation-Based Learning of Chaotic Dynamical Systems from Noisy and Partial Data., , , and . ICASSP, page 3862-3866. IEEE, (2020)On Transfer in Classification: How Well do Subsets of Classes Generalize?, , and . CoRR, (2024)