Data Assimilation in the Latent Space of a Convolutional Autoencoder
Maddalena Amendola, Rossella Arcucci, Laetitia Mottet, César Quilodrán Casas, Shiwei Fan, Christopher C. Pain, P. F. Linden, Yike Guo
Topics & Concepts
AutoencoderComputer scienceData assimilationKalman filterState-space representationDynamic Bayesian networkInferenceArtificial intelligenceDynamic dataState spaceRepresentation (politics)Artificial neural networkMachine learningAlgorithmBayesian probabilityProgramming languageMeteorologyPolitical sciencePoliticsStatisticsMathematicsLawPhysicsTime Series Analysis and ForecastingMeteorological Phenomena and SimulationsGaussian Processes and Bayesian Inference