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Data Assimilation in the Latent Space of a Convolutional Autoencoder.

, , , , , , , и . ICCS (5), том 12746 из Lecture Notes in Computer Science, стр. 373-386. Springer, (2021)

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Christopher C Strelioff

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Agnes Maria Irene Paintner

 

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Nuclear Reactor Reactivity Prediction Using Feed Forward Artificial Neural Networks., , , , , , , и . ISNN (1), том 5263 из Lecture Notes in Computer Science, стр. 400-409. Springer, (2008)Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network., , , и . CoRR, (2020)A Domain Decomposition Reduced Order Model with Data Assimilation (DD-RODA)., , , , , , , и . PARCO, том 36 из Advances in Parallel Computing, стр. 189-198. IOS Press, (2019)Data Assimilation in the Latent Space of a Neural Network., , , , , , , и . CoRR, (2020)Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19., , , и . CoRR, (2021)Adaptive Domain Decomposition for Effective Data Assimilation., , , , , и . Euro-Par Workshops, том 11997 из Lecture Notes in Computer Science, стр. 583-595. Springer, (2019)Hybrid Data Assimilation: An Ensemble-Variational Approach., , , , и . SITIS, стр. 633-640. IEEE, (2019)Solving the Discretised Neutron Diffusion Equations using Neural Networks., , , , и . CoRR, (2023)Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves., , , и . CoRR, (2020)Minimising the error in eigenvalue calculations involving the Boltzmann transport equation using goal-based adaptivity on unstructured meshes., , , , , и . J. Comput. Phys., (2013)