Sep 18, 2023 · To address these challenges, this study presents a novel assimilation framework, termed Latent Assimilation with Implicit Neural Representations ...
Our framework is designed to assimilate data from systems with partially or even completely unknown dynamics. By proposing a new variant of the implicit neural ...
Mar 23, 2024 · It aims to integrate information from various data sources, such as in-situ measurements, satellite, and radar observations [41] , with existing ...
Oct 3, 2023 · To address these challenges, this study presents a novel assimilation framework, termed Latent Assimilation with Implicit Neural Representations ...
Mar 27, 2024 · In this work, we show that a non-uniform quantization of neural weights can lead to significant improvements. ... [Show full abstract] ...
Latent assimilation with implicit neural representations for unknown dynamics ; Journal: Journal of Computational Physics, 2024, p. 112953 ; Publisher: Elsevier ...
Mar 22, 2024 · Data assimilation is crucial in a wide range of applications, but it often faces challenges such as high computational costs due to data ...
Jun 14, 2024 · Latent assimilation with implicit neural representations for unknown dynamics. J. Comput. Phys. 506: 112953 (2024). [j31]. view. electronic ...
README. LAINR. Official repository for the article: Latent assimilation with implicit neural representations for unknown dynamics. arXiv; journal.
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Sep 28, 2023 · Latent assimilation with implicit neural representations for unknown dynamics(arXiv). Author : Zhuoyuan Li, Bin Dong, Pingwen Zhang. Abstract ...