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Articles

[2412.05175] Variational Encoder-Decoders for Learning Latent Representations of Physical Systems

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By David Barajas-Solano
| arxiv.org
[Submitted on 6 Dec 2024] Title:Variational Encoder-Decoders for Learning Latent Representations of Physical Systems View a PDF of the paper titled Variational Encoder-Decoders for Learning Latent Representations of Physical Systems, by Subashree Venkatasubramanian and David A.
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[2312.06177] Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems

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By Alexandre M. Tartakovsky, David Barajas-Solano
| arxiv.org
[Submitted on 11 Dec 2023 ( v1 ), last revised 23 Dec 2023 (this version, v2)] Title:Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems Download a PDF of the paper titled Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems, by Yifei Zong and David Barajas-Solano and Alexandre M.
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