Zong, Y., Barajas-Solano, D., & Tartakovsky, A. M. (2023). Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems. https://doi.org/10.48550/arxiv.2312.06177
Chicago Style (17th ed.) CitationZong, Yifei, David Barajas-Solano, and Alexandre M. Tartakovsky. Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems. 2023. https://doi.org/10.48550/arxiv.2312.06177.
MLA (9th ed.) CitationZong, Yifei, et al. Randomized Physics-Informed Machine Learning for Uncertainty Quantification in High-Dimensional Inverse Problems. 2023. https://doi.org/10.48550/arxiv.2312.06177.
Warning: These citations may not always be 100% accurate.