Zobrazeno 1 - 10
of 1 292
pro vyhledávání: '"Jakeman, P"'
Bayesian inference provides a powerful tool for leveraging observational data to inform model predictions and uncertainties. However, when such data is limited, Bayesian inference may not adequately constrain uncertainty without the use of highly inf
Externí odkaz:
http://arxiv.org/abs/2407.13814
Autor:
Lowery, Matthew, Turnage, John, Morrow, Zachary, Jakeman, John D., Narayan, Akil, Zhe, Shandian, Shankar, Varun
This paper introduces the Kernel Neural Operator (KNO), a novel operator learning technique that uses deep kernel-based integral operators in conjunction with quadrature for function-space approximation of operators (maps from functions to functions)
Externí odkaz:
http://arxiv.org/abs/2407.00809
This paper analyzes the approximate control variate (ACV) approach to multifidelity uncertainty quantification in the case where weighted estimators are combined to form the components of the ACV. The weighted estimators enable one to precisely group
Externí odkaz:
http://arxiv.org/abs/2402.14736
Autor:
Seelinger, Linus, Reinarz, Anne, Lykkegaard, Mikkel B., Akers, Robert, Alghamdi, Amal M. A., Aristoff, David, Bangerth, Wolfgang, Bénézech, Jean, Diez, Matteo, Frey, Kurt, Jakeman, John D., Jørgensen, Jakob S., Kim, Ki-Tae, Kent, Benjamin M., Martinelli, Massimiliano, Parno, Matthew, Pellegrini, Riccardo, Petra, Noemi, Riis, Nicolai A. B., Rosenfeld, Katherine, Serani, Andrea, Tamellini, Lorenzo, Villa, Umberto, Dodwell, Tim J., Scheichl, Robert
Uncertainty Quantification (UQ) is vital to safety-critical model-based analyses, but the widespread adoption of sophisticated UQ methods is limited by technical complexity. In this paper, we introduce UM-Bridge (the UQ and Modeling Bridge), a high-l
Externí odkaz:
http://arxiv.org/abs/2402.13768
Autor:
Zeng, Xiaoshu, Geraci, Gianluca, Eldred, Michael S., Jakeman, John D., Gorodetsky, Alex A., Ghanem, Roger
Multifidelity uncertainty quantification (MF UQ) sampling approaches have been shown to significantly reduce the variance of statistical estimators while preserving the bias of the highest-fidelity model, provided that the low-fidelity models are wel
Externí odkaz:
http://arxiv.org/abs/2304.08644
Autor:
Reese, William, Hart, Joseph, Waanders, Bart van Bloemen, Perego, Mauro, Jakeman, John, Saibaba, Arvind
Inverse problems constrained by partial differential equations (PDEs) play a critical role in model development and calibration. In many applications, there are multiple uncertain parameters in a model which must be estimated. Although the Bayesian f
Externí odkaz:
http://arxiv.org/abs/2212.12386
Autor:
Marta Kozior, Olusoji Aboyeji Demehin, Michelle Mary Ryan, Shane O’Connell, Philip Michael Jakeman
Publikováno v:
Nutrients, Vol 16, Iss 18, p 3110 (2024)
Background: An increase in plant-sourced (PS) nutrient intake is promoted in support of a sustainable diet. PS dietary minerals and proteins have bioactive properties that can affect bone health and the risk of fracture. Methods: In a group randomise
Externí odkaz:
https://doaj.org/article/9a40e5c65cea4078976b3904831a3f99
Autor:
Buluc, Aydin, Kolda, Tamara G., Wild, Stefan M., Anitescu, Mihai, DeGennaro, Anthony, Jakeman, John, Kamath, Chandrika, Kannan, Ramakrishnan, Lopes, Miles E., Martinsson, Per-Gunnar, Myers, Kary, Nelson, Jelani, Restrepo, Juan M., Seshadhri, C., Vrabie, Draguna, Wohlberg, Brendt, Wright, Stephen J., Yang, Chao, Zwart, Peter
Randomized algorithms have propelled advances in artificial intelligence and represent a foundational research area in advancing AI for Science. Future advancements in DOE Office of Science priority areas such as climate science, astrophysics, fusion
Externí odkaz:
http://arxiv.org/abs/2104.11079
Autor:
M Gabriela Cabanilla, Michael L Bernauer, Liana M Atallah, Matthew J Briski, Jason Koury, Cecilia M Thompson, Chelsea N Rodriguez, Bernadette Jakeman, Thomas F Byrd
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0304103 (2024)
BackgroundMethicillin-resistant Staphylococcus aureus (MRSA) is associated with high mortality rates. Despite antibiotic therapy, persistent bacteremia is challenging to treat. Combination therapy with ceftaroline has emerged as a potential treatment
Externí odkaz:
https://doaj.org/article/982ba26daf5c4ac9b872825fe4a2261b
We present an approach for constructing a surrogate from ensembles of information sources of varying cost and accuracy. The multifidelity surrogate encodes connections between information sources as a directed acyclic graph, and is trained via gradie
Externí odkaz:
http://arxiv.org/abs/2008.02672