Results 31 to 40 of about 78,109 (159)

Optimal Uncertainty Quantification [PDF]

SIAM Review, 2013
We propose a rigorous framework for Uncertainty Quantification (UQ) in which the UQ objectives and the assumptions/information set are brought to the forefront. This framework, which we call \emph{Optimal Uncertainty Quantification} (OUQ), is based on the observation that, given a set of assumptions and information about the problem, there exist ...
Owhadi, H., Scovel, C., Sullivan, T. J., McKerns, M., Ortiz, M.   +4 more
openaire   +3 more sources

Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures

Entropy, 2021
Uncertainty quantification for complex deep learning models is increasingly important as these techniques see growing use in high-stakes, real-world settings.
Benjamin Kompa, Jasper Snoek, Andrew L. Beam   +2 more
doaj   +1 more source

Democratizing uncertainty quantification

Journal of Computational Physics
Add Benjamin Kent as co-author in accordance with the paper's published ...
Seelinger L., Reinarz A., Lykkegaard M. B., Akers R., Alghamdi A. M. A., Aristoff D., Bangerth W., Bénézech J., Diez M., Frey K., Jakeman J. D., Jørgensen J. S., Kim K. T., Kent B. M., Martinelli M., Parno M., Pellegrini R., Petra N., Riis N. A. B., Rosenfeld K., Serani A., Tamellini L., Villa U., Dodwell T. J., Scheichl R.   +24 more
openaire   +6 more sources

Uncertainty quantification in breakup reactions

Physical Review C, 2022
Breakup reactions are one of the favored probes to study loosely bound nuclei, particularly those in the limit of stability forming a halo. In order to interpret such breakup experiments, the continuum discretized coupled channel method is typically used. In this study, the first Bayesian analysis of a breakup reaction model is performed.
Ö. Sürer, F. M. Nunes, M. Plumlee, S. M. Wild   +3 more
openaire   +4 more sources

Automated 3D cytoplasm segmentation in soft X-ray tomography

iScience
Summary: Cells’ structure is key to understanding cellular function, diagnostics, and therapy development. Soft X-ray tomography (SXT) is a unique tool to image cellular structure without fixation or labeling at high spatial resolution and throughput ...
Ayse Erozan, Philipp D. Lösel, Vincent Heuveline, Venera Weinhardt   +3 more
doaj   +1 more source

Detection and Evaluation of Spatio-Temporal Spike Patterns in Massively Parallel Spike Train Data with SPADE

Frontiers in Computational Neuroscience, 2017
Repeated, precise sequences of spikes are largely considered a signature of activation of cell assemblies. These repeated sequences are commonly known under the name of spatio-temporal patterns (STPs).
Pietro Quaglio, Alper Yegenoglu, Emiliano Torre, Emiliano Torre, Dominik M. Endres, Sonja Grün, Sonja Grün   +6 more
doaj   +1 more source

STRUCTURING UNCERTAINTY MANAGEMENT FOR ENERGY SAVINGS CALCULATIONS

South African Journal of Industrial Engineering, 2019
South Africa has committed itself to reducing its greenhouse gas emissions. A key strategy to minimise the greenhouse gas intensity involves using incentivised energy efficiency initiatives.
Johnson, Kristin , Hamer, Waldt , Vosloo, Jan   +2 more
doaj   +1 more source

Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0) [PDF]

Geoscientific Model Development, 2020
Geological uncertainty quantification is critical to subsurface modeling and prediction, such as groundwater, oil or gas, and geothermal resources, and needs to be continuously updated with new data.
Z. Yin, S. Strebelle, J. Caers
doaj   +1 more source

Uncertainty quantification in drug design

Drug Discovery Today, 2021
Machine learning and artificial intelligence are increasingly being applied to the drug-design process as a result of the development of novel algorithms, growing access, the falling cost of computation and the development of novel technologies for generating chemically and biologically relevant data.
Lewis H. Mervin, Simon Johansson, Elizaveta Semenova, Kathryn A. Giblin, Ola Engkvist   +4 more
openaire   +2 more sources

The Importance of Uncertainty Analysis and Traceable Measurements in Routine Quantitative ⁹⁰Y-PET Molecular Radiotherapy: A Multicenter Experience

Pharmaceuticals, 2023
Molecular Radiation Therapy (MRT) is a valid therapeutic option for a wide range of malignancies, such as neuroendocrine tumors and liver cancers. In its practice, it is generally acknowledged that there is a need to evaluate the influence of different ...
Marco D’Arienzo, Emilio Mezzenga, Amedeo Capotosti, Oreste Bagni, Luca Filippi, Marco Capogni, Luca Indovina, Anna Sarnelli   +7 more
doaj   +1 more source