Autores, Editores y Críticos de Begell House

Dongbin Xiu(open in a new tab)

Department of Mathematics, The Ohio State University, Columbus, 43210 Ohio, USA
Obtenga más información sobre el autor en el Directorio de Especialistas

Journals

International Journal for Uncertainty Quantification
Journal of Machine Learning for Modeling and Computing

Articles

FAST METHOD FOR HIGH-FREQUENCY ACOUSTIC SCATTERING FROM RANDOM SCATTERERS Vol. 1 '2011 - International Journal for Uncertainty Quantification
DEEP LEARNING OF PARAMETERIZED EQUATIONS WITH APPLICATIONS TO UNCERTAINTY QUANTIFICATION Vol. 11 '2021 - International Journal for Uncertainty Quantification
IMPROVING ACCURACY AND COMPUTATIONAL EFFICIENCY OF OPTIMAL DESIGN OF EXPERIMENTS VIA GREEDY BACKWARD APPROACH Vol. 14 '2024 - International Journal for Uncertainty Quantification
INTERACTIVE VISUALIZATION OF PROBABILITY AND CUMULATIVE DENSITY FUNCTIONS Vol. 2 '2012 - International Journal for Uncertainty Quantification
UNCERTAINTY QUANTIFICATION OF SCIENTIFIC PROPOSAL EVALUATIONS Vol. 6 '2016 - International Journal for Uncertainty Quantification
LEARNING REDUCED SYSTEMS VIA DEEP NEURAL NETWORKS WITH MEMORY Vol. 1 '2020 - Journal of Machine Learning for Modeling and Computing
DEEP LEARNING OF CHAOTIC SYSTEMS FROM PARTIALLY-OBSERVED DATA Vol. 3 '2022 - Journal of Machine Learning for Modeling and Computing
LEARNING FINE SCALE DYNAMICS FROM COARSE OBSERVATIONS VIA INNER RECURRENCE Vol. 3 '2022 - Journal of Machine Learning for Modeling and Computing
MODELING UNKNOWN DYNAMICAL SYSTEMS WITH HIDDEN PARAMETERS Vol. 3 '2022 - Journal of Machine Learning for Modeling and Computing
FLOW MAP LEARNING FOR UNKNOWN DYNAMICAL SYSTEMS: OVERVIEW, IMPLEMENTATION, AND BENCHMARKS Vol. 4 '2023 - Journal of Machine Learning for Modeling and Computing