Author of the publication

Multifidelity Information Fusion Algorithms for High-Dimensional Systems and Massive Data sets.

, , and . SIAM J. Sci. Comput., (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Inferring solutions of differential equations using noisy multi-fidelity data., , and . CoRR, (2016)Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data., , , and . J. Comput. Phys., (2019)Understanding and mitigating gradient pathologies in physics-informed neural networks., , and . CoRR, (2020)Physics-informed machine learning, , , , , and . Nature Reviews Physics, 3 (6): 422--440 (2021)Semi-supervised Invertible DeepONets for Bayesian Inverse Problems., , and . CoRR, (2022)Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks., , , , and . CoRR, (2023)Random Weight Factorization Improves the Training of Continuous Neural Representations., , , and . CoRR, (2022)Learning Only on Boundaries: A Physics-Informed Neural Operator for Solving Parametric Partial Differential Equations in Complex Geometries., , und . Neural Comput., 36 (3): 475-498 (March 2024)Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems., und . CoRR, (2019)Multi-fidelity Gaussian process regression for prediction of random fields., , , und . J. Comput. Phys., (2017)