Author of the publication

NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators.

, , , and . SIAM Rev., 66 (1): 161-190 (February 2024)

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

L-HYDRA: Multi-Head Physics-Informed Neural Networks., and . CoRR, (2023)Correcting model misspecification in physics-informed neural networks (PINNs)., , and . CoRR, (2023)Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems., , , , , and . CoRR, (2022)Leveraging Multitime Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems., , , , and . SIAM J. Sci. Comput., 46 (2): 216- (2024)Uncertainty Quantification in Scientific Machine Learning: Methods, Metrics, and Comparisons., , , , and . CoRR, (2022)A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes., , , , , and . CoRR, (2023)NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators., , , and . CoRR, (2022)NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators., , , and . SIAM Rev., 66 (1): 161-190 (February 2024)Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators., , and . CoRR, (2023)Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems., , , , and . CoRR, (2023)