Anthony D. Gruber

Orcid: 0000-0001-7107-5307

According to our database1, Anthony D. Gruber authored at least 9 papers between 2019 and 2023.

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Bibliography

2023
Level Set Learning with Pseudoreversible Neural Networks for Nonlinear Dimension Reduction in Function Approximation.
SIAM J. Sci. Comput., June, 2023

A Multifidelity Monte Carlo Method for Realistic Computational Budgets.
J. Sci. Comput., 2023

2022
Energetically Consistent Model Reduction for Metriplectic Systems.
CoRR, 2022

2021
Level set learning with pseudo-reversible neural networks for nonlinear dimension reduction in function approximation.
CoRR, 2021

A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling.
CoRR, 2021

Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations.
CoRR, 2021

2020
Computational p-Willmore Flow with Conformal Penalty.
ACM Trans. Graph., 2020

2019
P-Willmore flow with quasi-conformal mesh regularization.
CoRR, 2019

Active Manifolds: A non-linear analogue to Active Subspaces.
Proceedings of the 36th International Conference on Machine Learning, 2019


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