Zongren Zou
Orcid: 0009-0000-0095-3539
According to our database1,
Zongren Zou
authored at least 14 papers
between 2022 and 2024.
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Bibliography
2024
NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators.
SIAM Rev., February, 2024
Leveraging Multitime Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems.
SIAM J. Sci. Comput., 2024
J. Comput. Phys., 2024
A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks.
CoRR, 2024
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learning.
CoRR, 2024
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
2023
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons.
J. Comput. Phys., March, 2023
Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators.
CoRR, 2023
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression.
CoRR, 2023
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes.
CoRR, 2023
Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems.
CoRR, 2023
2022
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems.
CoRR, 2022