Adrian Celaya
Orcid: 0000-0003-0041-7239
According to our database1,
Adrian Celaya
authored at least 13 papers
between 2021 and 2025.
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Bibliography
2025
Learning Discontinuous Galerkin Solutions to Elliptic Problems via Small Linear Convolutional Neural Networks.
CoRR, February, 2025
An Adaptive Collocation Point Strategy For Physics Informed Neural Networks via the QR Discrete Empirical Interpolation Method.
CoRR, January, 2025
2024
CoRR, 2024
Solutions to elliptic and parabolic problems via finite difference based unsupervised small linear convolutional neural networks.
Comput. Math. Appl., 2024
Inversion of Time-Lapse Surface Gravity Data for Monitoring of 3D CO<sub>2</sub> Plumes via Physics Informed Neural Networks.
Proceedings of the 2024 SIAM Conference on Parallel Processing for Scientific Computing, 2024
2023
IEEE Trans. Medical Imaging, April, 2023
Inversion of Time-Lapse Surface Gravity Data for Detection of 3-D CO<sub>2</sub> Plumes via Deep Learning.
IEEE Trans. Geosci. Remote. Sens., 2023
Joint inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO<sub>2</sub> Plumes via Deep Learning.
CoRR, 2023
FMG-Net and W-Net: Multigrid Inspired Deep Learning Architectures For Medical Imaging Segmentation.
CoRR, 2023
A Weighted Normalized Boundary Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation.
CoRR, 2023
2022
Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO<sub>2</sub> Plumes via Deep Learning.
CoRR, 2022
2021
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy.
CoRR, 2021