Daniel Kelshaw
According to our database1,
Daniel Kelshaw
authored at least 7 papers
between 2022 and 2024.
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Bibliography
2024
Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations.
CoRR, 2024
2023
Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds.
CoRR, 2023
Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach.
CoRR, 2023
Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach.
CoRR, 2023
2022
Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems.
CoRR, 2022
Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems.
CoRR, 2022