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Daniel Kelshaw
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 8
Top Topics
Differential Equations
Geodesic Distance
Dynamical Systems
Manifold Learning
Top Venues
CoRR
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Publications
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Daniel Kelshaw
,
Luca Magri
Computing distances and means on manifolds with a metric-constrained Eikonal approach.
CoRR
(2024)
Daniel Kelshaw
,
Luca Magri
Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations.
CoRR
(2024)
Daniel Kelshaw
,
Luca Magri
Short and Straight: Geodesics on Differentiable Manifolds.
CoRR
(2023)
Daniel Kelshaw
,
Luca Magri
Manifold-augmented Eikonal Equations: Geodesic Distances and Flows on Differentiable Manifolds.
CoRR
(2023)
Daniel Kelshaw
,
Luca Magri
Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach.
CoRR
(2023)
Daniel Kelshaw
,
Luca Magri
Super-resolving sparse observations in partial differential equations: A physics-constrained convolutional neural network approach.
CoRR
(2023)
Daniel Kelshaw
,
Luca Magri
Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems.
CoRR
(2022)
Daniel Kelshaw
,
Georgios Rigas
,
Luca Magri
Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems.
CoRR
(2022)