Juan Esteban Suarez Cardona
Orcid: 0000-0002-1990-2413
According to our database1,
Juan Esteban Suarez Cardona
authored at least 6 papers
between 2022 and 2024.
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Bibliography
2024
Ensuring Topological Data-Structure Preservation under Autoencoder Compression Due to Latent Space Regularization in Gauss-Legendre Nodes.
Axioms, August, 2024
Negative order sobolev cubatures: preconditioners of partial differential equation learning tasks circumventing numerical stiffness.
Mach. Learn. Sci. Technol., 2024
Hybrid Surrogate Models: Circumventing Gibbs Phenomenon for Partial Differential Equations with Finite Shock-Type Discontinuities.
CoRR, 2024
2023
Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power.
Mach. Learn. Sci. Technol., December, 2023
Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces.
CoRR, 2023
2022
Replacing Automatic Differentiation by Sobolev Cubatures fastens Physics Informed Neural Nets and strengthens their Approximation Power.
CoRR, 2022