Juan Esteban Suarez Cardona

Orcid: 0000-0002-1990-2413

According to our database1, Juan Esteban Suarez Cardona authored at least 5 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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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

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


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