Juan Esteban Suarez Cardona

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 4

Top Topics

Partial Differential Equations

Top Venues

Mach. Learn. Sci. Technol.

Publications

Juan Esteban Suarez Cardona, Michael Hecht
Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power. Mach. Learn. Sci. Technol. 4 (4) (2023)
Chethan Krishnamurthy Ramanaik, Juan Esteban Suarez Cardona, Anna Willmann, Pia Hanfeld, Nico Hoffmann, Michael Hecht
Ensuring Topological Data-Structure Preservation under Autoencoder Compression due to Latent Space Regularization in Gauss-Legendre nodes. CoRR (2023)
Juan Esteban Suarez Cardona, Phil-Alexander Hofmann, Michael Hecht
Learning Partial Differential Equations by Spectral Approximates of General Sobolev Spaces. CoRR (2023)
Juan Esteban Suarez Cardona, Michael Hecht
Replacing Automatic Differentiation by Sobolev Cubatures fastens Physics Informed Neural Nets and strengthens their Approximation Power. CoRR (2022)