Additional resources

  Courses

A few short courses relevant to model reduction are available on my github

  • Course 1 Non-linear manifold learning: SVD and kernel PCA
  • Course 2 Non-linear manifold learning: Autoencoders

  Documents

PhD dissertation

My PhD dissertation is available here.

PhD dissertation template

In collaboration with Flavien Loiseau, we made our Ph.D. thesis template openly available on Github..

CV

A more detailed version of my background can be found in my CV.

  Code

NeuROM (Daby-Seesaram, Škardová, and Genet 2024)

PyPI Downloads GitHub license DOI

The reduced-order modelling code used to create surrogate models based on an hybridisation of standard reduced-order modelling methods such as the PGD and Deep learning methods is public and notebooks with tutorials are also available.

Illustrations

Hybrid sparse neural network and Proper Generalised Decomposition (PGD)

Parametric interactive results

Feel free to interact with it.

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References

Daby-Seesaram, Alexandre, Kateřina Škardová, and Martin Genet. 2024. “Neurom.” Zenodo. https://doi.org/10.5281/zenodo.13907063.