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Valentin Delchevalerie

PhD Student

Interests

  • invariance in deep learning
  • numerical physics
  • dimensionality reduction

Education

  • M.Sc. in Physics, 2020

    University of Namur

  • B.Sc. in Physics, 2018

    University of Namur

Projects

  • FRIA Doctoral Project

Biography

Valentin received a Master’s degree in Physics in 2020, and he is currently a PhD student in Machine Learning. He is working on introducing rotation invariance, as well as other types of invariance, to Convolutional Neural Networks. This project is a multidisciplinary project, as the main objective is to exploit mathematical developments that are well-used in physics but not yet in Machine Learning.

Publications

Achieving Rotational Invariance with Bessel-Convolutional Neural Networks

Valentin Delchevalerie , Adrien Bibal , Benoît Frénay , Alexandre Mayer
Advances in Neural Information Processing Systems
December, 2021
Details PDF

Boundary-Based Fairness Constraints in Decision Trees and Random Forests

Géraldin Nanfack , Valentin Delchevalerie , Benoît Frénay
ESANN
October, 2021
Details PDF Project

Accelerating t-SNE using Fast Fourier Transforms and the Particle-Mesh Algorithm from Physics

Valentin Delchevalerie , Alexandre Mayer , Adrien Bibal , Benoît Frénay
IJCNN
July, 2021
Details PDF

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