About
I am a postdoctoral researcher at the Machine Learning Genoa Center (MaLGa), where I work under the supervision of Lorenzo Rosasco.
Prior to that, I completed a PhD in applied mathematics in December 2023 in Toulouse, France, under the supervision of Francois Malgouyres and Francois Bachoc.
Research interests:
- Physics-informed machine learning
- Deep learning theory
- Geometry of ReLU networks
- Kernel methods
Publications
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Geometry-induced Regularization in Deep ReLU Neural NetworksConsult
Joachim Bona-Pellissier, Francois Malgouyres, Francois Bachoc. Preprint, 2024.
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Parameter identifiability of a deep feedforward ReLU neural networkConsult
Joachim Bona-Pellissier, Francois Bachoc, Francois Malgouyres. Machine Learning, 2023.
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Local Identifiability of Deep ReLU Neural Networks: the TheoryConsult
Joachim Bona-Pellissier, Francois Malgouyres, Francois Bachoc. NeurIPS 35, 2022.
Talks
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2026
MATH4AIML - UMI Workshop, Sapienza Universita di Roma, Italy.
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2025
Representations Neuronales Implicites : des NeRF aux PINN, Institut Henri Poincare, Paris, France.
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2025
NPTwins, Universita di Messina, Italy.
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2024
MML seminar, Max Planck Institute MIS + UCLA, online.
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2022
3IA Doctoral Workshop, MIAI institute, Universite Grenoble Alpes, Grenoble, France.
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2022
Research school "Statistical and geometric discrepancies for machine learning", Centre Henri Lebesgue, Rennes, France.
Teaching
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2023
Machine Learning tutorial and practical, Paul Sabatier University, Toulouse.
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2023
Linear Algebra tutorial, Universite Toulouse 3 Paul Sabatier.
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2022
Deep Learning practical, graduate mathematics, Toulouse.
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2022
Optimization practical, graduate mathematics, Toulouse.
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2020
Convex Optimization tutorial, Universite Toulouse 1 Capitole.
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2020
Methods of mathematical analysis tutorial, Universite Toulouse 1 Capitole.