Mattéo Clémot

PhD student in computer science

I am a PhD student in topological data analysis at the Université Lyon 1.

Education

2023–2026 Ph.D. student in computer science
Dimensionality reduction under topological constraints
Supervised by Julie Digne (LIRIS) & Julien Tierny (LIP6)
Part of the project TORI
2019–2022 Bachelor's and master's degree in fundamental computer science
ENS de Lyon
2016–2018 Classe préparatoire aux grandes écoles, MPSI - MP*
Lycée Condorcet, Paris

Publication

Neural skeleton: implicit neural representation away from the surface, Mattéo Clémot, Julie Digne, Shape Modeling International 2023, Computer & Graphics. Presented at IGS'23.
Code GRSI HAL Slides

Research internships

Feb.–Apr.
2023
Vector-field design on implicit SDFs
Supervised by Amir Vaxman
Institute of Perception, Action and Behaviour, The University of Edinburgh
Oct.–Dec.
2022
Solving ill-posed inverse problems involving partial differential equations with neural networks
Supervised by Elisa Riccietti & Stefania Bellavia
Team DANTE, LIP, Lyon
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Feb.–July
2022
Learning the topology of shapes given by point clouds
Supervised by Julie Digne
Team Origami, LIRIS, Lyon
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Code
Apr.–July
2021
Surface reconstruction with Delaunay complexes
Supervised by Dominique Attali
Team GAIA, GIPSA-lab, Grenoble
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June–July
2020
Links between tropical linear programming, mean payoff games and parity games
Supervised by Stéphane Gaubert & Xavier Allamigeon
Team Tropical, INRIA Saclay & CMAP (École polytechnique), Palaiseau
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Other

Other works

June 2019
TIPE pour le concours ENS
Algorithmique de la planification de mouvement
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June 2018
TIPE pour le concours ENS
Simulation des systèmes gravitationnels et application à la cosmologie
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Competitions

Dec. 2022 TRACS 2022 6/96
Feb. 2022 Google Hash Code 2022 611/9031
Dec. 2021 TRACS 2021 7/94