Publications

PhD Manuscript

Olympio Hacquard. From topological features to machine learning models: a journey through persistence diagrams. [PDF] (2023)

Peer-reviewed publications

• Olympio Hacquard, Krishnakumar Balasubramanian, Gilles Blanchard, Clément Levrard and Wolfgang Polonik. Topologically penalized regression on manifolds. Journal of Machine Learning Research, 23(161):1−39. [PDF]. (2022).

• Patrick Cattiaux, Fanny Delebcque and Olympio Hacquard. Some flocking properties for a model of collective dynamics with topological interactions. Communications in Mathematical Sciences [PDF] (2024).

• Olympio Hacquard and Vadim Lebovici. Euler characteristic tools for topological data analysis. Journal of Machine Learning Research 25(240):1−39, 2024. [PDF] (2024).

• Michael Etienne Van Huffel, Olympio Hacquard, Vadim Lebovici, Matteo Palo. Discrete transforms of quantized persistence diagrams. ALENEX 25. [PDF] (2024).

Preprints

Olympio Hacquard, Gilles Blanchard and Clément Levrard. Statistical learning on measures: an application to persistence diagrams. arXiv:2303.08456. [PDF] (2023).

Other

Olympio Hacquard, Etienne Lasalle, Vadim Lebovici. Challenge Mathematics-Enterprise (1st place). Pedestrians trajectory reconstruction, Eurecam company. [PDF] (2021).