Have fun taking a look at couple scientific productions: publications, preprints or softwares!
Publications
2025
[J4] Fleury M.A.*, Ohl. L.*, Tastet L., Leclercq M., Precioso F., and 13 more. Unsupervised Machine Learning Analysis to Enhance Risk Stratification in Patients with Asymptomatic Aortic Stenosis. [European Heart Journal - Digital Health]
[J3] Ohl L., Mattei P.A. & Precioso F. A Tutorial on Discriminative Clustering and Mutual Information. [ACM Computing Surveys][Arxiv]
[C2] Ohl L. & Lindsten F. Discriminative Ordering Through Ensemble Consensus. [UAI. ] [Arxiv] [Code]
2024
[J2] Sanabria M., Tastet L., Pelletier S., Leclercq M., Ohl L., Hermann L., Mattei P.A., Precioso F, Coté N., Pibarot P., & Droit A. AI-enhanced prediction of aortic stenosis progression: insights from the PROGRESSA study. JACC: Advances. (October 2024). [JACC: Advances]
[J1] Ohl L., Mattei PA., Bouveyron C., Leclercq M., Droit A., & Precioso F. Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection. Stat Comput 34, 155 (2024). [Statistics and Computing][Arxiv][Code]
2022
[C1] Ohl L., Mattei P. A., Bouveyron C., Harchaoui W., Leclercq M., Droit A., & Precioso F. Generalised Mutual Information for Discriminative Clustering. In Advances in Neural Information Processing Systems. (2022, October). [NeurIPS] [Arxiv] [Code]
Softwares
2023
[S1] GemClus, a Python package for discriminative clustering using GEMINI [Documentation] [Code]
Preprints and working papers
2024
Ohl, L., Mattei, P. A., Leclercq, M., Droit, A., & Precioso, F. (2024). Kernel KMeans Clustering Splits for End-to-End Unsupervised Decision Trees. arXiv preprint arXiv:2402.12232. [Arxiv]
2023
Ohl, L., Mattei, P. A., Bouveyron, C., Harchaoui, W., Leclercq, M., Droit, A., & Precioso, F. (2023). Generalised Mutual Information: a Framework for Discriminative Clustering. arXiv preprint arXiv:2309.02858. [Arxiv]
[Contributed talk] Kernel KMeans clustering splits for unsupervised clustering trees, Journées des statistiques (Bordeaux). Abstract
2023
[Invited talk] GEMINI - A constellation of discriminative clustering models, 3IA PhD & Postoc Seminar (Nice). Link, seminar #29
[Contributed talk] GemClus - A Python Package for Discriminative Clustering with GEMINI, Summer working group on model-based clustering (Pittsburgh)Link to programme, during software session.
2022
[Contributed talk] Generalised Mutual Information Maximisation for Deep Clustering, Journées des statistiques (Lyon). Link to programme.