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Louis Ohl

Postdoc

I am a postdoc at the Division of Statistics and Machine Learning at IDA. My research focus revolves around unsupervised methods, encompassing clustering methods and at the moment PU learning.

I am a happy postdoc at Linköping University. My main research focus revolves around unsupervised methods, encompassing clustering methods and at the moment PU learning.

My PhD was done between Cote d'Azur University (France) and Laval University (Canada), addressing the challenge of discriminative clustering for aortic stenosis data, a severe cardiac disease.

Nowadays, I maintain applied machine learning algorithms to material science, for instance MAX-phase to MXen structure change. This involves PU learning, still clustering, and perhaps more to discover on the way. Stay tuned and do not hesitate to contact!

For complimentary details, you are welcome to take a look at my personal website.

Publications

2025

Marie-Ange Fleury, Louis Ohl, Lionel Tastet, Mickaël Leclercq, Frédéric Precioso, Pierre-Alexandre Mattei, Romain Capoulade, Kathia Abdoun, Élisabeth Bédard, Marie Arsenault, Jonathan Beaudoin, Mathieu Bernier, Erwan Salaun, Jérémy Bernard, Mylène Shen, Sébastien Hecht, Nancy Côté, Arnaud Droit, Philippe Pibarot (2025) Unsupervised Machine Learning Analysis to Enhance Risk Stratification in Patients with Asymptomatic Aortic Stenosis The European Heart Journal - Digital Health, Article ztaf115 (Article in journal) Continue to DOI
Louis Ohl, Pierre-Alexandre Mattei, Frederic Precioso (2025) A Tutorial on Discriminative Clustering and Mutual Information ACM Computing Surveys, Vol. 58, p. 1-36 (Article in journal) Continue to DOI
Louis Ohl, Fredrik Lindsten (2025) Discriminative ordering through ensemble consensus Proceedings of the 41st Conference on Uncertainty in Artificial Intelligence, p. 3252-3271 (Conference paper)

Colleagues at STIMA

Organisation