Publications & Conferences

In preparation

• M. Chauveau, Y. Kleeorin, E. Hinds, N. B. Goldfajnc, M. Moorec, R. Ranganathan, I. Junier, O. Rivoire. Overcoming undersampling-induced biases in generative models for protein sequences. In Preparation.
• P. Guénon, M. Chauveau, K. Filipowska, C. Nizak, G. Stirnemann, K. Reynolds, O. Rivoire, D. Laage. Allostery without Large Motions: Molecular Dissection of a Minimal-Shift MWC Allosteric Regulation. In Preparation.

Journals

• S. W. Combettes, P. Boniol, A. Mazarguil, D. Wang, D. Vaquero-Ramos, M. Chauveau, L. Oudre, N. Vayatis, P.-P. Vidal, A. Roren, and M.-M. Lefèvre-Colau. Arm-CODA: A Data Set of Upper-limb Human Movement During Routine Examination. Image Processing On Line, 14:1-13, 2024.

Conferences

• M. Chauveau, A. Mazarguil, and L. Oudre. Graph dictionary learning for the study of human motion. In Proceedings of the International Conference of the IEEE Engineering in Medecine and Biology Society (EMBC), Orlando, Florida, USA, 2024.

Thesis

• Marion Chauveau. Generative models for protein sequences. PhD thesis manuscript, 2025.
• Marion Chauveau. Generative models for protein sequences. PhD thesis defense, Paris, France, October 1^st 2025.

Talks

• Predicting compensatory mutations in proteins using statistical models - BiGre Days, February 2025.
• Graph dictionary learning for the study of human motion - 46th Annual International Conference of the IEEE EMBS, Summer 2024.
• Generative models of Protein sequences - Journées de la Physique Statistique, Winter 2024.
• Generative models of Protein sequences - 5th course on Multi-scale Integration in Biological Systems, Fall 2023.

Posters

• Overcoming Undersampling in Generative Models for Biological Sequences - Biological sequence variation from statistical modeling to structure, function, and evolutionary dynamics, Institut d’Études Scientifiques, Cargese.