Marie Guyomard

According to our database, Marie Guyomard authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Softmin discrete minimax classifier for imbalanced classes and prior probability shifts.

Cyprien Gilet, Marie Guyomard, Sébastien Destercke, Lionel Fillatre

Mach. Learn., February, 2024

Encoding breast cancer patients' medical pathways from reimbursement data using representation learning: a benchmark for clustering tasks.

Marie Guyomard, Anne-Déborah Bouhnik, Louis Tassy, Raquel Ureña

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023

Explainable neural kernel logistic regression: application to precision medicine. (Régression logistique à noyau neural explicable: application à la médecine de précision).

Marie Guyomard

PhD thesis, 2023

Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network.

Marie Guyomard, Susana Barbosa, Lionel Fillatre

Proceedings of the International Conference on Machine Learning, 2023

Understandable Relu Neural Network For Signal Classification.

Marie Guyomard, Susana Barbosa, Lionel Fillatre

Proceedings of the IEEE International Conference on Acoustics, 2023

Multiclass Minimax Learning for Deep Neural Networks.

Cyprien Gilet, Marie Guyomard, Susana Barbosa, Lionel Fillatre

Proceedings of the 31st European Signal Processing Conference, 2023