Marine Le Morvan

According to our database, Marine Le Morvan authored at least 10 papers between 2017 and 2023.

Collaborative distances:

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

2023

Beyond calibration: estimating the grouping loss of modern neural networks.

Alexandre Perez-Lebel, Marine Le Morvan, Gaël Varoquaux

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Benchmarking missing-values approaches for predictive models on health databases.

Alexandre Perez-Lebel, Gaël Varoquaux, Marine Le Morvan, Julie Josse, Jean-Baptiste Poline

CoRR, 2022

2021

What's a good imputation to predict with missing values?

Marine Le Morvan, Julie Josse, Erwan Scornet, Gaël Varoquaux

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Neumann networks: differential programming for supervised learning with missing values.

Marine Le Morvan, Julie Josse, Thomas Moreau, Erwan Scornet, Gaël Varoquaux

CoRR, 2020

NeuMiss networks: differentiable programming for supervised learning with missing values.

Marine Le Morvan, Julie Josse, Thomas Moreau, Erwan Scornet, Gaël Varoquaux

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Linear predictor on linearly-generated data with missing values: non consistency and solutions.

Marine Le Morvan, Nicolas Prost, Julie Josse, Erwan Scornet, Gaël Varoquaux

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2018

Learning from genomic data: efficient representations and algorithms. (Développement de représentations et d'algorithmes efficaces pour l'apprentissage statistique sur des données génomiques).

Marine Le Morvan

PhD thesis, 2018

WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models.

Marine Le Morvan, Jean-Philippe Vert

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis.

Marine Le Morvan, Andrei Yu. Zinovyev, Jean-Philippe Vert

PLoS Comput. Biol., 2017

Supervised Quantile Normalisation.

Marine Le Morvan, Jean-Philippe Vert

CoRR, 2017