A Selection of Talks

NeuMiss networks: differentiable programming for supervised learning with missing values.
University of Montpellier.
Montpellier, Dec. 2020.
slides

Linear predictor on linearly-generated data with missing values: non consistency and solutions.
Optimization for Machine Learning, Centre International de Rencontres Mathématiques.
Luminy, March 2020.
slides

Cancer stratification and prognosis from mutations using gene networks.
IN2P3 laboratory.
Orsay, Nov. 2019.
slides

Learning from genomic data: efficient representations and algorithms.
PhD defense
Paris, July 2018.
slides

Scaling up the LASSO with interaction features.
Google Zurich
Zurich, Nov. 2017.
slides

SUQUAN: Supervised quantile normalisation.
Institut Curie
Paris, May 2017.
slides