Mathilde Galinier

According to our database, Mathilde Galinier authored at least 4 papers between 2018 and 2021.

Collaborative distances:

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

2021

Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography.

Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen

SIAM J. Imaging Sci., 2021

2020

A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring.

Mathilde Galinier, Marco Prato, Emilie Chouzenoux, Jean-Christophe Pesquet

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

2019

Mise en abyme with Artificial Intelligence: How to Predict the Accuracy of NN, Applied to Hyper-parameter Tuning.

Giorgia Franchini, Mathilde Galinier, Micaela Verucchi

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

2018

GenoGAM 2.0: scalable and efficient implementation of genome-wide generalized additive models for gigabase-scale genomes.

Georg Stricker, Mathilde Galinier, Julien Gagneur

BMC Bioinform., 2018