Céline Brouard

According to our database, Céline Brouard authored at least 16 papers between 2011 and 2024.

Collaborative distances:

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

2024

Should we really use graph neural networks for transcriptomic prediction?

Céline Brouard, Raphaël Mourad, Nathalie Vialaneix

Briefings Bioinform., January, 2024

Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence prediction.

Han Phan, Céline Brouard, Raphaël Mourad

Briefings Bioinform., 2024

2022

Vector-Valued Least-Squares Regression under Output Regularity Assumptions.

Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc

J. Mach. Learn. Res., 2022

Gene regulatory network inference methodology for genomic and transcriptomic data acquired in genetically related heterozygote individuals.

Lise Pomiès, Céline Brouard, Harold Duruflé, Élise Maigné, Clément Carré, Louise Gody, Fulya Trösser, George Katsirelos, Brigitte Mangin, Nicolas B. Langlade, Simon de Givry

Bioinform., 2022

Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters.

Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc

Proceedings of the International Conference on Machine Learning, 2022

2020

Learning Output Embeddings in Structured Prediction.

Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc

CoRR, 2020

Pushing Data into CP Models Using Graphical Model Learning and Solving.

Céline Brouard, Simon de Givry, Thomas Schiex

Proceedings of the Principles and Practice of Constraint Programming, 2020

2018

Liquid-chromatography retention order prediction for metabolite identification.

Eric Bach, Sándor Szedmák, Céline Brouard, Sebastian Böcker, Juho Rousu

Bioinform., 2018

2017

Critical Assessment of Small Molecule Identification 2016: automated methods.

Emma Schymanski, Christoph Ruttkies, Martin Krauss, Céline Brouard, Tobias Kind, Kai Dührkop, Felicity Allen, Arpana Vaniya, Dries Verdegem, Sebastian Böcker, Juho Rousu, Huibin Shen, Hiroshi Tsugawa, Tanvir Sajed, Oliver Fiehn, Bart Ghesquière, Steffen Neumann

J. Cheminformatics, 2017

Magnitude-Preserving Ranking for Structured Outputs.

Céline Brouard, Eric Bach, Sebastian Böcker, Juho Rousu

Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016

Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels.

Céline Brouard, Marie Szafranski, Florence d'Alché-Buc

J. Mach. Learn. Res., 2016

Fast metabolite identification with Input Output Kernel Regression.

Céline Brouard, Huibin Shen, Kai Dührkop, Florence d'Alché-Buc, Sebastian Böcker, Juho Rousu

Bioinform., 2016

Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning.

Huibin Shen, Sándor Szedmák, Céline Brouard, Juho Rousu

Proceedings of the Discovery Science - 19th International Conference, 2016

2013

Inférence de réseaux d'interaction protéine-protéine par apprentissage statistique. (Protein-protein interaction network inference using statistical learning).

Céline Brouard

PhD thesis, 2013

Learning a Markov Logic network for supervised gene regulatory network inference.

Céline Brouard, Christel Vrain, Julie Dubois, David Castel, Marie-Anne Debily, Florence d'Alché-Buc

BMC Bioinform., 2013

2011

Semi-supervised Penalized Output Kernel Regression for Link Prediction.

Céline Brouard, Florence d'Alché-Buc, Marie Szafranski

Proceedings of the 28th International Conference on Machine Learning, 2011