Céline Brouard

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 14

Top Venues

University of Évry Val d'Essonne, France (PHD)

Education History

University of Évry Val d'Essonne, France

PHD

Publications

Céline Brouard, Raphaël Mourad, Nathalie Vialaneix
Should we really use graph neural networks for transcriptomic prediction? Briefings Bioinform. 25 (2) (2024)
Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. CoRR (2022)
Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Vector-Valued Least-Squares Regression under Output Regularity Assumptions. CoRR (2022)
Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. ICML (2022)
Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Vector-Valued Least-Squares Regression under Output Regularity Assumptions. J. Mach. Learn. Res. 23 (2022)
Lise Pomiès, Céline Brouard, Harold Duruflé, Élise Maigné, Clément Carré, Louise Gody, Fulya Trösser, George Katsirelos, Brigitte Mangin, Nicolas B. Langlade, Simon de Givry
Gene regulatory network inference methodology for genomic and transcriptomic data acquired in genetically related heterozygote individuals. Bioinform. 38 (17) (2022)
Céline Brouard, Simon de Givry, Thomas Schiex
Pushing Data into CP Models Using Graphical Model Learning and Solving. CP (2020)
Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Learning Output Embeddings in Structured Prediction. CoRR (2020)
Eric Bach, Sándor Szedmák, Céline Brouard, Sebastian Böcker, Juho Rousu
Liquid-chromatography retention order prediction for metabolite identification. Bioinform. 34 (17) (2018)
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
Critical Assessment of Small Molecule Identification 2016: automated methods. J. Cheminformatics 9 (1) (2017)
Céline Brouard, Eric Bach, Sebastian Böcker, Juho Rousu
Magnitude-Preserving Ranking for Structured Outputs. ACML (2017)
Céline Brouard, Marie Szafranski, Florence d'Alché-Buc
Input Output Kernel Regression: Supervised and Semi-Supervised Structured Output Prediction with Operator-Valued Kernels. J. Mach. Learn. Res. 17 (2016)
Céline Brouard, Huibin Shen, Kai Dührkop, Florence d'Alché-Buc, Sebastian Böcker, Juho Rousu
Fast metabolite identification with Input Output Kernel Regression. Bioinform. 32 (12) (2016)
Huibin Shen, Sándor Szedmák, Céline Brouard, Juho Rousu
Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning. DS (2016)
Céline Brouard, Christel Vrain, Julie Dubois, David Castel, Marie-Anne Debily, Florence d'Alché-Buc
Learning a Markov Logic network for supervised gene regulatory network inference. BMC Bioinform. 14 (2013)
Céline Brouard, Florence d'Alché-Buc, Marie Szafranski
Semi-supervised Penalized Output Kernel Regression for Link Prediction. ICML (2011)

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Publication Activity (10 Years)

Top Topics

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Céline Brouard