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ORCIDCéline Brouard
Person information
- affiliation: Aalto University, Espoo, Finland
- affiliation: University of Évry Val d'Essonne, France
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Books and Theses
- 2013
[b1]Céline Brouard:
Inférence de réseaux d'interaction protéine-protéine par apprentissage statistique. (Protein-protein interaction network inference using statistical learning). University of Évry Val d'Essonne, France, 2013
Journal Articles
- 2024
- [j9]Céline Brouard
, Raphaël Mourad, Nathalie Vialaneix:
Should we really use graph neural networks for transcriptomic prediction? Briefings Bioinform. 25(2) (2024) - [j8]Han Phan, Céline Brouard, Raphaël Mourad:
Semi-supervised learning with pseudo-labeling compares favorably with large language models for regulatory sequence prediction. Briefings Bioinform. 25(6) (2024) - 2022
- [j7]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): 4127-4134 (2022) - [j6]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: 344:1-344:50 (2022) - 2018
- [j5]Eric Bach, Sándor Szedmák, Céline Brouard, Sebastian Böcker, Juho Rousu:
Liquid-chromatography retention order prediction for metabolite identification. Bioinform. 34(17): i875-i883 (2018) - 2017
- [j4]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): 22:1-22:21 (2017) - 2016
- [j3]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): 28-36 (2016) - [j2]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: 176:1-176:48 (2016) - 2013
- [j1]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: 273 (2013)
Conference and Workshop Papers
- 2022
- [c5]Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. ICML 2022: 2321-2335 - 2020
- [c4]Céline Brouard, Simon de Givry, Thomas Schiex:
Pushing Data into CP Models Using Graphical Model Learning and Solving. CP 2020: 811-827 - 2017
- [c3]Céline Brouard, Eric Bach, Sebastian Böcker, Juho Rousu:
Magnitude-Preserving Ranking for Structured Outputs. ACML 2017: 407-422 - 2016
- [c2]Huibin Shen, Sándor Szedmák, Céline Brouard, Juho Rousu:
Soft Kernel Target Alignment for Two-Stage Multiple Kernel Learning. DS 2016: 427-441 - 2011
- [c1]Céline Brouard, Florence d'Alché-Buc, Marie Szafranski:
Semi-supervised Penalized Output Kernel Regression for Link Prediction. ICML 2011: 593-600
Informal and Other Publications
- 2022
- [i3]Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. CoRR abs/2202.03813 (2022) - [i2]Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Vector-Valued Least-Squares Regression under Output Regularity Assumptions. CoRR abs/2211.08958 (2022) - 2020
- [i1]Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc:
Learning Output Embeddings in Structured Prediction. CoRR abs/2007.14703 (2020)
Coauthor Index
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