Scholar
Rémi Flamary
Google Scholar ID: zDnwxFQAAAAJ
CMAP, École Polytechnique, Institut Polytechnique de Paris
Citations & Impact
Citations
7,760
H-index
34
i10-index
65
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: 'Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs', presented at NeurIPS 2025; 'The quest for the GRAph Level autoEncoder (GRALE)', also presented at NeurIPS 2025.
Research Experience
- Currently a Professor in the Applied Mathematics department and CMAP Laboratory at École Polytechnique; Previously an Associate Professor at Université Côte d'Azur in the Department of Electronics and part of the Lagrange Laboratory, which is affiliated with Observatoire de la Côte d'Azur.
Education
- PhD: LITIS Laboratory, Advisor: Alain Rakotomamonjy, University of Rouen.
Background
- Research Interests: Machine learning and statistical signal processing, Optimal transport (for ML, OT on graphs), Domain adaptation, transfer and multi-task learning, data shift, Optimization with sparsity, variable selection, mixed norms, non-convex regularization, Learning representations, deep neural networks. Applications in biomedical engineering, Brain-Computer Interfaces, Energy and climate, Remote sensing and hyperspectral Imaging, Astronomical image processing.
Miscellany
- His personal website provides a list of publications and corresponding software/code downloads, as well as some teaching and presentation materials.
Co-authors