Scholar
Rémi Gribonval
Google Scholar ID: EcqbX1QAAAAJ
Inria & ENS de Lyon
signal processing
machine learning
sparsity
inverse problems
dimension reduction
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Citations & Impact
All-time
Citations
8,830
H-index
38
i10-index
118
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
8 items
Training Flow Matching: The Role of Weighting and Parameterization
2026
Cited
0
Path-conditioned training: a principled way to rescale ReLU neural networks
2026
Cited
0
The Generation Phases of Flow Matching: a Denoising Perspective
2025
Cited
0
Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help?
2025
Cited
0
Intrinsic training dynamics of deep neural networks
2025
Cited
0
Effective regions and kernels in continuous sparse regularisation, with application to sketched mixtures
2025
Cited
0
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms
arXiv.org · 2024
Cited
0
A rescaling-invariant Lipschitz bound based on path-metrics for modern ReLU network parameterizations
2024
Cited
0
Resume (English only)
Academic Achievements
Recipient of the Blaise Pascal Award from GAMNI-SMAI, French Academy of Sciences (2011)
ERC Starting Investigator Grant awardee (2011)
IEEE Fellow
EURASIP Fellow
Editorial board member of EURASIP Signal Processing (2003–2006)
Senior Area Editor for IEEE Transactions on Signal Processing (2019–2021)
Editorial board member of Constructive Approximation (since 2019)
Senior Area Editor for IEEE Signal Processing Magazine (since 2022)
Two papers accepted at ICML 2025, including one oral presentation
Research Experience
Principal Investigator (PI) of multiple national (ANR, PEPR), bilateral, and European (FET-Open, ERC) research projects since 2002
Member of IEEE SPTM Technical Committee (2011–2017)
Member of EURASIP SIG-DML Special Area Team (2015–2022)
Member of the Scientific Advisory Board of the Acoustics Research Institute, Austrian Academy of Sciences (since 2018)
Founder and chair of the international SPARS workshop series on Signal Processing with Adaptive/Sparse Representations
Co-authors
0 total
Co-authors: 0 (list not available)
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