Scholar
Titouan Vayer
Google Scholar ID: PJEv3JgAAAAJ
Inria
optimal transport
graphs
inverse problems
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Citations & Impact
All-time
Citations
2,394
H-index
12
i10-index
14
Publications
20
Co-authors
17
list available
Contact
Email
titouan.vayer@inria.fr
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Publications
7 items
Path-conditioned training: a principled way to rescale ReLU neural networks
2026
Cited
0
On sparsity, extremal structure, and monotonicity properties of Wasserstein and Gromov-Wasserstein optimal transport plans
2026
Cited
0
Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
2025
Cited
0
A note on the relations between mixture models, maximum-likelihood and entropic optimal transport
2025
Cited
0
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms
arXiv.org · 2024
Cited
0
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
arXiv.org · 2024
Cited
0
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection
arXiv.org · 2024
Cited
5
Resume (English only)
Research Experience
Works in the Inria OCKHAM team within the LIP at ENS Lyon.
Background
Researcher (Chargé de recherche) working on optimal transport theory, compressive learning, and sketching methods.
Miscellany
Helps organize the Machine Learning and Signal Processing seminar (MLSP) at ENS Lyon.
Co-authors
17 total
Nicolas Courty
Full Professor, Université Bretagne Sud, laboratoire IRISA
Rémi Flamary
CMAP, École Polytechnique, Institut Polytechnique de Paris
Romain Tavenard
Univ. Rennes 2, IRISA
Laetitia Chapel
Full professor, Institut Agro Rennes-Angers, IRISA
Ievgen Redko
Principal research scientist, HDR, Paris Noah's Ark lab
Cedric Vincent-Cuaz
Postdoctoral Researcher
Rémi Gribonval
Inria & ENS de Lyon
Co-author 8
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