Titouan Vayer
7 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (11) 🗺️ Taxonomy Completionist (14)
👥
Mega-Team
(22)
Conferences
ICLR (2)
JMLR (2)
NIPS (2)
ICML (1)
Top co-authors
Keywords
optimal transport
(4)
wasserstein distance
(2)
stochastic optimization
(1)
dimensionality reduction
(1)
online learning
(1)
graph classification
(1)
graph representation learning
(1)
feature representation
(1)
message passing
(1)
probability distribution
(1)
graph embedding
(1)
template matching
(1)
maximum mean discrepancy
(1)
clustering performance
(1)
sinkhorn algorithm
(1)
wasserstein barycenter
(1)
kernel norm
(1)
compressive statistical learning
(1)
gromov wasserstein
(1)
graph neural network
(1)
Papers
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
ICLR 2025
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
NIPS 2023
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning
JMLR 2023
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs
ICLR 2022
Template based Graph Neural Network with Optimal Transport Distances
NIPS 2022
Online Graph Dictionary Learning
ICML 2021
POT: Python Optimal Transport
JMLR 2021