Titouan Vayer

7 papers · 2021–2025 · 4 conferences · across top CS/AI conferences

Achievements

🌉 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

Nicolas Courty (5) Rémi Flamary (5) Marco Corneli (3) Cédric Vincent-Cuaz (3) Hicham Janati (1) Vivien Seguy (1) Remi Gribonval (1) Alexandre Gramfort (1) Antoine Rolet (1) Antony Schutz (1)

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