Titouan Vayer

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 👥 Mega-Team · Squad

Venues

ICLR (2) JMLR (2) NeurIPS (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)

Research topics

Machine Learning (7) Core Methods (6) Mathematics & Optimization (5) Optimization (5) Optimization & Theory (5) Deep Learning (3) Architectures (3) Data Science & Analytics (2) Applications (1) Learning Types (1) Mathematics (1) Methods (1)

Keywords

optimal transport (5) wasserstein distance (2) unsupervised learning (1) stochastic optimization (1) dimensionality reduction (1) online learning (1) graph classification (1) graph representation learning (1) deep learning (1) feature representation (1) message passing (1) probability distribution (1) graph embedding (1) template matching (1) maximum mean discrepancy (1) graph partitioning (1) clustering performance (1) matrix estimation (1) sinkhorn algorithm (1) symmetric positive definite matrix (1)

Papers

Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure ICLR 2025 Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023 SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities NeurIPS 2023 Semi-relaxed Gromov-Wasserstein divergence and applications on graphs ICLR 2022 Template based Graph Neural Network with Optimal Transport Distances NeurIPS 2022 Online Graph Dictionary Learning ICML 2021 POT: Python Optimal Transport JMLR 2021