Romain Tavenard

5 papers · 2019–2025 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird

👥 Mega-Team · Squad

Venues

JMLR (2) ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Rémi Flamary (3) Nicolas Courty (3) Laetitia Chapel (3) Vayer Titouan (2) Chester Holtz (1) Chapel Laetitia (1) Marie Payne (1) Hicham Janati (1) Antoine Rolet (1) Kilian Fatras (1)

Research topics

Machine Learning (5) Mathematics & Optimization (3) Core Methods (3) Optimization (3) Computer Science (1) Data Science & Analytics (1) Deep Learning (1) Application Areas (1) Architectures (1) Foundations (1) Methods (1) Optimization & Theory (1) Probability (1)

Keywords

optimal transport (4) wasserstein distance (2) feature extraction (1) time series clustering (1) graph classification (1) graph matching (1) computational complexity (1) time series classification (1) cross validation (1) distribution matching (1) distribution comparison (1) time complexity (1) sinkhorn algorithm (1) distance metric (1) downstream task (1) quadratic assignment problem (1) gromov-wasserstein distance (1) wasserstein barycenter (1) sliced wasserstein (1) time series regression (1)

Papers

One for all and all for one: Efficient computation of partial Wasserstein distances on the line ICLR 2025 POT: Python Optimal Transport JMLR 2021 Tslearn, A Machine Learning Toolkit for Time Series Data JMLR 2020 Optimal Transport for structured data with application on graphs ICML 2019 Sliced Gromov-Wasserstein NeurIPS 2019