← Authors

Rémi Flamary

25 papers · 2016–2024 · 8 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (30) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (8) 🏃 Academic Marathon (8) 🌱 Topic Pioneer 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (22) 🤝 Dynamic Duo (19) 🏆 Keyword Champion (3) 🔥 Unstoppable (9) ⚡ Prolific Year (6) 💎 Century Club (25) 🗃️ Keyword Collector (82) 🚀 Conference Pioneer 📈 Trend Setter

Conferences

NIPS (11) ICML (4) AISTATS (3) ICLR (3) AAAI (1) ECCV (1) JMLR (1) UAI (1)

Top co-authors

Nicolas Courty (19) Titouan Vayer (5) Ievgen Redko (4) Alain Rakotomamonjy (4) Marco Corneli (3) Laetitia Chapel (3) Kilian Fatras (3) Romain Tavenard (3) Cédric Vincent-Cuaz (3) Vayer Titouan (3)

Keywords

optimal transport (18) domain adaptation (6) fused gromov-wasserstein (3) gromov-wasserstein distance (3) unbalanced transport (2) gromov wasserstein (2) graph neural network (2) non-negative matrix factorization (2) wasserstein barycenter (2) probability distribution (2) dictionary learning (2) feature alignment (2) joint distribution (2) graph prediction (2) graph classification (2) distribution matching (2) multi-source domain adaptation (2) wasserstein distance (2) unsupervised learning (2) transport map (2)

Papers

Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss NIPS 2024
Unbalanced CO-optimal Transport AAAI 2023
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities NIPS 2023
Convolution Monge Mapping Normalization for learning on sleep data NIPS 2023
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers AISTATS 2022
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs ICLR 2022
Template based Graph Neural Network with Optimal Transport Distances NIPS 2022
Aligning individual brains with fused unbalanced Gromov Wasserstein NIPS 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters ICML 2022
Multi-source domain adaptation via weighted joint distributions optimal transport UAI 2022
Online Graph Dictionary Learning ICML 2021
POT: Python Optimal Transport JMLR 2021
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression NIPS 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation ICML 2021
CO-Optimal Transport NIPS 2020
Learning with minibatch Wasserstein : asymptotic and gradient properties AISTATS 2020
Optimal Transport for Multi-source Domain Adaptation under Target Shift AISTATS 2019
Sliced Gromov-Wasserstein NIPS 2019
Optimal Transport for structured data with application on graphs ICML 2019
Large Scale Optimal Transport and Mapping Estimation ICLR 2018
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation ECCV 2018
Learning Wasserstein Embeddings ICLR 2018
Joint distribution optimal transportation for domain adaptation NIPS 2017
Optimal spectral transportation with application to music transcription NIPS 2016
Mapping Estimation for Discrete Optimal Transport NIPS 2016