Nicolas Courty

24 papers · 2016–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (7) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (12) 🗺️ Taxonomy Completionist (29) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (19) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (22) 🌱 Topic Pioneer 🔬 Deep Specialist (10) 🏆 Keyword Champion (3) 🗃️ Keyword Collector (80) 📈 Trend Setter 🚀 Conference Pioneer 🔥 Unstoppable (10) ⚡ Prolific Year (5) 💎 Century Club (24)

Conferences

NIPS (9) ICLR (4) ICML (4) AISTATS (2) ECCV (2) JMLR (2) AAAI (1)

Top co-authors

Rémi Flamary (19) Titouan Vayer (5) Clément Bonet (4) Ievgen Redko (4) Marco Corneli (3) Laetitia Chapel (3) Kilian Fatras (3) Romain Tavenard (3) Cédric Vincent-Cuaz (3) Vayer Titouan (3)

Keywords

optimal transport (15) domain adaptation (6) wasserstein distance (4) sliced wasserstein (3) fused gromov-wasserstein (2) probability distribution (2) feature alignment (2) unsupervised learning (2) transport map (2) unbalanced transport (2) sliced-wasserstein distance (2) dictionary learning (2) graph classification (2) distribution matching (2) gromov-wasserstein distance (2) gromov wasserstein (2) graph matching (1) dimensionality reduction (1) convex optimization (1) stochastic optimization (1)

Papers

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds JMLR 2025

Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation ECCV 2024

Spherical Sliced-Wasserstein ICLR 2023

Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NIPS 2023

SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities NIPS 2023

Unbalanced CO-optimal Transport AAAI 2023

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals ICML 2023

Aligning individual brains with fused unbalanced Gromov Wasserstein NIPS 2022

Template based Graph Neural Network with Optimal Transport Distances NIPS 2022

Semi-relaxed Gromov-Wasserstein divergence and applications on graphs ICLR 2022

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation ICML 2021

POT: Python Optimal Transport JMLR 2021

Online Graph Dictionary Learning 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

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation ECCV 2018

Large Scale Optimal Transport and Mapping Estimation ICLR 2018

Learning Wasserstein Embeddings ICLR 2018

Joint distribution optimal transportation for domain adaptation NIPS 2017

Mapping Estimation for Discrete Optimal Transport NIPS 2016

Optimal spectral transportation with application to music transcription NIPS 2016