Nicolas Courty
24 papers · 2016–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Diamond 🐣 Hot Topic Early Bird
🏆
Grand Slam
🌟
Keyword Trendsetter Combo
(3)
🔬
Deep Specialist
(13)
👥
Mega-Team · Squad
🧭
Keyword Pioneer
🤝
Dynamic Duo
(19)
👑
Triple Crown
🚀
Conference Pioneer
🔥
Unstoppable · Silver
⚡
Prolific Year · Productive
💎
Century Club · Bronze
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Renaissance Researcher
(7)
📈
Trend Setter
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Keyword Collector
(94)
Top co-authors
Research topics
Machine Learning
(20)
Mathematics & Optimization
(15)
Optimization
(15)
Optimization & Theory
(12)
Application Areas
(10)
Core Methods
(10)
Deep Learning
(6)
Architectures
(4)
Artificial Intelligence
(3)
Learning Paradigms
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Applications
(2)
Learning Types
(2)
Mathematics
(2)
Keywords
optimal transport
(18)
domain adaptation
(7)
wasserstein distance
(5)
sliced wasserstein
(3)
sliced wasserstein distance
(3)
gromov-wasserstein distance
(3)
fused gromov-wasserstein
(2)
dictionary learning
(2)
unsupervised learning
(2)
distribution comparison
(2)
transport map
(2)
distribution matching
(2)
gromov wasserstein
(2)
graph classification
(2)
feature alignment
(2)
probability distribution
(2)
unbalanced transport
(2)
metric learning
(2)
density estimation
(1)
dimensionality reduction
(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
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics
NeurIPS 2023
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
ICML 2023
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
NeurIPS 2023
Spherical Sliced-Wasserstein
ICLR 2023
Unbalanced CO-optimal Transport
AAAI 2023
Aligning individual brains with fused unbalanced Gromov Wasserstein
NeurIPS 2022
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
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
ICML 2021
CO-Optimal Transport
NeurIPS 2020
Learning with minibatch Wasserstein : asymptotic and gradient properties
AISTATS 2020
Optimal Transport for Multi-source Domain Adaptation under Target Shift
AISTATS 2019
Optimal Transport for structured data with application on graphs
ICML 2019
Sliced Gromov-Wasserstein
NeurIPS 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
NeurIPS 2017
Mapping Estimation for Discrete Optimal Transport
NeurIPS 2016
Optimal spectral transportation with application to music transcription
NeurIPS 2016