Nicolas Courty
24 papers · 2016–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (9) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (12)
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Keyword Pioneer
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Renaissance Researcher
(9)
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Dynamic Duo
(19)
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Triple Crown
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Grand Slam
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Mega-Team
(22)
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Topic Pioneer
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Deep Specialist
(10)
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Keyword Champion
(3)
ποΈ
Keyword Collector
(80)
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Trend Setter
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Conference Pioneer
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Unstoppable
(10)
β‘
Prolific Year
(5)
π
Century Club
(24)
Conferences
NIPS (9)
ICLR (4)
ICML (4)
AISTATS (2)
ECCV (2)
JMLR (2)
AAAI (1)
Top co-authors
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