Rémi Flamary
25 papers · 2016–2024 · 8 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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🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Diamond 🐣 Hot Topic Early Bird
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Dynamic Duo
(19)
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Grand Slam
👑
Triple Crown
🔬
Deep Specialist
(11)
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Mega-Team · Squad
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Keyword Trendsetter Combo
(3)
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Keyword Champion
(2)
🧭
Keyword Pioneer
🌈
Renaissance Researcher
(7)
🔥
Unstoppable · Bronze
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Prolific Year · Productive
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Conference Pioneer
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Century Club · Bronze
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Trend Setter
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Keyword Collector
(93)
Top co-authors
Research topics
Machine Learning
(23)
Mathematics & Optimization
(14)
Optimization
(14)
Core Methods
(12)
Optimization & Theory
(12)
Application Areas
(11)
Deep Learning
(6)
Architectures
(5)
Computer Vision
(3)
Learning Types
(3)
Artificial Intelligence
(2)
Data Science & Analytics
(2)
Applications
(2)
Domain-Specific
(2)
Learning Paradigms
(2)
Keywords
optimal transport
(20)
domain adaptation
(7)
gromov-wasserstein distance
(4)
wasserstein distance
(3)
fused gromov-wasserstein
(3)
unbalanced transport
(2)
wasserstein barycenter
(2)
joint distribution
(2)
multi-source domain adaptation
(2)
distribution comparison
(2)
dictionary learning
(2)
non-negative matrix factorization
(2)
transport map
(2)
graph prediction
(2)
metric learning
(2)
distribution matching
(2)
graph classification
(2)
feature alignment
(2)
unsupervised learning
(2)
probability distribution
(2)
Papers
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
NeurIPS 2024
Convolution Monge Mapping Normalization for learning on sleep data
NeurIPS 2023
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
NeurIPS 2023
Unbalanced CO-optimal Transport
AAAI 2023
Aligning individual brains with fused unbalanced Gromov Wasserstein
NeurIPS 2022
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers
AISTATS 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
ICML 2022
Multi-source domain adaptation via weighted joint distributions optimal transport
UAI 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
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
NeurIPS 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