RΓ©mi Flamary
25 papers · 2016–2024 · 8 conferences · across top CS/AI conferences
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Conferences
NIPS (11)
ICML (4)
AISTATS (3)
ICLR (3)
AAAI (1)
ECCV (1)
JMLR (1)
UAI (1)
Top co-authors
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