Rémi Flamary

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 97

Top Venues

University of Rouen, France (PHD)

Education History

University of Rouen, France

PHD

Publications

Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. CoRR (2024)
Antoine Collas, Rémi Flamary, Alexandre Gramfort
Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications. CoRR (2024)
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
Unbalanced CO-optimal Transport. AAAI (2023)
Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
Optimal Transport with Adaptive Regularisation. CoRR (2023)
Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy
Entropic Wasserstein Component Analysis. MLSP (2023)
Théo Gnassounou, Rémi Flamary, Alexandre Gramfort
Convolutional Monge Mapping Normalization for learning on biosignals. CoRR (2023)
Eloi Tanguy, Rémi Flamary, Julie Delon
Properties of Discrete Sliced Wasserstein Losses. CoRR (2023)
Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy
Entropic Wasserstein Component Analysis. CoRR (2023)
Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. NeurIPS (2023)
Théo Gnassounou, Rémi Flamary, Alexandre Gramfort
Convolution Monge Mapping Normalization for learning on sleep data. NeurIPS (2023)
Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. CoRR (2023)
Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. CoRR (2023)
Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. CoRR (2022)
Dimitri Bouche, Rémi Flamary, Florence d'Alché-Buc, Riwal Plougonven, Marianne Clausel, Jordi Badosa, Philippe Drobinski
Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection. CoRR (2022)
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. ICLR (2022)
Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
Unbalanced CO-Optimal Transport. CoRR (2022)
Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty
Generating Natural Adversarial Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Template based Graph Neural Network with Optimal Transport Distances. NeurIPS (2022)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty
Optimal transport for conditional domain matching and label shift. Mach. Learn. 111 (5) (2022)
Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. ICML (2022)
Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
Wasserstein Adversarial Regularization for Learning With Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion
Aligning individual brains with fused unbalanced Gromov Wasserstein. NeurIPS (2022)
Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. AISTATS (2022)
Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. 2022 (2022)
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Template based Graph Neural Network with Optimal Transport Distances. CoRR (2022)
Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. CoRR (2021)
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Semi-relaxed Gromov Wasserstein divergence with applications on graphs. CoRR (2021)
Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR (2021)
Kilian Fatras, Thibault Séjourné, Rémi Flamary, Nicolas Courty
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. ICML (2021)
Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T. H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer
POT: Python Optimal Transport. J. Mach. Learn. Res. 22 (2021)
Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
Online Graph Dictionary Learning. CoRR (2021)
Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS (2021)
Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty
Factored couplings in multi-marginal optimal transport via difference of convex programming. CoRR (2021)
Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
Online Graph Dictionary Learning. ICML (2021)
Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Minibatch optimal transport distances; analysis and applications. CoRR (2021)
Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty
An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. Comput. Vis. Image Underst. 191 (2020)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon
Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression. CoRR (2020)
Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard
Time Series Alignment with Global Invariances. CoRR (2020)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty
Match and Reweight Strategy for Generalized Target Shift. CoRR (2020)
Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou
Representation Transfer by Optimal Transport. CoRR (2020)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms 13 (9) (2020)
Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS (2020)
Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy, Massimiliano Pontil
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport. CoRR (2020)
Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
Contextual Semantic Interpretability. CoRR (2020)
Titouan Vayer, Ievgen Redko, Rémi Flamary, Nicolas Courty
CO-Optimal Transport. NeurIPS (2020)
Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty
CO-Optimal Transport. CoRR (2020)
Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
Contextual Semantic Interpretability. ACCV (4) (2020)
Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. CoRR (2019)
Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary
Optimal Transport for structured data with application on graphs. ICML (2019)
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
On Reducing the Communication Cost of the Diffusion LMS Algorithm. IEEE Trans. Signal Inf. Process. over Networks 5 (1) (2019)
Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Learning with minibatch Wasserstein : asymptotic and gradient properties. CoRR (2019)
Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty
Sliced Gromov-Wasserstein. CoRR (2019)
Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel
Sliced Gromov-Wasserstein. NeurIPS (2019)
Rémi Flamary, Karim Lounici, André Ferrari
Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation. CoRR (2019)
Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia
Optimal Transport for Multi-source Domain Adaptation under Target Shift. AISTATS (2019)
Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret
Large scale Lasso with windowed active set for convolutional spike sorting. CoRR (2019)
Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation. CoRR (2018)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR (2018)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Optimal Transport for structured data. CoRR (2018)
Nicolas Courty, Rémi Flamary, Mélanie Ducoffe
Learning Wasserstein Embeddings. ICLR (Poster) (2018)
Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. CoRR (2018)
Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty
Wasserstein Distance Measure Machines. CoRR (2018)
Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
Wasserstein discriminant analysis. Mach. Learn. 107 (12) (2018)
Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (4) (2018)
Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel
Large Scale Optimal Transport and Mapping Estimation. ICLR (Poster) (2018)
Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. CoRR (2017)
Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. EUSIPCO (2017)
Nicolas Courty, Rémi Flamary, Mélanie Ducoffe
Learning Wasserstein Embeddings. CoRR (2017)
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
On reducing the communication cost of the diffusion LMS algorithm. CoRR (2017)
Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy
Optimal Transport for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 39 (9) (2017)
Rémi Flamary
Astronomical image reconstruction with convolutional neural networks. EUSIPCO (2017)
Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard
Distributed approach for deblurring large images with shift-variant blur. EUSIPCO (2017)
Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy
Joint Distribution Optimal Transportation for Domain Adaptation. CoRR (2017)
Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy
Joint distribution optimal transportation for domain adaptation. NIPS (2017)
Nicolas Courty, Rémi Flamary, Devis Tuia, Thomas Corpetti
Optimal transport for data fusion in remote sensing. IGARSS (2016)
Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso
Importance sampling strategy for non-convex randomized block-coordinate descent. CoRR (2016)
Sina Nakhostin, Nicolas Courty, Rémi Flamary, Thomas Corpetti
Supervised planetary unmixing with optimal transport. WHISPERS (2016)
Devis Tuia, Rémi Flamary, Michel Barlaud
Nonconvex Regularization in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 54 (11) (2016)
Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard
Mapping Estimation for Discrete Optimal Transport. NIPS (2016)
Devis Tuia, Rémi Flamary, Nicolas Courty
Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. CoRR (2016)
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
Doubly compressed diffusion LMS over adaptive networks. ACSSC (2016)
Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya
Optimal spectral transportation with application to music transcription. NIPS (2016)
Rémi Flamary
Astronomical image reconstruction with convolutional neural networks. CoRR (2016)
Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
Toward privacy-preserving diffusion strategies for adaptation and learning over networks. EUSIPCO (2016)
Devis Tuia, Rémi Flamary, Michel Barlaud
Non-convex regularization in remote sensing. CoRR (2016)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso
DC Proximal Newton for Nonconvex Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 27 (3) (2016)
Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya
Optimal spectral transportation with application to music transcription. CoRR (2016)
Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
Wasserstein Discriminant Analysis. CoRR (2016)
Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy
Optimal Transport for Domain Adaptation. CoRR (2015)
Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM. CoRR (2015)
André Ferrari, David Mary, Rémi Flamary, Cédric Richard
Distributed image reconstruction for very large arrays in radio astronomy. CoRR (2015)
Rémi Flamary, Mathieu Fauvel, Mauro Dalla Mura, Silvia Valero
Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series. IEEE Geosci. Remote. Sens. Lett. 12 (5) (2015)
Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty
Generalized conditional gradient: analysis of convergence and applications. CoRR (2015)
Devis Tuia, Rémi Flamary, Michel Barlaud
To be or not to be convex? A study on regularization in hyperspectral image classification. IGARSS (2015)
Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso
Importance sampling strategy for non-convex randomized block-coordinate descent. CAMSAP (2015)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso
DC Proximal Newton for Non-Convex Optimization Problems. CoRR (2015)
Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty
Multitemporal classification without new labels: A solution with optimal transport. MultiTemp (2015)
Emilie Niaf, Rémi Flamary, Olivier Rouvière, Carole Lartizien, Stéphane Canu
Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. IEEE Trans. Image Process. 23 (3) (2014)
Jérôme Lehaire, Rémi Flamary, Olivier Rouvière, Carole Lartizien
Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification. ICIP (2014)
Aurelie Boisbunon, Rémi Flamary, Alain Rakotomamonjy
Active set strategy for high-dimensional non-convex sparse optimization problems. ICASSP (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Rémi Flamary