Rémi Flamary

According to our database, Rémi Flamary authored at least 97 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment.

Théo Gnassounou, Antoine Collas, Rémi Flamary, Karim Lounici, Alexandre Gramfort

CoRR, 2024

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation.

Yanis Lalou, Théo Gnassounou, Antoine Collas, Antoine de Mathelin, Oleksii Kachaiev, Ambroise Odonnat, Alexandre Gramfort, Thomas Moreau, Rémi Flamary

CoRR, 2024

End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching.

Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

CoRR, 2024

Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications.

Antoine Collas, Rémi Flamary, Alexandre Gramfort

CoRR, 2024

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection.

Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer

CoRR, 2024

2023

Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein.

Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty

CoRR, 2023

Optimal Transport with Adaptive Regularisation.

Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty

CoRR, 2023

Properties of Discrete Sliced Wasserstein Losses.

Eloi Tanguy, Rémi Flamary, Julie Delon

CoRR, 2023

Convolutional Monge Mapping Normalization for learning on biosignals.

Théo Gnassounou, Rémi Flamary, Alexandre Gramfort

CoRR, 2023

Convolution Monge Mapping Normalization for learning on sleep data.

Théo Gnassounou, Rémi Flamary, Alexandre Gramfort

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities.

Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Entropic Wasserstein Component Analysis.

Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Unbalanced CO-optimal Transport.

Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Time Series Alignment with Global Invariances.

Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard

Trans. Mach. Learn. Res., 2022

Generating Natural Adversarial Remote Sensing Images.

Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty

IEEE Trans. Geosci. Remote. Sens., 2022

Wasserstein Adversarial Regularization for Learning With Label Noise.

Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Optimal transport for conditional domain matching and label shift.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty

Mach. Learn., 2022

Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection.

Dimitri Bouche, Rémi Flamary, Florence d'Alché-Buc, Riwal Plougonven, Marianne Clausel, Jordi Badosa, Philippe Drobinski

CoRR, 2022

Multi-source domain adaptation via weighted joint distributions optimal transport.

Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy, Massimiliano Pontil

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Template based Graph Neural Network with Optimal Transport Distances.

Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Aligning individual brains with fused unbalanced Gromov Wasserstein.

Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters.

Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc

Proceedings of the International Conference on Machine Learning, 2022

Semi-relaxed Gromov-Wasserstein divergence and applications on graphs.

Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

Proceedings of the Tenth International Conference on Learning Representations, 2022

Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers.

Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

POT: Python Optimal Transport.

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

J. Mach. Learn. Res., 2021

Semi-relaxed Gromov Wasserstein divergence with applications on graphs.

Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

CoRR, 2021

Factored couplings in multi-marginal optimal transport via difference of convex programming.

Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty

CoRR, 2021

Minibatch optimal transport distances; analysis and applications.

Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty

CoRR, 2021

Unbalanced Optimal Transport through Non-negative Penalized Linear Regression.

Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Online Graph Dictionary Learning.

Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty

Proceedings of the 38th International Conference on Machine Learning, 2021

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation.

Kilian Fatras, Thibault Séjourné, Rémi Flamary, Nicolas Courty

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images.

Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty

Comput. Vis. Image Underst., 2020

Representation Transfer by Optimal Transport.

Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou

CoRR, 2020

Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon

CoRR, 2020

Match and Reweight Strategy for Generalized Target Shift.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty

CoRR, 2020

Fused Gromov-Wasserstein Distance for Structured Objects.

Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty

Algorithms, 2020

CO-Optimal Transport.

Titouan Vayer, Ievgen Redko, Rémi Flamary, Nicolas Courty

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning with minibatch Wasserstein : asymptotic and gradient properties.

Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Contextual Semantic Interpretability.

Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

On Reducing the Communication Cost of the Diffusion LMS Algorithm.

Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard

IEEE Trans. Signal Inf. Process. over Networks, 2019

Large scale Lasso with windowed active set for convolutional spike sorting.

Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret

CoRR, 2019

Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation.

Rémi Flamary, Karim Lounici, André Ferrari

CoRR, 2019

Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise.

Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty

CoRR, 2019

Sliced Gromov-Wasserstein.

Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Transport for structured data with application on graphs.

Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary

Proceedings of the 36th International Conference on Machine Learning, 2019

Optimal Transport for Multi-source Domain Adaptation under Target Shift.

Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Wasserstein discriminant analysis.

Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy

Mach. Learn., 2018

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties.

Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty

CoRR, 2018

Optimal Transport for structured data.

Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty

CoRR, 2018

Wasserstein Distance Measure Machines.

Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty

CoRR, 2018

Large Scale Optimal Transport and Mapping Estimation.

Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Wasserstein Embeddings.

Nicolas Courty, Rémi Flamary, Mélanie Ducoffe

Proceedings of the 6th International Conference on Learning Representations, 2018

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation.

Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Optimal Transport for Domain Adaptation.

Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Joint distribution optimal transportation for domain adaptation.

Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Distributed approach for deblurring large images with shift-variant blur.

Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard

Proceedings of the 25th European Signal Processing Conference, 2017

Astronomical image reconstruction with convolutional neural networks.

Rémi Flamary

Proceedings of the 25th European Signal Processing Conference, 2017

Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters.

Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary

Proceedings of the 25th European Signal Processing Conference, 2017

2016

DC Proximal Newton for Nonconvex Optimization Problems.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso

IEEE Trans. Neural Networks Learn. Syst., 2016

Nonconvex Regularization in Remote Sensing.

Devis Tuia, Rémi Flamary, Michel Barlaud

IEEE Trans. Geosci. Remote. Sens., 2016

Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions.

Devis Tuia, Rémi Flamary, Nicolas Courty

CoRR, 2016

Non-convex regularization in remote sensing.

Devis Tuia, Rémi Flamary, Michel Barlaud

CoRR, 2016

Supervised planetary unmixing with optimal transport.

Sina Nakhostin, Nicolas Courty, Rémi Flamary, Thomas Corpetti

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Mapping Estimation for Discrete Optimal Transport.

Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Optimal spectral transportation with application to music transcription.

Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Optimal transport for data fusion in remote sensing.

Nicolas Courty, Rémi Flamary, Devis Tuia, Thomas Corpetti

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Toward privacy-preserving diffusion strategies for adaptation and learning over networks.

Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard

Proceedings of the 24th European Signal Processing Conference, 2016

Doubly compressed diffusion LMS over adaptive networks.

Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series.

Rémi Flamary, Mathieu Fauvel, Mauro Dalla Mura, Silvia Valero

IEEE Geosci. Remote. Sens. Lett., 2015

DC Proximal Newton for Non-Convex Optimization Problems.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso

CoRR, 2015

Generalized conditional gradient: analysis of convergence and applications.

Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty

CoRR, 2015

Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM.

Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe

CoRR, 2015

Multitemporal classification without new labels: A solution with optimal transport.

Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty

Proceedings of the 8th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2015

To be or not to be convex? A study on regularization in hyperspectral image classification.

Devis Tuia, Rémi Flamary, Michel Barlaud

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Importance sampling strategy for non-convex randomized block-coordinate descent.

Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014

Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM.

Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe

IEEE Trans. Neural Networks Learn. Syst., 2014

Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging.

Emilie Niaf, Rémi Flamary, Olivier Rouvière, Carole Lartizien, Stéphane Canu

IEEE Trans. Image Process., 2014

Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM.

Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary

IEEE Trans. Geosci. Remote. Sens., 2014

Mixed-Norm Regularization for Brain Decoding.

Rémi Flamary, Nisrine Jrad, Ronald Phlypo, Marco Congedo, Alain Rakotomamonjy

Comput. Math. Methods Medicine, 2014

Domain Adaptation with Regularized Optimal Transport.

Nicolas Courty, Rémi Flamary, Devis Tuia

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Distributed image reconstruction for very large arrays in radio astronomy.

André Ferrari, David Mary, Rémi Flamary, Cédric Richard

Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer.

Emilie Niaf, Rémi Flamary, Alain Rakotomamonjy, Olivier Rouvière, Carole Lartizien

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification.

Jérôme Lehaire, Rémi Flamary, Olivier Rouvière, Carole Lartizien

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Active set strategy for high-dimensional non-convex sparse optimization problems.

Aurelie Boisbunon, Rémi Flamary, Alain Rakotomamonjy

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Learning with infinitely many features.

Alain Rakotomamonjy, Rémi Flamary, Florian Yger

Mach. Learn., 2013

Create the relevant spatial filterbank in the hyperspectral jungle.

Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Kernel LMS algorithm with forward-backward splitting for dictionary learning.

Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang, Rémi Flamary

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Large Margin Filtering.

Rémi Flamary, Devis Tuia, Benjamin Labbé, Gustavo Camps-Valls, Alain Rakotomamonjy

IEEE Trans. Signal Process., 2012

Discovering relevant spatial filterbanks for VHR image classification.

Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rémi Flamary, Alain Rakotomamonjy

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Apprentissage statistique pour le signal: applications aux interfaces cerveau-machine. (Machine learning for signal processing : applications to Brain Computer Interfaces).

Rémi Flamary

PhD thesis, 2011

ell_p-ell_q Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning.

Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu

IEEE Trans. Neural Networks, 2011

Handling uncertainties in SVM classification

Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu

CoRR, 2011

Decoding finger movements from ECoG signals using switching linear models

Rémi Flamary, Alain Rakotomamonjy

CoRR, 2011

Selecting from an infinite set of features in SVM.

Rémi Flamary, Florian Yger, Alain Rakotomamonjy

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

Spoken WordCloud: Clustering recurrent patterns in speech.

Rémi Flamary, Xavier Anguera, Nuria Oliver

Proceedings of the 9th International Workshop on Content-Based Multimedia Indexing, 2011

2010

Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux

Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy

CoRR, 2010

Large margin filtering for Signal Sequence Labeling.

Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy

Proceedings of the IEEE International Conference on Acoustics, 2010