Rémi Flamary - RankMe

134 papers A* 14A 4B 4C 4Misc 4Journal 86Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Spectral-Grassmann Wasserstein metric for operator representations of dynamical systems. CoRR Thibaut Germain, Rémi Flamary, Vladimir R. Kostic, Karim Lounici
2025	J	`jnl`	Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport. CoRR Samuel Boïté, Eloi Tanguy, Julie Delon, Agnès Desolneux, Rémi Flamary
2025	J	`jnl`	Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein. Trans. Mach. Learn. Res. Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
2025	J	`jnl`	Neural Optimal Transport Meets Multivariate Conformal Prediction. CoRR Vladimir Kondratyev, Alexander Fishkov, Nikita Kotelevskii, Mahmoud Hegazy, Rémi Flamary, Maxim Panov, Eric Moulines
2025	J	`jnl`	PSDNorm: Test-Time Temporal Normalization for Deep Learning on EEG Signals. CoRR Théo Gnassounou, Antoine Collas, Rémi Flamary, Alexandre Gramfort
2025	J	`jnl`	SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities. Trans. Mach. Learn. Res. Yanis Lalou, Théo Gnassounou, Antoine Collas, Antoine de Mathelin, Ambroise Odonnat, Thomas Moreau, Alexandre Gramfort, Rémi Flamary
2025	J	`jnl`	The quest for the GRAph Level autoEncoder (GRALE). CoRR Paul Krzakala, Gabriel Melo, Charlotte Laclau, Florence d'Alché-Buc, Rémi Flamary
2025	J	`jnl`	Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphs. CoRR Sonia Mazelet, Rémi Flamary, Bertrand Thirion
2024	A*	`conf`	Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss. NeurIPS Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau
2024	J	`jnl`	Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. CoRR Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
2024	J	`jnl`	End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching. CoRR Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau
2024	J	`jnl`	Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment. CoRR Théo Gnassounou, Antoine Collas, Rémi Flamary, Karim Lounici, Alexandre Gramfort
2024	J	`jnl`	SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation. CoRR Yanis Lalou, Théo Gnassounou, Antoine Collas, Antoine de Mathelin, Oleksii Kachaiev, Ambroise Odonnat, Alexandre Gramfort, Thomas Moreau, Rémi Flamary
2024	J	`jnl`	Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications. CoRR Antoine Collas, Rémi Flamary, Alexandre Gramfort
2023	A*	`conf`	Convolution Monge Mapping Normalization for learning on sleep data. NeurIPS Théo Gnassounou, Rémi Flamary, Alexandre Gramfort
2023	J	`jnl`	Convolutional Monge Mapping Normalization for learning on biosignals. CoRR Théo Gnassounou, Rémi Flamary, Alexandre Gramfort
2023	—	`conf`	Entropic Wasserstein Component Analysis. MLSP Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy
2023	J	`jnl`	Entropic Wasserstein Component Analysis. CoRR Antoine Collas, Titouan Vayer, Rémi Flamary, Arnaud Breloy
2023	J	`jnl`	Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. CoRR Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023	J	`jnl`	Optimal Transport with Adaptive Regularisation. CoRR Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023	J	`jnl`	Properties of Discrete Sliced Wasserstein Losses. CoRR Eloi Tanguy, Rémi Flamary, Julie Delon
2023	A*	`conf`	SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. NeurIPS Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023	J	`jnl`	SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. CoRR Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023	A*	`conf`	Unbalanced CO-optimal Transport. AAAI Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
2022	A*	`conf`	Aligning individual brains with fused unbalanced Gromov Wasserstein. NeurIPS Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion
2022	A	`conf`	Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. AISTATS Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso
2022	J	`jnl`	Generating Natural Adversarial Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty
2022	A*	`conf`	Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. ICML Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
2022	J	`jnl`	Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. CoRR Luc Brogat-Motte, Rémi Flamary, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
2022	A	`conf`	Multi-source domain adaptation via weighted joint distributions optimal transport. UAI Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy, Massimiliano Pontil
2022	J	`jnl`	Optimal transport for conditional domain matching and label shift. Mach. Learn. Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty
2022	A*	`conf`	Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. ICLR Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2022	A*	`conf`	Template based Graph Neural Network with Optimal Transport Distances. NeurIPS Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2022	J	`jnl`	Template based Graph Neural Network with Optimal Transport Distances. CoRR Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2022	J	`jnl`	Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
2022	J	`jnl`	Unbalanced CO-Optimal Transport. CoRR Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh
2022	J	`jnl`	Wasserstein Adversarial Regularization for Learning With Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
2022	J	`jnl`	Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection. CoRR Dimitri Bouche, Rémi Flamary, Florence d'Alché-Buc, Riwal Plougonven, Marianne Clausel, Jordi Badosa, Philippe Drobinski
2021	J	`jnl`	Factored couplings in multi-marginal optimal transport via difference of convex programming. CoRR Quang Huy Tran, Hicham Janati, Ievgen Redko, Rémi Flamary, Nicolas Courty
2021	J	`jnl`	Minibatch optimal transport distances; analysis and applications. CoRR Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2021	A*	`conf`	Online Graph Dictionary Learning. ICML Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
2021	J	`jnl`	Online Graph Dictionary Learning. CoRR Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
2021	J	`jnl`	POT: Python Optimal Transport. J. Mach. Learn. Res. 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
2021	J	`jnl`	Semi-relaxed Gromov Wasserstein divergence with applications on graphs. CoRR Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2021	A*	`conf`	Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
2021	J	`jnl`	Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
2021	A*	`conf`	Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. ICML Kilian Fatras, Thibault Séjourné, Rémi Flamary, Nicolas Courty
2021	J	`jnl`	Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. CoRR Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary
2020	J	`jnl`	An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. Comput. Vis. Image Underst. Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty
2020	A*	`conf`	CO-Optimal Transport. NeurIPS Titouan Vayer, Ievgen Redko, Rémi Flamary, Nicolas Courty
2020	J	`jnl`	CO-Optimal Transport. CoRR Ievgen Redko, Titouan Vayer, Rémi Flamary, Nicolas Courty
2020	—	`conf`	Contextual Semantic Interpretability. ACCV (4) Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
2020	J	`jnl`	Contextual Semantic Interpretability. CoRR Diego Marcos, Ruth Fong, Sylvain Lobry, Rémi Flamary, Nicolas Courty, Devis Tuia
2020	J	`jnl`	Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2020	A	`conf`	Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2020	J	`jnl`	Match and Reweight Strategy for Generalized Target Shift. CoRR Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty
2020	J	`jnl`	Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport. CoRR Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy, Massimiliano Pontil
2020	J	`jnl`	Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression. CoRR Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon
2020	J	`jnl`	Representation Transfer by Optimal Transport. CoRR Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou
2020	J	`jnl`	Time Series Alignment with Global Invariances. CoRR Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard
2019	J	`jnl`	Concentration bounds for linear Monge mapping estimation and optimal transport domain adaptation. CoRR Rémi Flamary, Karim Lounici, André Ferrari
2019	J	`jnl`	Large scale Lasso with windowed active set for convolutional spike sorting. CoRR Laurent Dragoni, Rémi Flamary, Karim Lounici, Patricia Reynaud-Bouret
2019	J	`jnl`	Learning with minibatch Wasserstein : asymptotic and gradient properties. CoRR Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2019	J	`jnl`	On Reducing the Communication Cost of the Diffusion LMS Algorithm. IEEE Trans. Signal Inf. Process. over Networks Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
2019	A	`conf`	Optimal Transport for Multi-source Domain Adaptation under Target Shift. AISTATS Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia
2019	A*	`conf`	Optimal Transport for structured data with application on graphs. ICML Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary
2019	J	`jnl`	Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. CoRR Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
2019	A*	`conf`	Sliced Gromov-Wasserstein. NeurIPS Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel
2019	J	`jnl`	Sliced Gromov-Wasserstein. CoRR Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty
2018	J	`jnl`	An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. CoRR Bharath Bhushan Damodaran, Rémi Flamary, Vivien Seguy, Nicolas Courty
2018	—	`conf`	DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV (4) Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
2018	J	`jnl`	DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation. CoRR Bharath Bhushan Damodaran, Benjamin Kellenberger, Rémi Flamary, Devis Tuia, Nicolas Courty
2018	J	`jnl`	Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2018	—	`conf`	Large Scale Optimal Transport and Mapping Estimation. ICLR (Poster) Vivien Seguy, Bharath Bhushan Damodaran, Rémi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel
2018	—	`conf`	Learning Wasserstein Embeddings. ICLR (Poster) Nicolas Courty, Rémi Flamary, Mélanie Ducoffe
2018	J	`jnl`	Optimal Transport for structured data. CoRR Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2018	J	`jnl`	Wasserstein Distance Measure Machines. CoRR Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty
2018	J	`jnl`	Wasserstein discriminant analysis. Mach. Learn. Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
2017	—	`conf`	Astronomical image reconstruction with convolutional neural networks. EUSIPCO Rémi Flamary
2017	—	`conf`	Distributed approach for deblurring large images with shift-variant blur. EUSIPCO Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard
2017	J	`jnl`	Joint Distribution Optimal Transportation for Domain Adaptation. CoRR Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy
2017	—	`conf`	Joint distribution optimal transportation for domain adaptation. NIPS Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy
2017	J	`jnl`	Learning Wasserstein Embeddings. CoRR Nicolas Courty, Rémi Flamary, Mélanie Ducoffe
2017	—	`conf`	Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. EUSIPCO Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
2017	J	`jnl`	Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters. CoRR Rita Ammanouil, André Ferrari, Rémi Flamary, Chiara Ferrari, David Mary
2017	J	`jnl`	On reducing the communication cost of the diffusion LMS algorithm. CoRR Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
2017	J	`jnl`	Optimal Transport for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy
2016	J	`jnl`	Astronomical image reconstruction with convolutional neural networks. CoRR Rémi Flamary
2016	J	`jnl`	DC Proximal Newton for Nonconvex Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso
2016	Misc	`conf`	Doubly compressed diffusion LMS over adaptive networks. ACSSC Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
2016	J	`jnl`	Importance sampling strategy for non-convex randomized block-coordinate descent. CoRR Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso
2016	—	`conf`	Mapping Estimation for Discrete Optimal Transport. NIPS Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard
2016	J	`jnl`	Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. CoRR Devis Tuia, Rémi Flamary, Nicolas Courty
2016	J	`jnl`	Non-convex regularization in remote sensing. CoRR Devis Tuia, Rémi Flamary, Michel Barlaud
2016	J	`jnl`	Nonconvex Regularization in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. Devis Tuia, Rémi Flamary, Michel Barlaud
2016	—	`conf`	Optimal spectral transportation with application to music transcription. NIPS Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya
2016	J	`jnl`	Optimal spectral transportation with application to music transcription. CoRR Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya
2016	C	`conf`	Optimal transport for data fusion in remote sensing. IGARSS Nicolas Courty, Rémi Flamary, Devis Tuia, Thomas Corpetti
2016	—	`conf`	Supervised planetary unmixing with optimal transport. WHISPERS Sina Nakhostin, Nicolas Courty, Rémi Flamary, Thomas Corpetti
2016	—	`conf`	Toward privacy-preserving diffusion strategies for adaptation and learning over networks. EUSIPCO Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard
2016	J	`jnl`	Wasserstein Discriminant Analysis. CoRR Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
2015	J	`jnl`	Analysis of Multitemporal Classification Techniques for Forecasting Image Time Series. IEEE Geosci. Remote. Sens. Lett. Rémi Flamary, Mathieu Fauvel, Mauro Dalla Mura, Silvia Valero
2015	J	`jnl`	DC Proximal Newton for Non-Convex Optimization Problems. CoRR Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso
2015	J	`jnl`	Distributed image reconstruction for very large arrays in radio astronomy. CoRR André Ferrari, David Mary, Rémi Flamary, Cédric Richard
2015	J	`jnl`	Generalized conditional gradient: analysis of convergence and applications. CoRR Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty
2015	—	`conf`	Importance sampling strategy for non-convex randomized block-coordinate descent. CAMSAP Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso
2015	—	`conf`	Multitemporal classification without new labels: A solution with optimal transport. MultiTemp Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty
2015	J	`jnl`	Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM. CoRR Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
2015	J	`jnl`	Optimal Transport for Domain Adaptation. CoRR Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy
2015	C	`conf`	To be or not to be convex? A study on regularization in hyperspectral image classification. IGARSS Devis Tuia, Rémi Flamary, Michel Barlaud
2014	Misc	`conf`	Active set strategy for high-dimensional non-convex sparse optimization problems. ICASSP Aurelie Boisbunon, Rémi Flamary, Alain Rakotomamonjy
2014	J	`jnl`	Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM. IEEE Trans. Geosci. Remote. Sens. Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary
2014	B	`conf`	Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification. ICIP Jérôme Lehaire, Rémi Flamary, Olivier Rouvière, Carole Lartizien
2014	—	`conf`	Distributed image reconstruction for very large arrays in radio astronomy. SAM André Ferrari, David Mary, Rémi Flamary, Cédric Richard
2014	—	`conf`	Domain Adaptation with Regularized Optimal Transport. ECML/PKDD (1) Nicolas Courty, Rémi Flamary, Devis Tuia
2014	J	`jnl`	Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging. IEEE Trans. Image Process. Emilie Niaf, Rémi Flamary, Olivier Rouvière, Carole Lartizien, Stéphane Canu
2014	J	`jnl`	Mixed-Norm Regularization for Brain Decoding. Comput. Math. Methods Medicine Rémi Flamary, Nisrine Jrad, Ronald Phlypo, Marco Congedo, Alain Rakotomamonjy
2014	J	`jnl`	Mixed-norm Regularization for Brain Decoding. CoRR Rémi Flamary, Nisrine Jrad, Ronald Phlypo, Marco Congedo, Alain Rakotomamonjy
2014	J	`jnl`	Nonconvex Regularizations for Feature Selection in Ranking With Sparse SVM. IEEE Trans. Neural Networks Learn. Syst. Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe
2014	B	`conf`	SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer. ICIP Emilie Niaf, Rémi Flamary, Alain Rakotomamonjy, Olivier Rouvière, Carole Lartizien
2013	C	`conf`	Create the relevant spatial filterbank in the hyperspectral jungle. IGARSS Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary
2013	Misc	`conf`	Kernel LMS algorithm with forward-backward splitting for dictionary learning. ICASSP Wei Gao, Jie Chen, Cédric Richard, Jianguo Huang, Rémi Flamary
2013	J	`jnl`	Learning with infinitely many features. Mach. Learn. Alain Rakotomamonjy, Rémi Flamary, Florian Yger
2012	B	`conf`	Discovering relevant spatial filterbanks for VHR image classification. ICPR Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rémi Flamary, Alain Rakotomamonjy
2012	J	`jnl`	Large Margin Filtering. IEEE Trans. Signal Process. Rémi Flamary, Devis Tuia, Benjamin Labbé, Gustavo Camps-Valls, Alain Rakotomamonjy
2011	—	`—`	Apprentissage statistique pour le signal: applications aux interfaces cerveau-machine. (Machine learning for signal processing : applications to Brain Computer Interfaces). Rémi Flamary
2011	J	`jnl`	Decoding finger movements from ECoG signals using switching linear models CoRR Rémi Flamary, Alain Rakotomamonjy
2011	J	`jnl`	Handling uncertainties in SVM classification CoRR Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu
2011	J	`jnl`	Large margin filtering for signal sequence labeling CoRR Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy
2011	B	`conf`	Selecting from an infinite set of features in SVM. ESANN Rémi Flamary, Florian Yger, Alain Rakotomamonjy
2011	C	`conf`	Spoken WordCloud: Clustering recurrent patterns in speech. CBMI Rémi Flamary, Xavier Anguera, Nuria Oliver
2011	J	`jnl`	ell IEEE Trans. Neural Networks Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Stéphane Canu
2010	J	`jnl`	Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux CoRR Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy
2010	Misc	`conf`	Large margin filtering for Signal Sequence Labeling. ICASSP Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy