Rémi Flamary

90%

Libre accès

111

Documents

Affiliations actuelles

89626
563936
300340

Identifiants chercheurs

remi-flamary
Google Scholar : https://scholar.google.fr/citations?user=zDnwxFQAAAAJ&hl=fr
IdRef : 188395008
0000-0002-4212-6627
Arxiv : flamary_r_1

Présentation

Publications

	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 Renewable Energy, 2023, 211, pp.938-947. ⟨10.1016/j.renene.2023.05.005⟩ Article dans une revue hal-04254953v1
	Wasserstein Adversarial Regularization for learning with label noise Kilian Fatras , Bharath Bhushan Damodaran , Sylvain Lobry , Remi Flamary , Devis Tuia IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022, 44 (10), pp.7296-7306. ⟨10.1109/TPAMI.2021.3094662⟩ Article dans une revue hal-03371478v1
	Sliding window strategy for convolutional spike sorting with Lasso Algorithm, theoretical guarantees and complexity Laurent Dragoni , Rémi Flamary , Karim Lounici , Patricia Reynaud-Bouret Acta Applicandae Mathematicae, 2022, ⟨10.1007/s10440-022-00494-x⟩ Article dans une revue hal-03410829v1
	Optimal Transport for Conditional Domain Matching and Label Shift Alain Rakotomamonjy , Rémi Flamary , Gilles Gasso , M. El Alaya , Maxime Berar Machine Learning, 2022, 111 (5), pp.1651-1670. ⟨10.1007/s10994-021-06088-2⟩ Article dans une revue hal-02866979v2
	Generating natural adversarial Remote Sensing Images Jean-Christophe Burnel , Kilian Fatras , Rémi Flamary , Nicolas Courty IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, pp.1-14. ⟨10.1109/TGRS.2021.3110601⟩ Article dans une revue hal-02558542v1
	Time Series Alignment with Global Invariances Titouan Vayer , Romain Tavenard , Laetitia Chapel , Nicolas Courty , Rémi Flamary Transactions on Machine Learning Research Journal, 2022 Article dans une revue hal-02473959v1
	Feature selection for kernel methods in systems biology Celine Brouard , Jérôme J. Mariette , Rémi Flamary , Nathalie Vialaneix NAR Genomics and Bioinformatics, 2022, 4 (1), ⟨10.1093/nargab/lqac014⟩ Article dans une revue hal-03601435v1
	POT : Python Optimal Transport Rémi Flamary , Nicolas Courty , Alexandre Gramfort , Mokhtar Zahdi Alaya , Aurélie Boisbunon Journal of Machine Learning Research, 2021 Article dans une revue hal-03264013v1
	An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images Bharath Bhushan Damodaran , Rémi Flamary , Viven Seguy , Nicolas Courty Computer Vision and Image Understanding, 2020, pp.102863. ⟨10.1016/j.cviu.2019.102863⟩ Article dans une revue hal-02174320v1
	Fused Gromov-Wasserstein Distance for Structured Objects Titouan Vayer , Laetitia Chapel , Rémi Flamary , Romain Tavenard , Nicolas Courty Algorithms, 2020, 13 (9), pp.212. ⟨10.3390/a13090212⟩ Article dans une revue hal-02971153v1
	Influence of surface roughness on diffraction in the externally occulted Lyot solar coronagraph C. Aime , R. Rougeot , R. Flamary , D. Mary Astronomy and Astrophysics - A&A, 2019, 626, pp.A1. ⟨10.1051/0004-6361/201834634⟩ Article dans une revue hal-03450077v1
	The Strong Gravitational Lens Finding Challenge R. Benton Metcalf , M. Meneghetti , Camille Avestruz , Fabio Bellagamba , Clécio R. Bom Astronomy and Astrophysics - A&A, 2019, 625, pp.A119. ⟨10.1051/0004-6361/201832797⟩ Article dans une revue hal-01737876v1
	On reducing the communication cost of the diffusion LMS algorithm Ibrahim El Khalil Harrane , Rémi Flamary , Cédric Richard IEEE Transactions on Signal and Information Processing over Networks, 2019, 5 (1), pp.100-112. ⟨10.1109/TSIPN.2018.2863218⟩ Article dans une revue hal-01640064v1
	Wasserstein Discriminant Analysis Rémi Flamary , Marco Cuturi , Nicolas Courty , Alain Rakotomamonjy Machine Learning, 2018, 107 (12), pp.1923-1945. ⟨10.1007/s10994-018-5717-1⟩ Article dans une revue hal-01377528v1
	Performance Comparison of the KNN and SVM Classification Algorithms in the Emotion Detection System EMOTICA Chaka Koné , Nhan Le Thanh , Rémi Flamary , Cécile Belleudy International Journal of Sensor Networks and Data Communications, 2018, Vol 7 (1), pp.1-9. ⟨10.4172/2090-4886.1000153⟩ Article dans une revue hal-01706559v1
	Non-convex regularization in remote sensing Devis Tuia , Rémi Flamary , Michel Barlaud IEEE Transactions on Geoscience and Remote Sensing, 2016 Article dans une revue hal-01335890v1
	DC Proximal Newton for Non-Convex Optimization Problems Alain Rakotomamonjy , Remi Flamary , Gilles Gasso IEEE Transactions on Neural Networks, 2016 Article dans une revue hal-00952445v3
	Performance of the hybrid externally occulted Lyot solar coronagraph Raphaël Rougeot , Rémi Flamary , Damien Galano , Claude Aime Astronomy and Astrophysics - A&A, 2016, ⟨10.1051/0004-6361/201629259⟩ Article dans une revue hal-01428748v1
	Optimal Transport for Domain Adaptation Nicolas Courty , Rémi Flamary , Devis Tuia , Alain Rakotomamonjy IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 39 (9), pp.1853-1865. ⟨10.1109/tpami.2016.2615921⟩ Article dans une revue hal-01377220v1
	Analysis of multi- temporal classification techniques for forecasting image time series Rémi Flamary , Mathieu Fauvel , Mauro Dalla Mura , Silvia Valero IEEE Geoscience and Remote Sensing Letters, 2015, 12 (5), pp.953-957. ⟨10.1109/LGRS.2014.2368988⟩ Article dans une revue hal-01121476v1
	Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions Devis Tuia , Rémi Flamary , Nicolas Courty ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 105, pp.1--14. ⟨10.1016/j.isprsjprs.2015.01.006⟩ Article dans une revue hal-01103078v1
	Optimization of starshades: focal plane versus pupil plane Rémi Flamary , Claude Aime Astronomy and Astrophysics - A&A, 2014, pp.1-10 Article dans une revue hal-01045219v1
	Mixed-norm Regularization for Brain Decoding Rémi Flamary , Nisrine Jrad , Ronald Phlypo , Marco Congedo , Alain Rakotomamonjy Computational and Mathematical Methods in Medicine, 2014, 2014, pp.ID 317056. ⟨10.1155/2014/317056⟩ Article dans une revue hal-00708243v2
	Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR Imaging E. Niaf , R. Flamary , O. Rouvière , C. Lartizien , S. Canu IEEE Transactions on Image Processing, 2014, 23 (3), pp.979 - 991. ⟨10.1109/TIP.2013.2295759⟩ Article dans une revue hal-00977046v1
	Automatic Feature Learning for spatio-spectral image classification with sparse SVM Devis Tuia , Michele Volpi , Mauro Dalla Mura , Alain Rakotomamonjy , Rémi Flamary IEEE Transactions on Geoscience and Remote Sensing, 2014, 52 (10), pp.6062-6074. ⟨10.1109/TGRS.2013.2294724⟩ Article dans une revue hal-00880980v1
	Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM Léa Laporte , Rémi Flamary , Stephane Canu , Sébastien Dejean , Josiane Mothe IEEE Transactions on Neural Networks and Learning Systems, 2013, vol. 25 (n° 6), pp.1118-1130. ⟨10.1109/TNNLS.2013.2286696⟩ Article dans une revue hal-01123818v3
	Learning with infinitely many features Alain Rakotomamonjy , Rémi Flamary , Florian Yger Machine Learning, 2013, 91 (1), pp.43-66 Article dans une revue hal-00880945v1
	Decoding finger movements from ECoG signals using switching linear models Rémi Flamary , Alain Rakotomamonjy Frontiers in Neuroscience, 2012, 6 (29), ⟨10.3389/fnins.2012.00029⟩ Article dans une revue hal-00671478v1
	Large Margin Filtering Rémi Flamary , Devis Tuia , Benjamin Labbé , Gustavo Camps-Valls , Alain Rakotomamonjy IEEE Transactions on Signal Processing, 2012, 60 (2), pp.648 - 659. ⟨10.1109/TSP.2011.2173685⟩ Article dans une revue hal-00528917v2
	Learning with infinitely many features Alain Rakotomamonjy , Rémi Flamary , Florian Yger Machine Learning, 2012 Article dans une revue hal-00735926v1
	\ell_p-\ell_q penalty for sparse linear and sparse multiple kernel multi-task learning, Alain Rakotomamonjy , Remi Flamary , Gilles Gasso , Stéphane Canu IEEE Transactions on Neural Networks, 2011, 22 (8), pp.1307-1320 Article dans une revue hal-00509608v1
	sw-SVM : sensor weighting Support Vector Machines for EEG-based Brain-Computer Interfaces Nisrine Jrad , Marco Congedo , Ronald Phlypo , Sandra Rousseau , Rémi Flamary Journal of Neural Engineering, 2011, 8 (5), pp.056004. ⟨10.1088/1741-2560/8/5/056004⟩ Article dans une revue hal-00617810v1

	Optimal Transport with Adaptive Regularisation Hugues Van Assel , Titouan Vayer , Remi Flamary , Nicolas Courty NeurIPS OTML Workshop, Dec 2023, New Orleans, France Communication dans un congrès hal-04229636v1
	Unbalanced CO-Optimal Transport Quang Huy Tran , Hicham Janati , Nicolas Courty , Rémi Flamary , Ievgen Redko AAAI, Feb 2023, Washington, United States Communication dans un congrès hal-04250963v1
	Entropic Wasserstein component analysis Antoine Collas , Titouan Vayer , Rémi Flamary , Arnaud Breloy IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep 2023, Rome, Italy Communication dans un congrès hal-04022713v1
	SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities Hugues Van Assel , Titouan Vayer , Rémi Flamary , Nicolas Courty Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS), Dec 2023, New Orleans, United States Communication dans un congrès hal-04103326v2
	Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein Hugues Van Assel , Cédric Vincent-Cuaz , Titouan Vayer , Rémi Flamary , Nicolas Courty NeurIPS OTML Workshop, Dec 2023, New Orleans, United States Communication dans un congrès hal-04356797v1
	Optimal transport for the multi-model combination of sub-seasonal ensemble forecasts Camille Le Coz , Alexis Tantet , Rémi Flamary , Riwal Plougonven EGU General Assembly 2023, Apr 2023, Vienna, Austria, France. ⟨10.5194/egusphere-egu23-13445⟩ Communication dans un congrès hal-04389993v1
	Convolutional Monge Mapping Normalization for learning on sleep data Theo Gnassounou , Rémi Flamary , Alexandre Gramfort NeurIPS 2023 - 37th Conference on Neural Information Processing Systems, Dec 2023, Nouvelle Orléans, United States Communication dans un congrès hal-04359792v1
	Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport Rosanna Turrisi , Rémi Flamary , Alain Rakotomamonjy , Massimiliano Pontil Conference on Uncertainty in Artificial Intelligence (UAI), Aug 2022, Eindhoven (Netherlands), France Communication dans un congrès hal-02877779v1
	Semi-relaxed Gromov-Wasserstein divergence for graphs classification Cédric Vincent-Cuaz , Rémi Flamary , Marco Corneli , Titouan Vayer , Nicolas Courty Colloque GRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France Communication dans un congrès hal-03839524v1
	Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte , Rémi Flamary , Celine Brouard , Juho Rousu , Florence d'Alché-Buc ICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States Communication dans un congrès hal-03670855v1
	Aligning individual brains with Fused Unbalanced Gromov-Wasserstein Alexis Thual , Huy Tran , Tatiana Zemskova , Nicolas Courty , Rémi Flamary NeurIPS 2022 - Conference on Neural Information Processing Systems, Nov 2022, New-Orlean, France Communication dans un congrès hal-03858930v1
	Semi-relaxed Gromov Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz , Rémi Flamary , Marco Corneli , Titouan Vayer , Nicolas Courty ICLR 2022 - 10th International Conference on Learning Representations, Apr 2022, Virtual, France. pp.1-28 Communication dans un congrès hal-03832589v1
	Template based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz , Rémi Flamary , Marco Corneli , Titouan Vayer , Nicolas Courty NeurIPS 2022 – 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States Communication dans un congrès hal-03839517v1
	Unbalanced Optimal Transport through Non-negative Penalized Linear Regression Laetitia Chapel , Rémi Flamary , Haoran Wu , Cédric Févotte , Gilles Gasso Advances in Neural Information Processing Systems (NeurIPS), Dec 2021, Online, France Communication dans un congrès hal-03371489v1
	Unbalanced minibatch Optimal Transport; applications to Domain Adaptation Kilian Fatras , Thibault Séjourné , Nicolas Courty , Rémi Flamary International Conference in machine Learning, Jul 2021, online, France Communication dans un congrès hal-03264020v1
	Online Graph Dictionary Learning Cédric Vincent-Cuaz , Titouan Vayer , Rémi Flamary , Marco Corneli , Nicolas Courty ICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Virtual Conference, United States Communication dans un congrès hal-03140349v2
	CO-Optimal Transport Ievgen Redko , Titouan Vayer , Rémi Flamary , Nicolas Courty Neural Information Processing Systems (NeurIPS), Dec 2020, Online, Canada Communication dans un congrès hal-02972087v1
	Learning with minibatch Wasserstein : asymptotic and gradient properties Kilian Fatras , Younes Zine , Rémi Flamary , Rémi Gribonval , Nicolas Courty AISTATS 2020 - 23nd International Conference on Artificial Intelligence and Statistics, Jun 2020, Palermo, Italy. pp.1-20 Communication dans un congrès hal-02502329v1
	Contextual Semantic Interpretability Diego Marcos , Ruth Fong , Sylvain Lobry , Rémi Flamary , Nicolas Courty ACCV (Asian Conference on Computer Vision), Dec 2020, Kyoto, France Communication dans un congrès hal-02972165v1
	Optimal Transport for Multi-source Domain Adaptation under Target Shift Ievgen Redko , Nicolas Courty , Rémi Flamary , Devis Tuia 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, Apr 2019, Naha, Japan Communication dans un congrès hal-02082874v1
	Sliced Gromov-Wasserstein Titouan Vayer , Rémi Flamary , Romain Tavenard , Laetitia Chapel , Nicolas Courty NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02174309v1
	Optimal Transport for structured data with application on graphs Titouan Vayer , Laetitia Chapel , Rémi Flamary , Romain Tavenard , Nicolas Courty ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.1-16 Communication dans un congrès hal-02174322v1
	Unsupervised variable selection for kernel methods in systems biology Jérôme J. Mariette , Celine Brouard , Remi Flamary , Nathalie Vialaneix Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, Oct 2019, Toulouse, France Communication dans un congrès hal-02787253v1
	Straylight analysis for the externally occulted Lyot solar coronagraph ASPIICS C. Aime , Raphaël Rougeot , Damien Galano , Volker Kirschner , Camille Galy Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave, Jun 2018, Austin, United States. pp.99, ⟨10.1117/12.2313258⟩ Communication dans un congrès hal-03451602v1
	Learning Wasserstein Embeddings Nicolas Courty , Rémi Flamary , Mélanie Ducoffe ICLR 2018 - 6th International Conference on Learning Representations, Apr 2018, Vancouver, Canada. pp.1-13 Communication dans un congrès hal-01956306v1
	DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation Bharath Bhushan Damodaran , Benjamin Kellenberger , Remi Flamary , Devis Tuia , Nicolas Courty ECCV 2018 - 15th European Conference on Computer Vision, Sep 2018, Munich, Germany. pp.467-483, ⟨10.1007/978-3-030-01225-0_28⟩ Communication dans un congrès hal-01956356v1
	Large-Scale Optimal Transport and Mapping Estimation Vivien Seguy , Bharath Bhushan Damodaran , Remi Flamary , Nicolas Courty , Antoine Rolet ICLR 2018 - International Conference on Learning Representations, Apr 2018, Vancouver, Canada. pp.1-15 Communication dans un congrès hal-01956354v1
	Joint distribution optimal transportation for domain adaptation Nicolas Courty , Rémi Flamary , Amaury Habrard , Alain Rakotomamonjy NIPS 2017, Dec 2017, Los Angeles, United States Communication dans un congrès hal-01620589v1
	Distributed Approach for Deblurring Large Images with Shift-Variant Blur Rahul Mourya , André Ferrari , Rémi Flamary , Pascal Bianchi , Cédric Richard 2017 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. ⟨10.23919/EUSIPCO.2017.8081653⟩ Communication dans un congrès hal-02365713v1
	Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters Rita Ammanouil , André Ferrari , Remi Flamary , Chiara Ferrari , David Mary 2017 25th European Signal Processing Conference (EUSIPCO), Aug 2017, Kos, Greece. pp.1435-1439, ⟨10.23919/EUSIPCO.2017.8081446⟩ Communication dans un congrès hal-03435072v1
	Supervised Planetary Unmixing with Optimal Transport Sina Nakhostin , Nicolas Courty , Rémi Flamary , Thomas Corpetti WHISPERS 8th workshop on Hyperspectral image and Signal Processing: Evolution in Remote Sensing, Aug 2016, Los Angeles, United States Communication dans un congrès hal-01377236v1
	Doubly compressed diffusion LMS over adaptive networks Ibrahim El Khalil Harrane , Rémi Flamary , Cédric Richard 2016 50th Asilomar Conference on Signals, Systems and Computers, Nov 2016, Pacific Grove, France. pp.987-991, ⟨10.1109/ACSSC.2016.7869515⟩ Communication dans un congrès hal-03633804v1
	Mapping Estimation for Discrete Optimal Transport Michaël Perrot , Nicolas Courty , Rémi Flamary , Amaury Habrard Neural Information Processing System, Dec 2016, Barcelone, Spain Communication dans un congrès hal-01376970v1
	Optimal Transport for Data Fusion in Remote Sensing Nicolas Courty , Rémi Flamary , Devis Tuia , Thomas Corpetti IGARSS, Jul 2016, Beijing, China Communication dans un congrès hal-01377234v1
	Optimal spectral transportation with application to music transcription Rémi Flamary , Cédric Févotte , Nicolas Courty , Valentin Emiya Advances in Neural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain Communication dans un congrès hal-01377533v1
	Toward privacy-preserving diffusion strategies for adaptation and learning over networks Ibrahim El Khalil Harrane , Rémi Flamary , Cédric Richard 2016 24th European Signal Processing Conference (EUSIPCO), Aug 2016, Budapest, France. pp.1513-1517, ⟨10.1109/EUSIPCO.2016.7760501⟩ Communication dans un congrès hal-03633856v1
	Multitemporal classification without new labels: A solution with optimal transport Devis Tuia , Rémi Flamary , Alain Rakotomamonjy , Nicolas Courty Multitemp, Jul 2015, Annecy, France. ⟨10.1109/Multi-Temp.2015.7245773⟩ Communication dans un congrès hal-01254329v1
	Importance sampling strategy for non-convex randomized block-coordinate descent Rémi Flamary , Alain Rakotomamonjy , Gilles Gasso IEEE INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, Dec 2015, Cancun, Mexico. ⟨10.1109/CAMSAP.2015.7383796⟩ Communication dans un congrès hal-01336588v1
	Active set strategy for high-dimensional non-convex sparse optimization problems Aurélie Boisbunon , Rémi Flamary , Alain Rakotomamonjy ICASSP - IEEE International Conference on Acoustics Speech and Signal Processing, May 2014, Florence, Italy Communication dans un congrès hal-01025585v1
	Optimal transport with Laplacian regularization Rémi Flamary , Nicolas Courty , Alain Rakotomamonjy , Devis Tuia NIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014, Montréal, Canada Communication dans un congrès hal-01103076v1
	Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification J. Lehaire , R. Flamary , Olivier Rouviere , C. Lartizien IEEE International Conference on Image Processing (ICIP) 2014, Oct 2014, Paris, France. pp.2251 - 2255, ⟨10.1109/ICIP.2014.7025456⟩ Communication dans un congrès hal-01117669v1
	Domain adaptation with regularized optimal transport Nicolas Courty , Rémi Flamary , Devis Tuia ECML/PKDD 2014, Sep 2014, Nancy, France. pp.1-16 Communication dans un congrès hal-01018698v1
	Distributed image reconstruction for very large arrays in radio astronomy André Ferrari , David Mary , Rémi Flamary , Cédric Richard Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th, Jun 2014, Coruna, Spain. ⟨10.1109/SAM.2014.6882424⟩ Communication dans un congrès hal-01170722v1
	Optimal transport for Domain adaptation Nicolas Courty , Rémi Flamary , Alain Rakotomamonjy , Devis Tuia NIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014, Montréal, Canada Communication dans un congrès hal-01103073v1
	SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer E. Niaf , R. Flamary , A. Rakotomamonjy , O. Rouviere , C. Lartizien IEEE International Conference on Image Processing (ICIP) 2014, Oct 2014, Paris, France. pp.2246 - 2250, ⟨10.1109/ICIP.2014.7025455⟩ Communication dans un congrès hal-01117682v1
	Large Scale Sparse Optimization for Object Detection in High Resolution Images Aurélie Boisbunon , Rémi Flamary , Alain Rakotomamonjy , Alain Giros , Josiane Zerubia MLSP - 24th IEEE Workshop on Machine Learning for Signal Processing, Sep 2014, Reims, France Communication dans un congrès hal-01066235v1
	A group-lasso active set strategy for multiclass hyperspectral image classification Devis Tuia , Nicolas Courty , Rémi Flamary Photogrammetric Computer Vision (PCV), Sep 2014, Zürich, Switzerland. pp.1--9 Communication dans un congrès hal-01063450v1
	Discovering relevant spatial filterbanks for VHR image classification Devis Tuia , Michele Volpi , Mauro Dalla Mura , Remi Flamary , Rakotomamonjy Alain 21st International Conference on Pattern Recognition (ICPR 2012), Nov 2012, Tsukuba, Japan. pp.3212-3215 Communication dans un congrès hal-00798589v1
	Selecting from an infinite set of features in SVM Rémi Flamary , Florian Yger , Alain Rakotomamonjy European Symposium on Artificial Neural Networks, Apr 2011, Bruges, Belgium Communication dans un congrès hal-00626168v1
	Handling uncertainties in SVM classification Emilie Niaf , Rémi Flamary , Carole Lartizien , Stéphane Canu IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France Communication dans un congrès hal-00582789v2
	Spoken WordCloud: Clustering Recurrent Patterns in Speech Rémi Flamary , Xavier Anguera , Nuria Oliver International Workshop on Content-Based Multimedia Indexing, Jun 2011, Madrid, Spain Communication dans un congrès hal-00582799v1
	Large margin filtering for signal sequence labeling Rémi Flamary , Benjamin Labbé , Alain Rakotomamonjy IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2010, Mar 2010, Dallas, United States. pp.1974 - 1977, ⟨10.1109/ICASSP.2010.5495281⟩ Communication dans un congrès hal-00497300v2
	Learning spatial filters for multispectral image segmentation. Devis Tuia , Rémi Flamary , Gustavo Camps-Valls , Alain Rakotomamonjy Machine Learning for Signal Processing, Aug 2010, Kittila, Finland. pp.1-6 Communication dans un congrès hal-00528923v1
	Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux Rémi Flamary , Benjamin Labbé , Alain Rakotomamonjy Conférence Francophone sur l'Apprentissage Automatique, May 2010, Clermont Ferrand, France. 12p Communication dans un congrès hal-00497296v1
	Variational Sequence Labeling Rémi Flamary , Stephane Canu , Alain Rakotomamonjy , Rose Jean-Loïc http://mlsp2009.conwiz.dk/, Sep 2009, Grenoble, France. pp.1-6, ⟨10.1109/MLSP.2009.5306238⟩ Communication dans un congrès hal-00493553v1
	Sélection de variables pour l'apprentissage simultanée de tâches Rémi Flamary , Alain Rakotomamonjy , Gilles Gasso , Stephane Canu Confrénce D'Apprentissage (CAp), May 2009, Hammamet, France. pp.109-120 Communication dans un congrès hal-00452332v1

	Discrimination périodique à partir d’observations multi-temporelles Remi Flamary , Khalil Harrane , Mathieu Fauvel , Silvia Valero , Mauro Dalla Mura GRETSI 2015 - XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France. , 4 p., 2015 Poster de conférence hal-02799273v1

	French SKA White Book - The French Community towards the Square Kilometre Array F. Acero , J. -T. Acquaviva , R. Adam , N. Aghanim , Mark G. Allen C. Ferrari; G. Lagache; E. Josselin; N. Vilmer; P. Zarka; S. Corbel; S. Vergani; S. Lambert; G. Theureau; S. Bosse; A. Ferrari; S. Gauffre; G. Marquette; J.-M. Martin; B. Semelin; M. Alves; K. Ferrière; M.-A. Miville-Deschenes; L. Montier. 2018, ⟨10.48550/arXiv.1712.06950⟩ Ouvrages hal-01686223v1
	Mathematical Tools for Instrumentation & Signal Processing in Astronomy D. Mary , R. Flamary , C. Theys , C. Aime 2016 Ouvrages hal-03436256v1

	Statistical Learning for BCIs Rémi Flamary , Alain Rakotomamonjy , Michèle Sebag Brain–Computer Interfaces 1: Foundations and Methods, John Wiley & Sons, Inc., 2016, ⟨10.1002/9781119144977.ch9⟩ Chapitre d'ouvrage hal-02343066v1
	Preface D. Mary , R. Flamary , C. Theys , C. Aime Mathematical Tools for Instrumentation & Signal Processing in Astronomy, 78-79, pp.1-2, 2016, ⟨10.1051/eas/1678001⟩ Chapitre d'ouvrage hal-03436236v1

	Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance Eloi Tanguy , Rémi Flamary , Julie Delon 2024 Pré-publication, Document de travail hal-04232769v2
	Properties of Discrete Sliced Wasserstein Losses Eloi Tanguy , Rémi Flamary , Julie Delon 2024 Pré-publication, Document de travail hal-04232766v2
	Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications Antoine Collas , Rémi Flamary , Alexandre Gramfort 2024 Pré-publication, Document de travail hal-04422094v1
	Aligning individual brains with Fused Unbalanced Gromov-Wasserstein Alexis Thual , Huy Tran , Tatiana Zemskova , Nicolas Courty , Rémi Flamary 2023 Pré-publication, Document de travail hal-04256161v1
	Neural network time-series classifiers for gravitational-wave searches in single-detector periods A Trovato , É Chassande-Mottin , M Bejger , R Flamary , N Courty 2023 Pré-publication, Document de travail hal-04175485v1
	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 2022 Pré-publication, Document de travail hal-03673674v1
	Semi-relaxed Gromov Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz , Rémi Flamary , Marco Corneli , Titouan Vayer , Nicolas Courty 2021 Pré-publication, Document de travail hal-03376923v1
	Factored couplings in multi-marginal optimal transport via difference of convex programming Huy Quang Tran , Hicham Janati , Ievgen Redko , Rémi Flamary , Nicolas Courty 2021 Pré-publication, Document de travail hal-03381198v2
	Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise Bharath Bhushan Damodaran , Kilian Fatras , Sylvain Lobry , Rémi Flamary , Devis Tuia 2019 Pré-publication, Document de travail hal-02174313v1
	Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties Titouan Vayer , Laetitia Chapel , Rémi Flamary , Romain Tavenard , Nicolas Courty 2019 Pré-publication, Document de travail hal-02174316v1
	Dissimilarity Measure Machines Alain Rakotomamonjy , Abraham Traoré , Maxime Berar , Rémi Flamary , Nicolas Courty 2018 Pré-publication, Document de travail hal-01717940v2
	Distributed Deblurring of Large Images of Wide Field-of-View Rahul Mourya , André Ferrari , Rémi Flamary , Pascal Bianchi , Cédric Richard 2017 Pré-publication, Document de travail hal-01520266v1
	Introduction to optimization with applications in astronomy and astrophysics Stephane Canu , Rémi Flamary , David Mary 2016 Pré-publication, Document de travail hal-01346134v1
	Optimal Transport for Domain Adaptation Nicolas Courty , Rémi Flamary , Devis Tuia , Alain Rakotomamonjy 2016 Pré-publication, Document de travail hal-01170705v2

	Generalized conditional gradient: analysis of convergence and applications Alain Rakotomamonjy , Rémi Flamary , Nicolas Courty [Research Report] LITIS; Lagrange; IRISA. 2015 Rapport hal-01217870v1
	Decoding finger movements from ECoG signals using switching linear models Rémi Flamary , Alain Rakotomamonjy 2009 Rapport hal-00601154v1

	Apprentissage statistique pour le signal: applications aux interfaces cerveau-machine Rémi Flamary Machine Learning [stat.ML]. Université de Rouen, 2011. Français. ⟨NNT : ⟩ Thèse tel-00687501v1

	Interfaces Cerveau-Machine Rémi Flamary DEA. 2011 Cours cel-00675138v1

Rémi Flamary

Présentation

Publications

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

Wasserstein Adversarial Regularization for learning with label noise

Sliding window strategy for convolutional spike sorting with Lasso Algorithm, theoretical guarantees and complexity

Optimal Transport for Conditional Domain Matching and Label Shift

Generating natural adversarial Remote Sensing Images

Time Series Alignment with Global Invariances

Feature selection for kernel methods in systems biology

POT : Python Optimal Transport

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

Fused Gromov-Wasserstein Distance for Structured Objects

Influence of surface roughness on diffraction in the externally occulted Lyot solar coronagraph

The Strong Gravitational Lens Finding Challenge

On reducing the communication cost of the diffusion LMS algorithm

Wasserstein Discriminant Analysis

Performance Comparison of the KNN and SVM Classification Algorithms in the Emotion Detection System EMOTICA

Non-convex regularization in remote sensing

DC Proximal Newton for Non-Convex Optimization Problems

Performance of the hybrid externally occulted Lyot solar coronagraph

Optimal Transport for Domain Adaptation

Analysis of multi- temporal classification techniques for forecasting image time series

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

Optimization of starshades: focal plane versus pupil plane

Mixed-norm Regularization for Brain Decoding

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

Automatic Feature Learning for spatio-spectral image classification with sparse SVM

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

Learning with infinitely many features

Decoding finger movements from ECoG signals using switching linear models

Large Margin Filtering

Learning with infinitely many features

\ell_p-\ell_q penalty for sparse linear and sparse multiple kernel multi-task learning,

sw-SVM : sensor weighting Support Vector Machines for EEG-based Brain-Computer Interfaces

Optimal Transport with Adaptive Regularisation

Unbalanced CO-Optimal Transport

Entropic Wasserstein component analysis

SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities

Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein

Optimal transport for the multi-model combination of sub-seasonal ensemble forecasts

Convolutional Monge Mapping Normalization for learning on sleep data

Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport

Semi-relaxed Gromov-Wasserstein divergence for graphs classification

Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters

Aligning individual brains with Fused Unbalanced Gromov-Wasserstein

Semi-relaxed Gromov Wasserstein divergence with applications on graphs

Template based Graph Neural Network with Optimal Transport Distances

Unbalanced Optimal Transport through Non-negative Penalized Linear Regression

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

Online Graph Dictionary Learning

CO-Optimal Transport

Learning with minibatch Wasserstein : asymptotic and gradient properties

Contextual Semantic Interpretability

Optimal Transport for Multi-source Domain Adaptation under Target Shift

Sliced Gromov-Wasserstein

Optimal Transport for structured data with application on graphs

Unsupervised variable selection for kernel methods in systems biology

Straylight analysis for the externally occulted Lyot solar coronagraph ASPIICS

Learning Wasserstein Embeddings

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

Large-Scale Optimal Transport and Mapping Estimation

Joint distribution optimal transportation for domain adaptation

Distributed Approach for Deblurring Large Images with Shift-Variant Blur

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

Supervised Planetary Unmixing with Optimal Transport

Doubly compressed diffusion LMS over adaptive networks

Mapping Estimation for Discrete Optimal Transport

Optimal Transport for Data Fusion in Remote Sensing

Optimal spectral transportation with application to music transcription

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

Multitemporal classification without new labels: A solution with optimal transport

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

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

Optimal transport with Laplacian regularization

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

Domain adaptation with regularized optimal transport

Distributed image reconstruction for very large arrays in radio astronomy

Optimal transport for Domain adaptation

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