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69

Rémi Flamary


Journal articles18 documents

  • 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. Computer Vision and Image Understanding, Elsevier, 2020, 191, pp.102863. ⟨10.1016/j.cviu.2019.102863⟩. ⟨hal-02554910⟩
  • Chaka Koné, Nhan Le Thanh, Rémi Flamary, Cécile Belleudy. Performance Comparison of the KNN and SVM Classification Algorithms in the Emotion Detection System EMOTICA. International Journal of Sensor Networks and Data Communications, Hilaris, 2018, Vol7, ⟨10.4172/2090-4886.1000153⟩. ⟨hal-01706559⟩
  • Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy. Wasserstein Discriminant Analysis. Machine Learning, Springer Verlag, 2018, 107 (12), pp.1923-1945. ⟨10.1007/s10994-018-5717-1⟩. ⟨hal-01377528⟩
  • Devis Tuia, Rémi Flamary, Michel Barlaud. Non-convex regularization in remote sensing. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2016. ⟨hal-01335890⟩
  • Alain Rakotomamonjy, Remi Flamary, Gilles Gasso. DC Proximal Newton for Non-Convex Optimization Problems. IEEE Transactions on Neural Networks, Institute of Electrical and Electronics Engineers, 2016. ⟨hal-00952445v3⟩
  • Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy. Optimal Transport for Domain Adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2016, 39 (9), pp.1853-1865. ⟨10.1109/tpami.2016.2615921⟩. ⟨hal-01377220⟩
  • Raphaël Rougeot, Rémi Flamary, Damien Galano​, Claude Aime. Performance of the hybrid externally occulted Lyot solar coronagraph: Application to ASPIICS. Astronomy and Astrophysics - A&A, EDP Sciences, 2016, ⟨10.1051/0004-6361/201629259⟩. ⟨hal-01428748⟩
  • Devis Tuia, Rémi Flamary, Nicolas Courty. Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. ISPRS Journal of Photogrammetry and Remote Sensing, Elsevier, 2015, 105, pp.1--14. ⟨10.1016/j.isprsjprs.2015.01.006⟩. ⟨hal-01103078⟩
  • Léa Laporte, Rémi Flamary, Stéphane Canu, Sébastien Déjean, Josiane Mothe. Non-convex Regularizations for Feature Selection in Ranking with Sparse SVM. IEEE Transactions on Neural Networks, Institute of Electrical and Electronics Engineers, 2014, vol. 25 (n° 6), pp. 1118-1130. ⟨10.1109/TNNLS.2013.2286696⟩. ⟨hal-01123818⟩
  • Rémi Flamary, Claude Aime. Optimization of starshades: focal plane versus pupil plane. Astronomy and Astrophysics - A&A, EDP Sciences, 2014, pp.1-10. ⟨hal-01045219⟩
  • Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary. Automatic Feature Learning for spatio-spectral image classification with sparse SVM. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2014, 52 (10), pp.6062-6074. ⟨10.1109/TGRS.2013.2294724⟩. ⟨hal-00880980⟩
  • Rémi Flamary, Nisrine Jrad, Ronald Phlypo, Marco Congedo, Alain Rakotomamonjy. Mixed-norm Regularization for Brain Decoding. Computational and Mathematical Methods in Medicine, Hindawi Publishing Corporation, 2014, 2014, pp.ID 317056. ⟨10.1155/2014/317056⟩. ⟨hal-00708243v2⟩
  • Léa Laporte, Rémi Flamary, Stephane Canu, Sébastien Déjean, Josiane Mothe. Non-convex Regularizations for Feature Selection in Ranking With Sparse SVM. IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2013, pp.1,1. ⟨10.1109/TNNLS.2013.2286696⟩. ⟨hal-00905550v2⟩
  • Alain Rakotomamonjy, Rémi Flamary, Florian Yger. Learning with infinitely many features. Machine Learning, Springer Verlag, 2013, 91 (1), pp.43-66. ⟨hal-00880945⟩
  • Rémi Flamary, Devis Tuia, Benjamin Labbé, Gustavo Camps-Valls, Alain Rakotomamonjy. Large Margin Filtering. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2012, 60 (2), pp.648 - 659. ⟨10.1109/TSP.2011.2173685⟩. ⟨hal-00528917v2⟩
  • Alain Rakotomamonjy, Rémi Flamary, Florian Yger. Learning with infinitely many features. Machine Learning, Springer Verlag, 2012. ⟨hal-00735926⟩
  • Rémi Flamary, Alain Rakotomamonjy. Decoding finger movements from ECoG signals using switching linear models. Frontiers in Neuroscience, Frontiers, 2012, 6 (29), ⟨10.3389/fnins.2012.00029⟩. ⟨hal-00671478⟩
  • Alain Rakotomamonjy, Remi Flamary, Gilles Gasso, Stéphane Canu. \ell_p-\ell_q penalty for sparse linear and sparse multiple kernel multi-task learning,. IEEE Transactions on Neural Networks, Institute of Electrical and Electronics Engineers, 2011, 22 (8), pp.1307-1320. ⟨hal-00509608⟩

Conference papers32 documents

  • Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty. Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS 2020 - 23nd International Conference on Artificial Intelligence and Statistics, Jun 2020, Palermo, Italy. pp.1-20. ⟨hal-02502329⟩
  • Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty. Sliced Gromov-Wasserstein. NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. ⟨hal-02174309⟩
  • Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia. Optimal Transport for Multi-source Domain Adaptation under Target Shift. 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, Apr 2019, Naha, Japan. ⟨hal-02082874⟩
  • Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty. Optimal Transport for structured data with application on graphs. ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.1-16. ⟨hal-02174322⟩
  • Jérôme Mariette, Celine Brouard, Remi Flamary, Nathalie Vialaneix. Unsupervised variable selection for kernel methods in systems biology. Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, Oct 2019, Toulouse, France. ⟨hal-02787253⟩
  • Bharath Bhushan Damodaran, Benjamin Kellenberger, Remi Flamary, Devis Tuia, Nicolas Courty. DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. ECCV 2018 - 15th European Conference on Computer Vision, Sep 2018, Munich, Germany. pp.467-483, ⟨10.1007/978-3-030-01225-0_28⟩. ⟨hal-01956356⟩
  • Vivien Seguy, Bharath Bhushan Damodaran, Remi Flamary, Nicolas Courty, Antoine Rolet, et al.. Large-Scale Optimal Transport and Mapping Estimation. ICLR 2018 - International Conference on Learning Representations, Apr 2018, Vancouver, Canada. pp.1-15. ⟨hal-01956354⟩
  • Nicolas Courty, Rémi Flamary, Mélanie Ducoffe. Learning Wasserstein Embeddings. ICLR 2018 - 6th International Conference on Learning Representations, Apr 2018, Vancouver, Canada. pp.1-13. ⟨hal-01956306⟩
  • Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy. Joint distribution optimal transportation for domain adaptation. NIPS 2017, Dec 2017, Los Angeles, United States. ⟨hal-01620589⟩
  • Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard. Distributed Approach for Deblurring Large Images with Shift-Variant Blur. 2017 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. ⟨10.23919/EUSIPCO.2017.8081653⟩. ⟨hal-02365713⟩
  • Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya. Optimal spectral transportation with application to music transcription. NIPS, Dec 2016, Barcelona, Spain. ⟨hal-01377533⟩
  • Sina Nakhostin, Nicolas Courty, Rémi Flamary, Thomas Corpetti. Supervised Planetary Unmixing with Optimal Transport. WHISPERS 8th workshop on Hyperspectral image and Signal Processing: Evolution in Remote Sensing, Aug 2016, Los Angeles, United States. ⟨hal-01377236⟩
  • Nicolas Courty, Rémi Flamary, Devis Tuia, Thomas Corpetti. Optimal Transport for Data Fusion in Remote Sensing. IGARSS, Jul 2016, Beijing, China. ⟨hal-01377234⟩
  • Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard. Mapping Estimation for Discrete Optimal Transport. Neural Information Processing System, Dec 2016, Barcelone, Spain. ⟨hal-01376970⟩
  • Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty. Multitemporal classification without new labels: A solution with optimal transport. Multitemp, Jul 2015, Annecy, France. ⟨10.1109/Multi-Temp.2015.7245773⟩. ⟨hal-01254329⟩
  • Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso. Importance sampling strategy for non-convex randomized block-coordinate descent. IEEE INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, Dec 2015, Cancun, Mexico. ⟨10.1109/CAMSAP.2015.7383796⟩. ⟨hal-01336588⟩
  • Nicolas Courty, Rémi Flamary, Alain Rakotomamonjy, Devis Tuia. Optimal transport for Domain adaptation. NIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014, Montréal, Canada. ⟨hal-01103073⟩
  • Rémi Flamary, Nicolas Courty, Alain Rakotomamonjy, Devis Tuia. Optimal transport with Laplacian regularization. NIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014, Montréal, Canada. ⟨hal-01103076⟩
  • André Ferrari, David Mary, Rémi Flamary, Cédric Richard. Distributed image reconstruction for very large arrays in radio astronomy. Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th, Jun 2014, Coruna, Spain. ⟨10.1109/SAM.2014.6882424⟩. ⟨hal-01170722⟩
  • Devis Tuia, Nicolas Courty, Rémi Flamary. A group-lasso active set strategy for multiclass hyperspectral image classification. Photogrammetric Computer Vision (PCV), Sep 2014, Zürich, Switzerland. pp.1--9. ⟨hal-01063450⟩
  • Aurélie Boisbunon, Rémi Flamary, Alain Rakotomamonjy. Active set strategy for high-dimensional non-convex sparse optimization problems. ICASSP - IEEE International Conference on Acoustics Speech and Signal Processing, May 2014, Florence, Italy. ⟨hal-01025585⟩
  • Aurélie Boisbunon, Rémi Flamary, Alain Rakotomamonjy, Alain Giros, Josiane Zerubia. Large Scale Sparse Optimization for Object Detection in High Resolution Images. MLSP - 24th IEEE Workshop on Machine Learning for Signal Processing, Sep 2014, Reims, France. ⟨hal-01066235⟩
  • Nicolas Courty, Rémi Flamary, Devis Tuia. Domain adaptation with regularized optimal transport. ECML/PKDD 2014, Sep 2014, Nancy, France. pp.1-16. ⟨hal-01018698⟩
  • Devis Tuia, Michele Volpi, Mauro Dalla Mura, Remi Flamary, Rakotomamonjy Alain. Discovering relevant spatial filterbanks for VHR image classification. 21st International Conference on Pattern Recognition (ICPR 2012), Nov 2012, Tsukuba, Japan. pp.3212-3215. ⟨hal-00798589⟩
  • Rémi Flamary, Xavier Anguera, Nuria Oliver. Spoken WordCloud: Clustering Recurrent Patterns in Speech. International Workshop on Content-Based Multimedia Indexing, Jun 2011, Madrid, Spain. ⟨hal-00582799⟩
  • Rémi Flamary, Florian Yger, Alain Rakotomamonjy. Selecting from an infinite set of features in SVM. European Symposium on Artificial Neural Networks, Apr 2011, Bruges, Belgium. ⟨hal-00626168⟩
  • Emilie Niaf, Rémi Flamary, Carole Lartizien, Stéphane Canu. Handling uncertainties in SVM classification. IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France. ⟨hal-00582789v2⟩
  • Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy. Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signaux. Conférence Francophone sur l'Apprentissage Automatique, May 2010, Clermont Ferrand, France. 12p. ⟨hal-00497296⟩
  • Rémi Flamary, Benjamin Labbé, Alain Rakotomamonjy. Large margin filtering for signal sequence labeling. IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2010, Mar 2010, Dallas, United States. pp.1974 - 1977, ⟨10.1109/ICASSP.2010.5495281⟩. ⟨hal-00497300v2⟩
  • Devis Tuia, Rémi Flamary, Gustavo Camps-Valls, Alain Rakotomamonjy. Learning spatial filters for multispectral image segmentation.. Machine Learning for Signal Processing, Aug 2010, Kittila, Finland. pp.1-6. ⟨hal-00528923⟩
  • Rémi Flamary, Stephane Canu, Alain Rakotomamonjy, Rose Jean-Loïc. Variational Sequence Labeling. http://mlsp2009.conwiz.dk/, Sep 2009, Grenoble, France. pp.1-6, ⟨10.1109/MLSP.2009.5306238⟩. ⟨hal-00493553⟩
  • Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso, Stephane Canu. Sélection de variables pour l'apprentissage simultanée de tâches. Confrénce D'Apprentissage (CAp), May 2009, Hammamet, France. pp.109-120. ⟨hal-00452332⟩

Poster communications1 document

  • Remi Flamary, Khalil Harrane, Mathieu Fauvel, Silvia Valero, Mauro Dalla Mura. Discrimination périodique à partir d’observations multi-temporelles. 25. Colloque GRETSI 2015, Sep 2015, Lyon, France. 4 p., 2015. ⟨hal-02799273⟩

Book sections1 document

  • Rémi Flamary, Alain Rakotomamonjy, Michèle Sebag. Statistical Learning for Brain-Computer Interfaces. Brain Computer Interfaces 1 : Fundamental and Methods, John Wiley & Sons, Inc., 2016. ⟨hal-02343066⟩

Preprints, Working Papers, ...13 documents

  • Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, et al.. Time Series Alignment with Global Invariances. 2020. ⟨hal-02473959⟩
  • Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy, Massimiliano Pontil. Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport. 2020. ⟨hal-02877779⟩
  • Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon. Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression. 2020. ⟨hal-02875560v2⟩
  • Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, et al.. Match and Reweight Strategy for Generalized Target Shift. 2020. ⟨hal-02866979⟩
  • Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty. Generating natural adversarial Remote Sensing Images. 2020. ⟨hal-02558542⟩
  • Bharath Bhushan Damodaran, Rémi Flamary, Viven Seguy, Nicolas Courty. An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images. 2019. ⟨hal-02174320⟩
  • Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, et al.. Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. 2019. ⟨hal-02174313⟩
  • Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty. Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. 2019. ⟨hal-02174316⟩
  • Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty, et al.. Dissimilarity Measure Machines. 2018. ⟨hal-01717940v2⟩
  • Rahul Mourya, André Ferrari, Rémi Flamary, Pascal Bianchi, Cédric Richard. Distributed Deblurring of Large Images of Wide Field-of-View. 2017. ⟨hal-01520266⟩
  • Ibrahim El Khalil Harrane, Rémi Flamary, Cédric Richard. On reducing the communication cost of the diffusion LMS algorithm. 2017. ⟨hal-01640064⟩
  • Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy. Optimal Transport for Domain Adaptation. 2016. ⟨hal-01170705v2⟩
  • Stephane Canu, Rémi Flamary, David Mary. Introduction to optimization with applications in astronomy and astrophysics. 2016. ⟨hal-01346134⟩

Reports2 documents

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

Theses1 document

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

Lectures1 document