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Rémi Flamary

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Publications

Neural network time-series classifiers for gravitational-wave searches in single-detector periods

A Trovato , É Chassande-Mottin , M Bejger , R Flamary , N Courty
Classical and Quantum Gravity, 2024, 41 (12), pp.125003. ⟨10.1088/1361-6382/ad40f0⟩
Journal articles hal-04175485v1
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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⟩
Journal articles hal-04254953v1
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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⟩
Journal articles hal-03410829v1
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Time Series Alignment with Global Invariances

Titouan Vayer , Romain Tavenard , Laetitia Chapel , Nicolas Courty , Rémi Flamary
Transactions on Machine Learning Research Journal, 2022
Journal articles hal-02473959v1

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⟩
Journal articles hal-03371478v1
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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⟩
Journal articles hal-02558542v1
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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⟩
Journal articles hal-02866979v2
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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⟩
Journal articles hal-03601435v1
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POT : Python Optimal Transport

Rémi Flamary , Nicolas Courty , Alexandre Gramfort , Mokhtar Zahdi Alaya , Aurélie Boisbunon
Journal of Machine Learning Research, 2021
Journal articles hal-03264013v1
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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⟩
Journal articles hal-02971153v1
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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⟩
Journal articles hal-02174320v1
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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⟩
Journal articles hal-01640064v1
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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⟩
Journal articles hal-01737876v1
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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⟩
Journal articles hal-03450077v1
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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⟩
Journal articles hal-01377528v1
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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⟩
Journal articles hal-01706559v1
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Non-convex regularization in remote sensing

Devis Tuia , Rémi Flamary , Michel Barlaud
IEEE Transactions on Geoscience and Remote Sensing, 2016
Journal articles hal-01335890v1
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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⟩
Journal articles hal-01377220v1
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DC Proximal Newton for Non-Convex Optimization Problems

Alain Rakotomamonjy , Remi Flamary , Gilles Gasso
IEEE Transactions on Neural Networks, 2016
Journal articles hal-00952445v3
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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⟩
Journal articles hal-01428748v1

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⟩
Journal articles hal-01121476v1
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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⟩
Journal articles hal-01103078v1
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Optimization of starshades: focal plane versus pupil plane

Rémi Flamary , Claude Aime
Astronomy and Astrophysics - A&A, 2014, pp.1-10
Journal articles hal-01045219v1
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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⟩
Journal articles hal-00880980v1

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⟩
Journal articles hal-00977046v1
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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⟩
Journal articles hal-00708243v2
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Learning with infinitely many features

Alain Rakotomamonjy , Rémi Flamary , Florian Yger
Machine Learning, 2013, 91 (1), pp.43-66
Journal articles hal-00880945v1
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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⟩
Journal articles hal-01123818v3
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Learning with infinitely many features

Alain Rakotomamonjy , Rémi Flamary , Florian Yger
Machine Learning, 2012
Journal articles hal-00735926v1
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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⟩
Journal articles hal-00671478v1
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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⟩
Journal articles hal-00528917v2
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\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
Journal articles hal-00509608v1
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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⟩
Journal articles hal-00617810v1
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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
Conference papers hal-04022713v1

Unbalanced CO-Optimal Transport

Quang Huy Tran , Hicham Janati , Nicolas Courty , Rémi Flamary , Ievgen Redko
AAAI, Feb 2023, Washington, United States. ⟨10.1609/aaai.v37i8.26193⟩
Conference papers hal-04250963v1

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⟩
Conference papers hal-04389993v1
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Optimal Transport with Adaptive Regularisation

Hugues Van Assel , Titouan Vayer , Remi Flamary , Nicolas Courty
NeurIPS OTML Workshop, Dec 2023, New Orleans, France
Conference papers hal-04229636v1
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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
Conference papers hal-04359792v1
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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
Conference papers 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
Conference papers hal-04356797v1
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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
Conference papers 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
Conference papers hal-03670855v1

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
Conference papers hal-03832589v1

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
Conference papers hal-03858930v1
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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
Conference papers hal-02877779v1
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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
Conference papers hal-03839517v1
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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. ⟨10.48550/arXiv.2103.03606⟩
Conference papers hal-03264020v1
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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. ⟨10.48550/arXiv.2102.06555⟩
Conference papers hal-03140349v2
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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. ⟨10.48550/arXiv.2106.04145⟩
Conference papers hal-03371489v1

CO-Optimal Transport

Ievgen Redko , Titouan Vayer , Rémi Flamary , Nicolas Courty
Neural Information Processing Systems (NeurIPS), Dec 2020, Online, Canada
Conference papers hal-02972087v1
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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
Conference papers 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
Conference papers hal-02972165v1
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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
Conference papers hal-02082874v1

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
Conference papers hal-02174322v1

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
Conference papers hal-02174309v1
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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
Conference papers hal-02787253v1

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
Conference papers hal-01956354v1

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⟩
Conference papers hal-03451602v1
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Learning Wasserstein Embeddings

Nicolas Courty , Rémi Flamary , Mélanie Ducoffe
ICLR 2018 - 6th International Conference on Learning Representations, Apr 2018, Vancouver, Canada. pp.1-13
Conference papers 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⟩
Conference papers hal-01956356v1

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⟩
Conference papers hal-03435072v1
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Joint distribution optimal transportation for domain adaptation

Nicolas Courty , Rémi Flamary , Amaury Habrard , Alain Rakotomamonjy
NIPS 2017, Dec 2017, Los Angeles, United States
Conference papers hal-01620589v1
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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⟩
Conference papers hal-02365713v1

Mapping Estimation for Discrete Optimal Transport

Michaël Perrot , Nicolas Courty , Rémi Flamary , Amaury Habrard
Neural Information Processing System, Dec 2016, Barcelone, Spain
Conference papers hal-01376970v1
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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⟩
Conference papers hal-03633804v1
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Optimal Transport for Data Fusion in Remote Sensing

Nicolas Courty , Rémi Flamary , Devis Tuia , Thomas Corpetti
IGARSS, Jul 2016, Beijing, China
Conference papers hal-01377234v1
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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
Conference papers hal-01377236v1
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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
Conference papers 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⟩
Conference papers hal-03633856v1
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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⟩
Conference papers hal-01336588v1
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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⟩
Conference papers hal-01254329v1

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⟩
Conference papers hal-01117682v1
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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⟩
Conference papers hal-01170722v1
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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
Conference papers hal-01025585v1
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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
Conference papers 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⟩
Conference papers hal-01117669v1
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Domain adaptation with regularized optimal transport

Nicolas Courty , Rémi Flamary , Devis Tuia
ECML/PKDD 2014, Sep 2014, Nancy, France. pp.1-16
Conference papers hal-01018698v1
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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
Conference papers hal-01066235v1
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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
Conference papers hal-01063450v1
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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
Conference papers hal-01103073v1

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
Conference papers hal-00798589v1
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Spoken WordCloud: Clustering Recurrent Patterns in Speech

Rémi Flamary , Xavier Anguera , Nuria Oliver
International Workshop on Content-Based Multimedia Indexing, Jun 2011, Madrid, Spain
Conference papers hal-00582799v1
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Handling uncertainties in SVM classification

Emilie Niaf , Rémi Flamary , Carole Lartizien , Stéphane Canu
IEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France
Conference papers hal-00582789v2
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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
Conference papers hal-00626168v1
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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
Conference papers hal-00497296v1
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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⟩
Conference papers hal-00497300v2
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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
Conference papers hal-00528923v1
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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⟩
Conference papers hal-00493553v1
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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
Conference papers hal-00452332v1
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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
Conference poster hal-02799273v1
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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⟩
Books hal-01686223v1

Mathematical Tools for Instrumentation & Signal Processing in Astronomy

D. Mary , R. Flamary , C. Theys , C. Aime
2016
Books hal-03436256v1
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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⟩
Book sections 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⟩
Book sections hal-03436236v1
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Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications

Antoine Collas , Rémi Flamary , Alexandre Gramfort
2024
Preprints, Working Papers, ... hal-04422094v1
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Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance

Eloi Tanguy , Rémi Flamary , Julie Delon
2024
Preprints, Working Papers, ... hal-04232769v2
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Properties of Discrete Sliced Wasserstein Losses

Eloi Tanguy , Rémi Flamary , Julie Delon
2024
Preprints, Working Papers, ... hal-04232766v2

Aligning individual brains with Fused Unbalanced Gromov-Wasserstein

Alexis Thual , Huy Tran , Tatiana Zemskova , Nicolas Courty , Rémi Flamary
2023
Preprints, Working Papers, ... hal-04256161v1

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
Preprints, Working Papers, ... hal-03673674v1

Semi-relaxed Gromov Wasserstein divergence with applications on graphs

Cédric Vincent-Cuaz , Rémi Flamary , Marco Corneli , Titouan Vayer , Nicolas Courty
2021
Preprints, Working Papers, ... hal-03376923v1
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Factored couplings in multi-marginal optimal transport via difference of convex programming

Huy Quang Tran , Hicham Janati , Ievgen Redko , Rémi Flamary , Nicolas Courty
2021
Preprints, Working Papers, ... 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
Preprints, Working Papers, ... 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
Preprints, Working Papers, ... hal-02174316v1
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Dissimilarity Measure Machines

Alain Rakotomamonjy , Abraham Traoré , Maxime Berar , Rémi Flamary , Nicolas Courty
2018
Preprints, Working Papers, ... hal-01717940v2
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Distributed Deblurring of Large Images of Wide Field-of-View

Rahul Mourya , André Ferrari , Rémi Flamary , Pascal Bianchi , Cédric Richard
2017
Preprints, Working Papers, ... hal-01520266v1
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Introduction to optimization with applications in astronomy and astrophysics

Stephane Canu , Rémi Flamary , David Mary
2016
Preprints, Working Papers, ... hal-01346134v1
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Optimal Transport for Domain Adaptation

Nicolas Courty , Rémi Flamary , Devis Tuia , Alain Rakotomamonjy
2016
Preprints, Working Papers, ... hal-01170705v2