CV Accueil - Archive ouverte HAL

	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
	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
	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
	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
	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
	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
	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

	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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
	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

	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
	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
	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
	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
	Dissimilarity Measure Machines Alain Rakotomamonjy , Abraham Traoré , Maxime Berar , Rémi Flamary , Nicolas Courty 2018 Pré-publication, Document de travail hal-01717940v2
	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

Rémi Flamary

Présentation

Publications

Wasserstein Adversarial Regularization for learning with label noise

Optimal Transport for Conditional Domain Matching and Label Shift

Time Series Alignment with Global Invariances

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

Wasserstein Discriminant Analysis

Optimal Transport for Domain Adaptation

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

Template based Graph Neural Network with Optimal Transport Distances

Semi-relaxed Gromov-Wasserstein divergence for graphs classification

Online Graph Dictionary Learning

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation

CO-Optimal Transport

Learning with minibatch Wasserstein : asymptotic and gradient properties

Contextual Semantic Interpretability

Optimal Transport for Multi-source Domain Adaptation under Target Shift

Optimal Transport for structured data with application on graphs

Sliced Gromov-Wasserstein

Large-Scale Optimal Transport and Mapping Estimation

Learning Wasserstein Embeddings

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

Joint distribution optimal transportation for domain adaptation

Optimal spectral transportation with application to music transcription

Mapping Estimation for Discrete Optimal Transport

Supervised Planetary Unmixing with Optimal Transport

Optimal Transport for Data Fusion in Remote Sensing

A group-lasso active set strategy for multiclass hyperspectral image classification

Optimal transport with Laplacian regularization

Optimal transport for Domain adaptation

Domain adaptation with regularized optimal transport

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

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

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

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

Dissimilarity Measure Machines

Optimal Transport for Domain Adaptation

Generalized conditional gradient: analysis of convergence and applications