Documentation
Français (FR)

Anglais (EN)

Rémi Flamary

100%

Libre accès

14

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

titouan-vayer

	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
	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

	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
	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
	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 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
	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
	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
	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

	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
	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