Flamary, Rémi

37 publications

TMLR 2025 Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer

TMLR 2025 SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation on Diverse Modalities Yanis Lalou, Theo Gnassounou, Antoine Collas, Antoine de Mathelin, Oleksii Kachaiev, Ambroise Odonnat, Thomas Moreau, Alexandre Gramfort, Rémi Flamary

NeurIPS 2025 The Quest for the GRAph Level autoEncoder (GRALE) Paul Krzakala, Gabriel Melo, Charlotte Laclau, Florence d'Alché-Buc, Rémi Flamary

NeurIPS 2025 Unsupervised Learning for Optimal Transport Plan Prediction Between Unbalanced Graphs Sonia Mazelet, Rémi Flamary, Bertrand Thirion

ICMLW 2024 A Framework for Differentiable Supervised Graph Prediction Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

NeurIPS 2024 Any2Graph: Deep End-to-End Supervised Graph Prediction with an Optimal Transport Loss Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau

NeurIPS 2023 Convolution Monge Mapping Normalization for Learning on Sleep Data Théo Gnassounou, Rémi Flamary, Alexandre Gramfort

NeurIPSW 2023 Interpolating Between Clustering and Dimensionality Reduction with Gromov-Wasserstein Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty

NeurIPSW 2023 Optimal Transport with Adaptive Regularisation Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty

NeurIPS 2023 SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities Hugues Van Assel, Titouan Vayer, Rémi Flamary, Nicolas Courty

AAAI 2023 Unbalanced CO-Optimal Transport Quang Huy Tran, Hicham Janati, Nicolas Courty, Rémi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh

AISTATS 2022 Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso

NeurIPS 2022 Aligning Individual Brains with Fused Unbalanced Gromov Wasserstein Alexis Thual, Quang Huy Tran, Tatiana Zemskova, Nicolas Courty, Rémi Flamary, Stanislas Dehaene, Bertrand Thirion

ICML 2022 Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters Luc Brogat-Motte, Rémi Flamary, Celine Brouard, Juho Rousu, Florence D’Alché-Buc

UAI 2022 Multi-Source Domain Adaptation via Weighted Joint Distributions Optimal Transport Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy, Massimiliano Pontil

MLJ 2022 Optimal Transport for Conditional Domain Matching and Label Shift Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty

ICLR 2022 Semi-Relaxed Gromov-Wasserstein Divergence and Applications on Graphs Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

NeurIPS 2022 Template Based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

TMLR 2022 Time Series Alignment with Global Invariances Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard

ICML 2021 Online Graph Dictionary Learning Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty

MLOSS 2021 POT: Python Optimal Transport Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T.H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer

ICML 2021 Unbalanced Minibatch Optimal Transport; Applications to Domain Adaptation Kilian Fatras, Thibault Sejourne, Rémi Flamary, Nicolas Courty

NeurIPS 2021 Unbalanced Optimal Transport Through Non-Negative Penalized Linear Regression Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso

NeurIPS 2020 CO-Optimal Transport Vayer Titouan, Ievgen Redko, Rémi Flamary, Nicolas Courty

AISTATS 2020 Learning with Minibatch Wasserstein : Asymptotic and Gradient Properties Kilian Fatras, Younes Zine, Rémi Flamary, Remi Gribonval, Nicolas Courty

AISTATS 2019 Optimal Transport for Multi-Source Domain Adaptation Under Target Shift Ievgen Redko, Nicolas Courty, Rémi Flamary, Devis Tuia

ICML 2019 Optimal Transport for Structured Data with Application on Graphs Vayer Titouan, Nicolas Courty, Romain Tavenard, Chapel Laetitia, Rémi Flamary

NeurIPS 2019 Sliced Gromov-Wasserstein Vayer Titouan, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel

ECCV 2018 DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation Bharath Bhushan Damodaran, Benjamin Kellenberger, Remi Flamary, Devis Tuia, Nicolas Courty

ICLR 2018 Large Scale Optimal Transport and Mapping Estimation Vivien Seguy, Bharath Bhushan Damodaran, Remi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel

ICLR 2018 Learning Wasserstein Embeddings Nicolas Courty, Rémi Flamary, Mélanie Ducoffe

MLJ 2018 Wasserstein Discriminant Analysis Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy

NeurIPS 2017 Joint Distribution Optimal Transportation for Domain Adaptation Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy

NeurIPS 2016 Mapping Estimation for Discrete Optimal Transport Michaël Perrot, Nicolas Courty, Rémi Flamary, Amaury Habrard

NeurIPS 2016 Optimal Spectral Transportation with Application to Music Transcription Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya

ECML-PKDD 2014 Domain Adaptation with Regularized Optimal Transport Nicolas Courty, Rémi Flamary, Devis Tuia

MLJ 2013 Learning with Infinitely Many Features Alain Rakotomamonjy, Rémi Flamary, Florian Yger