| 2023 | AAAI | Unbalanced CO-optimal Transport. | Quang Huy Tran, Hicham Janati, Nicolas Courty, Rmi Flamary, Ievgen Redko, Pinar Demetci, Ritambhara Singh |
| 2022 | AISTATS | Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. | Alain Rakotomamonjy, Rmi Flamary, Joseph Salmon, Gilles Gasso |
| 2022 | ICLR | Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. | Cdric Vincent-Cuaz, Rmi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty |
| 2022 | ICML | Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters. | Luc Brogat-Motte, Rmi Flamary, Cline Brouard, Juho Rousu, Florence d'Alch-Buc |
| 2022 | UAI | Multi-source domain adaptation via weighted joint distributions optimal transport. | Rosanna Turrisi, Rmi Flamary, Alain Rakotomamonjy, Massimiliano Pontil |
| 2021 | ICML | Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. | Kilian Fatras, Thibault Sjourn, Rmi Flamary, Nicolas Courty |
| 2021 | ICML | Online Graph Dictionary Learning. | Cdric Vincent-Cuaz, Titouan Vayer, Rmi Flamary, Marco Corneli, Nicolas Courty |
| 2020 | ACCV | Contextual Semantic Interpretability. | Diego Marcos, Ruth Fong, Sylvain Lobry, Rmi Flamary, Nicolas Courty, Devis Tuia |
| 2020 | AISTATS | Learning with minibatch Wasserstein : asymptotic and gradient properties. | Kilian Fatras, Younes Zine, Rmi Flamary, Rmi Gribonval, Nicolas Courty |
| 2019 | AISTATS | Optimal Transport for Multi-source Domain Adaptation under Target Shift. | Ievgen Redko, Nicolas Courty, Rmi Flamary, Devis Tuia |
| 2019 | ICML | Optimal Transport for structured data with application on graphs. | Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rmi Flamary |
| 2018 | ECCV | DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. | Bharath Bhushan Damodaran, Benjamin Kellenberger, Rmi Flamary, Devis Tuia, Nicolas Courty |
| 2018 | ICLR | Learning Wasserstein Embeddings. | Nicolas Courty, Rmi Flamary, Mlanie Ducoffe |
| 2018 | ICLR | Large Scale Optimal Transport and Mapping Estimation. | Vivien Seguy, Bharath Bhushan Damodaran, Rmi Flamary, Nicolas Courty, Antoine Rolet, Mathieu Blondel |
| 2016 | ACSSC | Doubly compressed diffusion LMS over adaptive networks. | Ibrahim El Khalil Harrane, Rmi Flamary, Cdric Richard |
| 2016 | IGARSS | Optimal transport for data fusion in remote sensing. | Nicolas Courty, Rmi Flamary, Devis Tuia, Thomas Corpetti |
| 2015 | IGARSS | To be or not to be convex? A study on regularization in hyperspectral image classification. | Devis Tuia, Rmi Flamary, Michel Barlaud |
| 2014 | ICASSP | Active set strategy for high-dimensional non-convex sparse optimization problems. | Aurelie Boisbunon, Rmi Flamary, Alain Rakotomamonjy |
| 2014 | ICIP | Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classification. | Jrme Lehaire, Rmi Flamary, Olivier Rouvire, Carole Lartizien |
| 2014 | ICIP | SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer. | Emilie Niaf, Rmi Flamary, Alain Rakotomamonjy, Olivier Rouvire, Carole Lartizien |
| 2013 | ICASSP | Kernel LMS algorithm with forward-backward splitting for dictionary learning. | Wei Gao, Jie Chen, Cdric Richard, Jianguo Huang, Rmi Flamary |
| 2013 | IGARSS | Create the relevant spatial filterbank in the hyperspectral jungle. | Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rmi Flamary |
| 2012 | ICPR | Discovering relevant spatial filterbanks for VHR image classification. | Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rmi Flamary, Alain Rakotomamonjy |
| 2011 | CBMI | Spoken WordCloud: Clustering recurrent patterns in speech. | Rmi Flamary, Xavier Anguera, Nuria Oliver |
| 2011 | ESANN | Selecting from an infinite set of features in SVM. | Rmi Flamary, Florian Yger, Alain Rakotomamonjy |
| 2010 | ICASSP | Large margin filtering for Signal Sequence Labeling. | Rmi Flamary, Benjamin Labb, Alain Rakotomamonjy |