Rémi Flamary
- Centre de Mathématiques Appliquées de l'Ecole polytechnique (CMAP)
- Institut Polytechnique de Paris (IP Paris)
- École polytechnique (X)
Présentation
Publications
Publications
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Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphsNeurIPS 2025 - 39th Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego (California), United States |
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The quest for the GRAph Level autoEncoder (GRALE)NeurIPS 2025 - Thirty-Ninth Annual Conference on Neural Information Processing Systems, Dec 2025, San Diego, United States |
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Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Dec 2024, Vancouver, Canada. ⟨10.48550/arXiv.2402.12269⟩ |
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Optimal Transport with Adaptive RegularisationNeurIPS OTML Workshop, Dec 2023, New Orleans, France |
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Interpolating between Clustering and Dimensionality Reduction with Gromov-WassersteinNeurIPS OTML Workshop, Dec 2023, New Orleans, United States |
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SNEkhorn: Dimension Reduction with Symmetric Entropic AffinitiesThirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS), Dec 2023, New Orleans, United States |
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Convolutional Monge Mapping Normalization for learning on sleep dataNeurIPS 2023 - 37th Conference on Neural Information Processing Systems, Dec 2023, Nouvelle Orléans, United States |
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Optimal transport for the multi-model combination of sub-seasonal ensemble forecastsEGU General Assembly 2023, Apr 2023, Vienna, Austria, France. ⟨10.5194/egusphere-egu23-13445⟩ |
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Unbalanced CO-Optimal TransportAAAI, Feb 2023, Washington, United States. ⟨10.1609/aaai.v37i8.26193⟩ |
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Entropic Wasserstein component analysisIEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep 2023, Rome, Italy |
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Provably Convergent Working Set Algorithm for Non-Convex Regularized RegressionInternational Conference on Artificial Intelligence and Statistics, 2022, Baltimore (Maryland), United States |
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Multi-source Domain Adaptation via Weighted Joint Distributions Optimal TransportConference on Uncertainty in Artificial Intelligence (UAI), Aug 2022, Eindhoven (Netherlands), France |
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Template based Graph Neural Network with Optimal Transport DistancesNeurIPS 2022 – 36th Conference on Neural Information Processing Systems, Nov 2022, New Orleans, United States |
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Semi-relaxed Gromov-Wasserstein divergence for graphs classificationColloque GRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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Learning to Predict Graphs with Fused Gromov-Wasserstein BarycentersICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore, United States |
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Aligning individual brains with Fused Unbalanced Gromov-WassersteinNeurIPS 2022 - Conference on Neural Information Processing Systems, Nov 2022, New-Orlean, France |
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Semi-relaxed Gromov Wasserstein divergence with applications on graphsICLR 2022 - 10th International Conference on Learning Representations, Apr 2022, Virtual, France. pp.1-28 |
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Unbalanced Optimal Transport through Non-negative Penalized Linear RegressionConference on Advances in Neural Information Processing Systems (NeurIPS 2021), Dec 2021, Online, France. ⟨10.48550/arXiv.2106.04145⟩ |
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Online Graph Dictionary LearningICML 2021 - 38th International Conference on Machine Learning, Jul 2021, Virtual Conference, United States. ⟨10.48550/arXiv.2102.06555⟩ |
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Unbalanced minibatch Optimal Transport; applications to Domain AdaptationInternational Conference in machine Learning, Jul 2021, online, France. ⟨10.48550/arXiv.2103.03606⟩ |
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Contextual Semantic InterpretabilityACCV (Asian Conference on Computer Vision), Dec 2020, Kyoto, France |
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CO-Optimal TransportNeural Information Processing Systems (NeurIPS), Dec 2020, Online, Canada |
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Learning with minibatch Wasserstein : asymptotic and gradient propertiesAISTATS 2020 - 23nd International Conference on Artificial Intelligence and Statistics, Jun 2020, Palermo, Italy. pp.1-20 |
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Sliced Gromov-WassersteinNeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada |
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Unsupervised variable selection for kernel methods in systems biologyJournée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, Oct 2019, Toulouse, France |
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Optimal Transport for structured data with application on graphsICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.1-16 |
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Optimal Transport for Multi-source Domain Adaptation under Target Shift22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, Apr 2019, Naha, Japan |
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DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain AdaptationECCV 2018 - 15th European Conference on Computer Vision, Sep 2018, Munich, Germany. pp.467-483, ⟨10.1007/978-3-030-01225-0_28⟩ |
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Learning Wasserstein EmbeddingsICLR 2018 - 6th International Conference on Learning Representations, Apr 2018, Vancouver, Canada. pp.1-13 |
Straylight analysis for the externally occulted Lyot solar coronagraph ASPIICSSpace Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave, Jun 2018, Austin, United States. pp.99, ⟨10.1117/12.2313258⟩ |
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Large-Scale Optimal Transport and Mapping EstimationICLR 2018 - International Conference on Learning Representations, Apr 2018, Vancouver, Canada. pp.1-15 |
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Joint distribution optimal transportation for domain adaptationNIPS 2017, Dec 2017, Los Angeles, United States |
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Distributed Approach for Deblurring Large Images with Shift-Variant Blur2017 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. ⟨10.23919/EUSIPCO.2017.8081653⟩ |
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Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters2017 25th European Signal Processing Conference (EUSIPCO), Aug 2017, Kos, Greece. pp.1435-1439, ⟨10.23919/EUSIPCO.2017.8081446⟩ |
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Optimal Transport for Data Fusion in Remote SensingIGARSS, Jul 2016, Beijing, China |
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Supervised Planetary Unmixing with Optimal TransportWHISPERS 8th workshop on Hyperspectral image and Signal Processing: Evolution in Remote Sensing, Aug 2016, Los Angeles, United States |
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Optimal spectral transportation with application to music transcriptionAdvances in Neural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain |
Toward privacy-preserving diffusion strategies for adaptation and learning over networks2016 24th European Signal Processing Conference (EUSIPCO), Aug 2016, Budapest, France. pp.1513-1517, ⟨10.1109/EUSIPCO.2016.7760501⟩ |
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Mapping Estimation for Discrete Optimal TransportNeural Information Processing System, Dec 2016, Barcelone, Spain |
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Doubly compressed diffusion LMS over adaptive networks2016 50th Asilomar Conference on Signals, Systems and Computers, Nov 2016, Pacific Grove, France. pp.987-991, ⟨10.1109/ACSSC.2016.7869515⟩ |
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Multitemporal classification without new labels: A solution with optimal transportMultitemp, Jul 2015, Annecy, France. ⟨10.1109/Multi-Temp.2015.7245773⟩ |
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Importance sampling strategy for non-convex randomized block-coordinate descentIEEE INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, Dec 2015, Cancun, Mexico. ⟨10.1109/CAMSAP.2015.7383796⟩ |
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Domain adaptation with regularized optimal transportECML/PKDD 2014, Sep 2014, Nancy, France. pp.1-16 |
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Distributed image reconstruction for very large arrays in radio astronomySensor Array and Multichannel Signal Processing Workshop (SAM), 2014 IEEE 8th, Jun 2014, Coruna, Spain. ⟨10.1109/SAM.2014.6882424⟩ |
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Optimal transport with Laplacian regularizationNIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014, Montréal, Canada |
Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classificationIEEE International Conference on Image Processing (ICIP) 2014, Oct 2014, Paris, France. pp.2251 - 2255, ⟨10.1109/ICIP.2014.7025456⟩ |
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Active set strategy for high-dimensional non-convex sparse optimization problemsICASSP - IEEE International Conference on Acoustics Speech and Signal Processing, May 2014, Florence, Italy |
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Optimal transport for Domain adaptationNIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014, Montréal, Canada |
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A group-lasso active set strategy for multiclass hyperspectral image classificationPhotogrammetric Computer Vision (PCV), Sep 2014, Zürich, Switzerland. pp.1--9 |
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Large Scale Sparse Optimization for Object Detection in High Resolution ImagesMLSP - 24th IEEE Workshop on Machine Learning for Signal Processing, Sep 2014, Reims, France |
SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancerIEEE International Conference on Image Processing (ICIP) 2014, Oct 2014, Paris, France. pp.2246 - 2250, ⟨10.1109/ICIP.2014.7025455⟩ |
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Discovering relevant spatial filterbanks for VHR image classification21st International Conference on Pattern Recognition (ICPR 2012), Nov 2012, Tsukuba, Japan. pp.3212-3215 |
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Selecting from an infinite set of features in SVMEuropean Symposium on Artificial Neural Networks, Apr 2011, Bruges, Belgium |
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Spoken WordCloud: Clustering Recurrent Patterns in SpeechInternational Workshop on Content-Based Multimedia Indexing, Jun 2011, Madrid, Spain |
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Handling uncertainties in SVM classificationIEEE Workshop on Statistical Signal Processing, Jun 2011, Nice, France |
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Learning spatial filters for multispectral image segmentation.Machine Learning for Signal Processing, Aug 2010, Kittila, Finland. pp.1-6 |
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Large margin filtering for signal sequence labelingIEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2010, Mar 2010, Dallas, United States. pp.1974 - 1977, ⟨10.1109/ICASSP.2010.5495281⟩ |
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Filtrage vaste marge pour l'étiquetage séquentiel à noyaux de signauxConférence Francophone sur l'Apprentissage Automatique, May 2010, Clermont Ferrand, France. 12p |
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Variational Sequence Labelinghttp://mlsp2009.conwiz.dk/, Sep 2009, Grenoble, France. pp.1-6, ⟨10.1109/MLSP.2009.5306238⟩ |
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Sélection de variables pour l'apprentissage simultanée de tâchesConfrénce D'Apprentissage (CAp), May 2009, Hammamet, France. pp.109-120 |
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Discrimination périodique à partir d’observations multi-temporellesGRETSI 2015 - XXVème Colloque francophone de traitement du signal et des images, Sep 2015, Lyon, France. , 4 p., 2015 |
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French SKA White Book - The French Community towards the Square Kilometre ArrayC. Ferrari; G. Lagache; M.-A. Miville-Deschenes; L. Montier; 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. 2018, ⟨10.48550/arXiv.1712.06950⟩ |
Mathematical Tools for Instrumentation & Signal Processing in Astronomy2016 |
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Statistical Learning for BCIsBrain–Computer Interfaces 1: Foundations and Methods, John Wiley & Sons, Inc., 2016, ⟨10.1002/9781119144977.ch9⟩ |
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PrefaceMathematical Tools for Instrumentation & Signal Processing in Astronomy, 78-79, pp.1-2, 2016, ⟨10.1051/eas/1678001⟩ |
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Generalized conditional gradient: analysis of convergence and applications[Research Report] LITIS; Lagrange; IRISA. 2015 |
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Decoding finger movements from ECoG signals using switching linear models2009 |
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Apprentissage statistique pour le signal: applications aux interfaces cerveau-machineMachine Learning [stat.ML]. Université de Rouen, 2011. Français. ⟨NNT : ⟩ |
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Interfaces Cerveau-MachineDEA. 2011 |