Marc Sebban
109
Documents
Publications
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Is My Neural Net Driven by the MDL Principle?European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2023, Turin, France. pp.173-189, ⟨10.1007/978-3-031-43415-0_11⟩
Communication dans un congrès
hal-04231405v1
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Fast Multiscale Diffusion on GraphsICASSP 2022 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2022, Singapore, Singapore. ⟨10.1109/ICASSP43922.2022.9746802⟩
Communication dans un congrès
hal-03212764v2
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optimized laser induced colors and image multiplexing on plasmonic quasi-random metasurfaces using deep learning12th international conference on metamaterials, Jul 2022, torremolinos, Spain
Communication dans un congrès
ujm-03833360v1
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Optimal Tensor TransportAAAI, Feb 2022, Vancouver, Canada
Communication dans un congrès
hal-03479241v1
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Metric Learning in Optimal Transport for Domain AdaptationInternational Joint Conference on Artificial Intelligence, Jan 2021, Kyoto, Japan
Communication dans un congrès
ujm-02611800v3
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Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain AdaptationICTAI 2021 - 33rd IEEE International Conference on Tools with Artificial Intelligence, Nov 2021, Virtual conference, France. pp.1-8, ⟨10.1109/ICTAI52525.2021.00125⟩
Communication dans un congrès
hal-03353622v1
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A Swiss Army Knife for Minimax Optimal TransportThirty-seventh International Conference on Machine Learning, Jul 2020, Vienne, Austria
Communication dans un congrès
hal-02900712v1
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Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to deal with Imbalanced DataIJCAI 2020, the 29th International Joint Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan
Communication dans un congrès
hal-02611586v1
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Landmark-based Ensemble Learning with Random Fourier Features and Gradient BoostingEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium
Communication dans un congrès
hal-02900044v1
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MLFP: Un algorithme d'apprentissage de métrique pour la classification de données déséquilibréesConférence sur l'Apprentissage automatique (CAp 2020), Jun 2020, Vannes, France
Communication dans un congrès
hal-02868502v1
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Graph Diffusion Wasserstein DistancesECML PKDD 2020 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium. pp.1-16
Communication dans un congrès
hal-02795056v1
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Une version corrigée de l’algorithme des plus proches voisins pour l’optimisation de la F-mesure dans un contexte déséquilibréConférence sur l'Apprentissage automatique (CAp 2019), Jul 2019, Toulouse, France
Communication dans un congrès
hal-02868516v1
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Metric Learning from Imbalanced DataInternational Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States
Communication dans un congrès
hal-02276288v1
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An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced DataInternational Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States
Communication dans un congrès
hal-02318868v1
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From Cost-Sensitive Classification to Tight F-measure BoundsAISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Okinawa, Japan. pp.1245-1253
Communication dans un congrès
hal-02049763v1
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Transport Optimal sous Contrainte de Régularité pour l'Adaptation de Domaines entre Graphes avec AttributsGRETSI 2019 - XXVIIème Colloque francophonede traitement du signal et des images, Aug 2019, Lille, France. pp.1-4
Communication dans un congrès
hal-02154883v1
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Differentially Private Optimal Transport: Application to Domain AdaptationIJCAI 2019, Aug 2019, Macao, China
Communication dans un congrès
hal-02124877v1
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Revisite des "random Fourier features" basée sur l'apprentissage PAC-Bayésien via des points d'intérêtsCAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France
Communication dans un congrès
hal-02148600v1
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Apprentissage de métrique pour la classification supervisée de données déséquilibréesConférence sur l'Apprentissage Automatique, Jun 2018, Rouen, France
Communication dans un congrès
hal-01888672v1
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Fast and Provably Effective Multi-view Classification with Landmark-based SVMECML PKDD 2018, Sep 2018, Dublin, Ireland
Communication dans un congrès
hal-01863895v1
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Online Non-Linear Gradient Boosting in Multi-Latent Spaces17th International Symposium on Intelligent Data Analysis (IDA'18), Oct 2018, s-Hertogenbosch, Netherlands
Communication dans un congrès
hal-01889994v1
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Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication.Conférence pour l'Apprentissage Automatique, Jun 2018, Saint-Etienne du Rouvray, France
Communication dans un congrès
hal-01803183v1
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Tree-based Cost-Sensitive Methods for Fraud Detection in Imbalanced DataIDA 2018 - 17th International Symposium on Intelligent Data Analysis, Oct 2018, ‘s-Hertogenbosch, Netherlands. pp.213-224, ⟨10.1007/978-3-030-01768-2_18⟩
Communication dans un congrès
hal-01895967v1
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Efficient top rank optimization with gradient boosting for supervised anomaly detectionEuropean Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'17), Sep 2017, Skopje, Macedonia
Communication dans un congrès
hal-01611346v2
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Efficient top rank optimization with gradient boosting for supervised anomaly detectionECML-PKDD 2017, Sep 2017, Skopje, Macedonia
Communication dans un congrès
hal-01613561v1
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Theoretical Analysis of Domain Adaptation with Optimal TransportECML PKDD 2017, Sep 2017, Skopje, Macedonia
Communication dans un congrès
hal-01613564v1
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Apprentissage de sphères maximales d’exclusion avec garanties théoriquesConférence sur l'Apprentissage Automatique, Jun 2017, Grenoble, France
Communication dans un congrès
hal-01581550v1
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Apprentissage de Combinaisons Convexes de Métriques Locales avec Garanties de GénéralisationCAp2016, Jul 2016, Marseille, France
Communication dans un congrès
hal-01359282v1
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beta-risk: a New Surrogate Risk for Learning from Weakly Labeled DataNIPS 2016, Dec 2016, Barcelona, Spain
Communication dans un congrès
hal-01359298v1
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Metric Learning as Convex Combinations of Local Models with Generalization GuaranteesCVPR2016, Jun 2016, Las Vegas, United States
Communication dans un congrès
hal-01323567v1
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Computing Image Descriptors from Annotations Acquired from External ToolsROBOT 2015: Second Iberian Robotics Conference, Nov 2015, Lisbon, Portugal
Communication dans un congrès
hal-01224441v1
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Algorithmic Robustness for Semi-Supervised (ε, γ, τ )-Good Metric LearningInternational Conference on Neural Information Processing ICONIP, Nov 2015, Istanbul, Turkey. pp.10
Communication dans un congrès
hal-01223411v1
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Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain AdaptationComputer Vision and Pattern Recognition (CVPR'2015), Jun 2015, Boston, United States
Communication dans un congrès
hal-01124975v1
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Joint Semi-supervised Similarity Learning for Linear ClassificationECML-PKDD 2015, Sep 2015, Porto, Portugal. ⟨10.1007/978-3-319-23528-837⟩
Communication dans un congrès
hal-01204642v1
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Supervised Spectral Subspace Clustering for Visual Dictionary Creation in the Context of Image ClassificationACPR 2015: 3rd IAPR Asian Conference on Pattern Recognition, Nov 2015, Kuala Lumpur, Malaysia
Communication dans un congrès
hal-01224466v1
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Modélisation de Distances Couleur Uniformes par Apprentissage de Métriques LocalesCAp'2014 : Conférence d'Apprentissage Automatique, Jul 2014, Saint-Étienne, France
Communication dans un congrès
hal-01016472v1
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Modeling Perceptual Color Differences by Local Metric LearningEuropean Conference on Computer Vision, Sep 2014, Zurich, Switzerland
Communication dans un congrès
hal-01009610v1
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Unsupervised Visual Domain Adaptation Using Subspace AlignmentICCV 2013, Dec 2013, Sydney, Australia. pp.2960-2967
Communication dans un congrès
hal-00869417v1
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Boosting for Unsupervised Domain AdaptationECML PKDD 2013, Sep 2013, Prague, Czech Republic. pp.433-448
Communication dans un congrès
hal-00869394v1
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Vote de majorité a priori contraint pour la classification binaire : spécification au cas des plus proches voisinsConférence sur l'Apprentissage Automatique (CAp), Jul 2013, Lille, France
Communication dans un congrès
hal-00850241v1
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Speeding Up Syntactic Learning Using Contextual InformationInternational Conference on Grammatical Inference, Sep 2012, United States. pp.49-53
Communication dans un congrès
hal-00717809v1
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Handwritten Digit Recognition using Edit Distance-Based KNNTeaching Machine Learning Workshop, Jun 2012, Edinburgh, Scotland, United Kingdom
Communication dans un congrès
hal-00714509v1
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Similarity Learning for Provably Accurate Sparse Linear ClassificationInternational Conference on Machine Learning, Jun 2012, United Kingdom
Communication dans un congrès
hal-00708401v1
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Apprentissage de bonnes similarités pour la classification linéaire parcimonieuseConférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. 16 p
Communication dans un congrès
hal-00690242v1
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Un Cadre Formel de Boosting pour l'Adaptation de DomaineConférence Francophone sur l'Apprentissage Automatique - CAp 2012, Laurent Bougrain, May 2012, Nancy, France. 16 p
Communication dans un congrès
hal-00745487v1
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Discriminative Feature Fusion for Image ClassificationComputer Vision and Pattern Recognition, Jun 2012, Rhode Island, United States. pp.3434-3441
Communication dans un congrès
hal-00690244v1
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Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image ClassificationICTAI 2011, Nov 2011, United States
Communication dans un congrès
hal-00618757v1
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Learning Good Edit Similarities with Generalization GuaranteesEuropean Conference on Machine Learning, Sep 2011, Athens, Greece. pp.188-203
Communication dans un congrès
hal-00608631v1
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An Experimental Study on Learning with Good Edit Similarity FunctionsICTAI 2011, Nov 2011, United States
Communication dans un congrès
hal-00618706v1
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Using the H-divergence to Prune Probabilistic AutomataICTAI 2011, Nov 2011, Boca Raton, United States
Communication dans un congrès
hal-00618713v1
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Accurate Visual Word Construction using a Supervised Approach25th International Conference of Image and Vision Computing New Zealand, Nov 2010, New Zealand
Communication dans un congrès
hal-00555639v1
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Weighted Symbols-based Edit Distance for String-Structured Image ClassificationECML PKDD 2010 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases., Sep 2010, Barcelona, Spain
Communication dans un congrès
hal-00499468v1
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Learning Constrained Edit State Machines21st IEEE International Conference on Tools with Artificial Intelligence, Nov 2009, United States. pp.734-741
Communication dans un congrès
hal-00485560v1
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Discovering Patterns in Flows: a Privacy Preserving Approach with the ACSM PrototypeECML PKDD, Sep 2009, Bled, Slovenia. pp.734--737
Communication dans un congrès
hal-00431774v1
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Apprentissage de noyaux d'édition de séquencesConférence d'Apprentissage : CAP 2009, May 2009, Hammamet, Tunisia. pp.à venir
Communication dans un congrès
ujm-00378078v1
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Melody Recognition with Learned Edit DistancesStructural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2008 and SPR 2008, Dec 2008, Orlando, United States. pp.86-96
Communication dans un congrès
hal-00322432v1
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Learning String Edit Similarities using Constrained Finite State MachinesCAp'08, May 2008, Porquerolles, France. pp.37-52
Communication dans un congrès
hal-00369444v1
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SEDiL: Software for Edit Distance LearningEuropean Conference on Machine Learning (ECML 2008), Sep 2008, Belgium. pp.672-677
Communication dans un congrès
hal-00295148v1
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Learning Metrics between Tree Structured Data: Application to Image Recognition18th European Conference on Machine Learning (ECML), Sep 2007, Warsaw, Poland. pp.54-66
Communication dans un congrès
hal-00165954v1
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Correct your Text with GoogleIEEE International Conference on Web Intelligence, Nov 2007, Fremont, United States. pp.xx-xx
Communication dans un congrès
hal-00175284v1
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A Discriminative Model of Stochastic Edit Distance in the form of a Conditional Transducer8th International Colloquium on Grammatical Inference, Sep 2006, Tokyo, Japan. pp.240-252
Communication dans un congrès
ujm-00109698v1
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Boosting d'un pool d'apprenants faiblesCAp 2006, May 2006, Trégastel, France. pp.283-298
Communication dans un congrès
hal-00114532v1
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Using Learned Conditional Distributions as Edit DistanceStructural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Aug 2006, Hong Kong, China. pp 403-411, ISBN 3-540-37236-9
Communication dans un congrès
hal-00322429v1
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Sequence Mining Without Sequences: a New Way for Privacy Preserving2006, pp.347-354
Communication dans un congrès
hal-00114132v1
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Learning Conditional Transducers for Estimating the Distribution of String Edit CostsGrammatical Inference: workshop on open problems and new directions, May 2006, Saint-Etienne, France
Communication dans un congrès
ujm-00352796v1
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Learning Stochastic Tree Edit Distance17th European Conference on Machine Learning, Sep 2006, Berlin, Germany. pp.42-53
Communication dans un congrès
ujm-00109696v1
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Constrained Sequence Mining based on Probabilistic Finite State AutomataConférence d'Apprentissage Automatique, 2005, France. pp.15-30
Communication dans un congrès
hal-00374062v1
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Constrained Sequence Mining based on Probabilistic Finite State AutomataWorkshop on Mining Graphs, Trees and Structured Data at ECML/PKDD, Oct 2005, Portugal
Communication dans un congrès
hal-00374061v1
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Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms18th International Florida Artificial Intelligence Research Society conference, May 2005, United States. pp.493-498
Communication dans un congrès
ujm-00378062v1
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Advances in Domain Adaptation TheoryElsevier; ISTE, 2019, 9781785482366
Ouvrages
hal-02286281v1
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Metric LearningMorgan & Claypool Publishers (USA), Synthesis Lectures on Artificial Intelligence and Machine Learning, pp 1-151, 9 (1), pp.1-151, 2015, Synthesis Lectures on Artificial Intelligence and Machine Learning, ⟨10.2200/S00626ED1V01Y201501AIM030⟩
Ouvrages
hal-01121733v1
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Proceddings of 16ème Conférence d’Apprentissage CAp’20142014
Ouvrages
hal-01357561v1
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Unsupervised Domain Adaptation Based on Subspace AlignmentDomain Adaptation in Computer Vision Applications. Advances in Computer Vision and Pattern Recognition, 2017
Chapitre d'ouvrage
hal-01613051v1
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Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNs2024
Pré-publication, Document de travail
hal-04518335v1
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Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting2019
Pré-publication, Document de travail
hal-02148618v1
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A Survey on Metric Learning for Feature Vectors and Structured Data[Research Report] Laboratoire Hubert Curien UMR 5516. 2013
Rapport
hal-01666935v1
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