Amaury Habrard

Publications

Article dans une revue (32)

A General Framework for the Practical Disintegration of PAC-Bayesian Bounds Paul Viallard,Pascal Germain,Amaury Habrard,Emilie Morvant Machine Learning, 2024, 113 (2), pp.519-604. ⟨10.1007/s10994-023-06391-0⟩ Article dans une revue hal-03143025v3
On the theoretical limit of gradient descent for Simple Recurrent Neural Networks with finite precision Volodimir Mitarchuk,Rémi Emonet,Rémi Eyraud,Amaury Habrard Transactions on Machine Learning Research Journal, 2024, 3124 Article dans une revue hal-04874202v1
Scoring the predictions: a way to improve profiling side-channel attacks Damien Robissout,Lilian Bossuet,Amaury Habrard Journal of Cryptographic Engineering, 2024, ⟨10.1007/s13389-024-00346-4⟩ Article dans une revue hal-04538242v1
Learning Complexity to Guide Light-Induced Self-Organized Nanopatterns Eduardo Brandao,Anthony Nakhoul,Stefan Duffner,Rémi Emonet,Florence Garrelieet al. Physical Review Letters, 2023, 130, pp.226201. ⟨10.1103/physrevlett.130.226201⟩ Article dans une revue ujm-04157829v1
Conditional Variational AutoEncoder based on Stochastic Attacks Gabriel Zaid,Lilian Bossuet,Mathieu Carbone,Amaury Habrard,Alexandre Venelli IACR Transactions on Cryptographic Hardware and Embedded Systems, 2023, pp.310-357. ⟨10.46586/tches.v2023.i2.310-357⟩ Article dans une revue hal-04500182v1
Predicting Laser-Induced Colors of Random Plasmonic Metasurfaces and Optimizing Image Multiplexing Using Deep Learning Hongfeng Ma,Nicolas Dalloz,Amaury Habrard,Marc Sebban,Florian Sterlet al. ACS Nano, 2022, 16 (6), pp.9410-9419. ⟨10.1021/acsnano.2c02235⟩ Article dans une revue ujm-03833058v1
Learning PDE to Model Self-Organization of Matter Eduardo Brandao,Jean-Philippe Colombier,Stefan Duffner,Rémi Emonet,Florence Garrelieet al. Entropy, 2022, 24 (8), ⟨10.3390/e24081096⟩ Article dans une revue ujm-03823722v1
MetaAP: a meta-tree-based ranking algorithm optimizing the average precision from imbalanced data Rémi Viola,Léo Gautheron,Amaury Habrard,Marc Sebban Pattern Recognition Letters, 2022, 161, pp.161-167. ⟨10.1016/j.patrec.2022.07.019⟩ Article dans une revue hal-03826066v1
Variational graph autoencoders for multiview canonical correlation analysis Yacouba Kaloga,Pierre Borgnat,Sundeep Prabhakar Chepuri,Patrice Abry,Amaury Habrard Signal Processing, 2021, 188, pp.108182. ⟨10.1016/j.sigpro.2021.108182⟩ Article dans une revue hal-03436007v1
Improving Deep Learning Networks for Profiled Side-channel Analysis Using Performance Improvement Techniques Damien Robissout,Lilian Bossuet,Amaury Habrard,Vincent Grosso ACM Journal on Emerging Technologies in Computing Systems, 2021, 17 (3), pp.1-30. ⟨10.1145/3453162⟩ Article dans une revue hal-03438972v1
A Nearest Neighbor Algorithm for Imbalanced Classification Rémi Viola,Rémi Emonet,Amaury Habrard,Guillaume Metzler,Sébastien Riouet al. International Journal on Artificial Intelligence Tools, 2021, 30 (03), pp.2150013. ⟨10.1142/S0218213021500135⟩ Article dans une revue hal-04646114v2
Efficiency through Diversity in Ensemble Models applied to Side-Channel Attacks Gabriel Zaid,Lilian Bossuet,Amaury Habrard,Alexandre Venelli IACR Transactions on Cryptographic Hardware and Embedded Systems, 2021, pp.60-96. ⟨10.46586/tches.v2021.i3.60-96⟩ Article dans une revue hal-03353850v1
Iterative multilinear optimization for planar model fitting under geometric constraints Jorge Azorin-Lopez,Marc Sebban,Andres Fuster-Guillo,Marcelo Saval-Calvo,Amaury Habrard PeerJ Computer Science, 2021, 7, pp.e691. ⟨10.7717/peerj-cs.691⟩ Article dans une revue hal-03375056v1
Hierarchical and Unsupervised Graph Representation Learning with Loukas’s Coarsening Louis Béthune,Yacouba Kaloga,Pierre Borgnat,Aurélien Garivier,Amaury Habrard Algorithms, 2020, 13 (9), pp.206. ⟨10.3390/a13090206⟩ Article dans une revue hal-02955666v1
Ranking Loss: Maximizing the Success Rate in Deep Learning Side-Channel Analysis Gabriel Zaid,Lilian Bossuet,François Dassance,Amaury Habrard,Alexandre Venelli IACR Transactions on Cryptographic Hardware and Embedded Systems, 2020, pp.25-55. ⟨10.46586/tches.v2021.i1.25-55⟩ Article dans une revue hal-03271977v1
Metric Learning from Imbalanced Data with Generalization Guarantees Léo Gautheron,Amaury Habrard,Emilie Morvant,Marc Sebban Pattern Recognition Letters, 2020, 133, pp.298-304. ⟨10.1016/j.patrec.2020.03.008⟩ Article dans une revue hal-02868492v1
PAC-Bayes and Domain Adaptation Pascal Germain,Amaury Habrard,François Laviolette,Emilie Morvant Neurocomputing, 2020, 379, pp.379-397. ⟨10.1016/j.neucom.2019.10.105⟩ Article dans une revue hal-01563152v3
Methodology for Efficient CNN Architectures in Profiling Attacks Gabriel Zaid,Lilian Bossuet,Amaury Habrard,Alexandre Venelli IACR Transactions on Cryptographic Hardware and Embedded Systems, 2020, 2020 (1), pp.1-36. ⟨10.13154/tches.v2020.i1.1-36⟩ Article dans une revue hal-02937817v1
On the analysis of adaptability in multi-source domain adaptation Ievgen Redko,Amaury Habrard,Marc Sebban Machine Learning, 2019, ⟨10.1007/s10994-019-05823-0⟩ Article dans une revue hal-02168941v1
Deep Multi-Wasserstein Unsupervised Domain Adaptation Tien-Nam Le,Amaury Habrard,Marc Sebban Pattern Recognition Letters, 2019, 125, pp.249-255. ⟨10.1016/j.patrec.2019.04.025⟩ Article dans une revue hal-02114975v1
Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees Guillaume Metzler,Xavier Badiche,Brahim Belkasmi,Elisa Fromont,Amaury Habrardet al. Pattern Recognition Letters, 2018, 112, pp.310-316. ⟨10.1016/j.patrec.2018.08.016⟩ Article dans une revue hal-01878830v1
Learning Discriminative Tree Edit Similarities for Linear Classification - Application to Melody Recognition Aurélien Bellet,José F. Bernabeu,Amaury Habrard,Marc Sebban Neurocomputing, 2016, 214, pp.155-161. ⟨10.1016/j.neucom.2016.06.006⟩ Article dans une revue hal-01330492v1
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning François Denis,Mattias Gybels,Amaury Habrard Journal of Machine Learning Research, 2016, 17 (31), pp.1-32 Article dans une revue hal-01306915v1
A New Boosting Algorithm for Provably Accurate Unsupervised Domain Adaptation Amaury Habrard,Jean-Philippe Peyrache,Marc Sebban Knowledge and Information Systems (KAIS), 2015, pp.1. ⟨10.1007/s10115-015-0839-2⟩ Article dans une revue hal-01144896v1
Robustness and Generalization for Metric Learning Aurélien Bellet,Amaury Habrard Neurocomputing, 2015, pp.16. ⟨10.1016/j.neucom.2014.09.044⟩ Article dans une revue hal-01075370v1
Learning A Priori Constrained Weighted Majority Votes Aurélien Bellet,Amaury Habrard,Emilie Morvant,Marc Sebban Machine Learning, 2014, 97 (1-2), pp.129-154. ⟨10.1007/s10994-014-5462-z⟩ Article dans une revue hal-01009578v1
Iterative Self-labeling Domain Adaptation for Linear Structured Image Classification Amaury Habrard,Jean-Philippe Peyrache,Marc Sebban International Journal on Artificial Intelligence Tools, 2013, 22 (05), pp.1360005. ⟨10.1142/S0218213013600051⟩ Article dans une revue hal-00869404v1
Parsimonious Unsupervised and Semi-Supervised Domain Adaptation with Good Similarity Functions Emilie Morvant,Amaury Habrard,Stéphane Ayache Knowledge and Information Systems (KAIS), 2012, 33 (2), pp.309-349. ⟨10.1007/s10115-012-0516-7⟩ Article dans une revue hal-00686205v1
Good edit similarity learning by loss minimization Aurélien Bellet,Amaury Habrard,Marc Sebban Machine Learning, 2012, 89, pp.5-35. ⟨10.1007/s10994-012-5293-8⟩ Article dans une revue hal-00690240v1
Using Contextual Representations to Efficiently Learn Context-Free Languages Alexander Clark,Rémi Eyraud,Amaury Habrard Journal of Machine Learning Research, 2010, 11, pp.2707-2744 Article dans une revue hal-00607098v1
Learning Probabilistic Models of Tree Edit Distance Marc Bernard,Laurent Boyer,Amaury Habrard,Marc Sebban Pattern Recognition, 2008, 41 (8), pp.2611-2629. ⟨10.1016/j.patcog.2008.01.011⟩ Article dans une revue hal-00224992v1
Detecting Irrelevant subtrees to improve probabilistic learning from tree-structured data Amaury Habrard,Marc Bernard,Marc Sebban Fundamenta Informaticae, 2005, 66 (1,2), pp.103-130 Article dans une revue hal-00369445v1

Communication dans un congrès (103)

Douglas-Rachford Splitting for Hybrid Differentiable Models Abdel-Rahim Mezidi,Jordan Patracone,Amaury Habrard Workshop on Differentiable Systems and Scientific Machine Learning (DiffSys), EurIPS, Dec 2025, Copenhagen, Denmark Communication dans un congrès hal-05343823v1
Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural Networks Antoine Caradot,Rémi Emonet,Amaury Habrard,Abdel-Rahim Mezidi,Marc Sebban European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2025, Porto, Portugal. pp.19-37, ⟨10.1007/978-3-032-06096-9_2⟩ Communication dans un congrès hal-05017201v3
Contextual Hypernetwork for Adaptive Prediction of Laser-Induced Colors on Quasi-Random Plasmonic Metasurfaces Thibault Girardin,Nathalie Destouches,Amaury Habrard European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2025, Porto (Portugal), France Communication dans un congrès hal-05271900v1
Méthode de quadrature pour les PINNs fondée théoriquement sur la hessienne des résiduels Antoine Caradot,Rémi Emonet,Abdel-Rahim Mezidi,Amaury Habrard,Marc Sebban 30ème Colloque sur le traitement du signal et des images GRETSI, Aug 2025, Strasbourg, France Communication dans un congrès hal-05128227v1
Decoding Ornaments: The Case of Marc-Michel Rey’s Database Sayan Kumar Chaki,Fabienne Vial-Bonacci,Thomas Gautrais,Vincent Ventresque,Amaury Habrardet al. Workshop on Methods for Micro- and Mesotypography, Johannes Gutenberg-Universität Mainz, Sep 2025, Wolfenbüttel, Germany Communication dans un congrès hal-05562838v1
A Bregman Proximal Viewpoint on Neural Operators Abdel-Rahim Mezidi,Jordan Patracone,Saverio Salzo,Amaury Habrard,Massimiliano Pontilet al. International Conference on Machine Learning, Jul 2025, Vancouver, Canada Communication dans un congrès hal-04584456v3
Advanced Traffic Engineering in WAN Using Graph Attention Networks Sami Marouani,Kamal Singh,Baptiste Jeudy,Abbas Bradai,Amaury Habrard The 20th International Conference on Wireless and Mobile Computing, Networking and Communications, Wimob 2024, Oct 2024, Paris, France Communication dans un congrès hal-04698713v1
Generative shape deformation with optimal transport using learned transformations Jorge Azorin-Lopez,Marc Sebban,Nahuel Garcia-d'Urso,Amaury Habrard,Andres Fuster-Guillo International Joint Conference on Neural Networks (IJCNN), Jun 2024, YOKOHAMA, Japan Communication dans un congrès hal-04628534v1
A PAC-Bayes Analysis of Adversarial Robustness Paul Viallard,Guillaume Vidot,Amaury Habrard,Emilie Morvant Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), NIPS: Neural Information Processing Systems Foundation, Dec 2021, Virtual-only Conference, Australia. 1105, pp. 14421 - 14433, ⟨10.5555/3540261.3541366⟩ Communication dans un congrès hal-03145332v2
Historical benchmark Dataset for multiple computer vision tasks: Discuss limitations of different Machine Learning techniques Sayan Kumar Chaki,Fabienne Vial-Bonacci,Thomas Gautrais,Vincent Ventresque,Amaury Habrardet al. 2024 Intermediality and Computational Humanities Hackathon, University of Vienna, Nov 2024, Vienna, Austria Communication dans un congrès hal-05562771v1
Deciphering the complexity behind laser-induced selforganized nanopatterns Jean-Philippe Colombier,Eduardo Brandao,Anthony Nakhoul,Fayad Ali Banna,Rémi Emonetet al. 17th International Conference on Laser Ablation (COLA 2024), Sep 2024, Hersonissos, Greece Communication dans un congrès ujm-04881596v1
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures Paul Viallard,Rémi Emonet,Amaury Habrard,Emilie Morvant,Valentina Zantedeschi AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valencia, Spain Communication dans un congrès hal-04473777v1
A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint Jordan Patracone,Paul Viallard,Emilie Morvant,Gilles Gasso,Amaury Habrardet al. ECML PKDD 2024 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. pp.1-27, ⟨10.1007/978-3-031-70359-1_17⟩ Communication dans un congrès hal-03615461v3
Length Independent PAC-Bayes Bounds for Simple RNNs Volodimir Mitarchuk,Clara Lacroce,Rémi Eyraud,Rémi Emonet,Amaury Habrardet al. AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valence, Spain Communication dans un congrès hal-04488664v1
Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNs Benjamin Girault,Rémi Emonet,Amaury Habrard,Jordan Patracone,Marc Sebban ECML PKDD 2024 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania Communication dans un congrès hal-04518335v1
Vignettes discovery in historical ornaments: Rey database and practices, limits and advances Sayan Kumar Chaki,Remi Emonet,Fabienne Vial-Bonacci,Amaury Habrard,Christelle Bahier-Porteet al. Workshop "Computing the Page in Early-Modern Europe", Visual Geometry Group, Mar 2024, Oxford, United Kingdom Communication dans un congrès hal-05562685v1
Towards few-annotation learning for object detection: are transformer-based models more efficient ? Quentin Bouniot,Angélique Loesch,Amaury Habrard,Romaric Audigier WACV2023 - 2023 IEEE-CVF Winter Conference on Applications of Computer Vision, Jan 2023, Waikoloa, HI, United States. pp.75-84, ⟨10.1109/WACV56688.2023.00016⟩ Communication dans un congrès cea-04044305v1
Proposal-contrastive pretraining for object detection from fewer data Quentin Bouniot,Romaric Audigier,Angélique Loesch,Amaury Habrard ICLR 2023 - The Eleventh International Conference on Learning Representations, May 2023, Kigali, Rwanda. https://openreview.net/forum?id=gm0VZ-h-hPy Communication dans un congrès cea-04041965v1
Is My Neural Net Driven by the MDL Principle? Eduardo Brandao,Stefan Duffner,Rémi Emonet,Amaury Habrard,François Jacquenetet al. 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
Stochasticity versus determinism in LIPSS formation Jean-Philippe Colombier,Eduardo Brandao,Anthony Nakhoul,Rémi Emonet,Florence Garrelieet al. 10th International Workshop LIPSS, Sep 2022, Orléans, France Communication dans un congrès ujm-03823762v1
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound Valentina Zantedeschi,Paul Viallard,Emilie Morvant,Rémi Emonet,Amaury Habrardet al. CAp 2022, Jul 2022, Vannes, France Communication dans un congrès hal-03703804v1
A Simple Way to Learn Metrics Between Attributed Graphs Yacouba Kaloga,Pierre. Borgnat,Amaury Habrard Proceedings of the First Learning on Graphs Conference (LoG 2022),, Dec 2022, Virtual Event (Republic of Korea), France Communication dans un congrès hal-04227049v1
optimized laser induced colors and image multiplexing on plasmonic quasi-random metasurfaces using deep learning Hongfeng Ma,Nicolas Dalloz,Amaury Habrard,Marc Sebban,Mathieu Hébertet al. 12th international conference on metamaterials, Jul 2022, torremolinos, Spain Communication dans un congrès ujm-03833360v1
Intérêt des bornes désintégrées pour la généralisation avec des mesures de complexité Paul Viallard,Rémi Emonet,Pascal Germain,Amaury Habrard,Emilie Morvantet al. CAp 2022, Jul 2022, Vannes, France Communication dans un congrès hal-03703811v1
Improving few-shot learning through multi-task representation learning theory Quentin Bouniot,Ievgen Redko,Romaric Audigier,Angélique Loesch,Amaury Habrard 17th European Conference on Computer Vision – ECCV 2022, Oct 2022, Tel Aviv, Israel. pp.435-452, ⟨10.1007/978-3-031-20044-1_25⟩ Communication dans un congrès cea-04041943v1
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound Paul Viallard,Pascal Germain,Amaury Habrard,Emilie Morvant ECML PKDD 2021, Sep 2021, Bilbao, Spain. ⟨10.1007/978-3-030-86520-7_11⟩ Communication dans un congrès hal-03208948v2
Multiview Variational Graph Autoencoders for Canonical Correlation Analysis Yacouba Kaloga,Pierre Borgnat,Sundeep Prabhakar Chepuri,Patrice Abry,Amaury Habrard ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada. pp.5320-5324, ⟨10.1109/ICASSP39728.2021.9414466⟩ Communication dans un congrès hal-03435998v1
Landmark-based Ensemble Learning with Random Fourier Features and Gradient Boosting Léo Gautheron,Pascal Germain,Amaury Habrard,Guillaume Metzler,Emilie Morvantet al. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium. ⟨10.1007/978-3-030-67664-3_9⟩ Communication dans un congrès hal-02900044v1
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound Valentina Zantedeschi,Paul Viallard,Emilie Morvant,Rémi Emonet,Amaury Habrardet al. NeurIPS, 2021, Online, France. ⟨10.5555/3540261.3540296⟩ Communication dans un congrès hal-03278470v1
Online Performance Evaluation of Deep Learning Networks for Profiled Side-Channel Analysis Damien Robissout,Gabriel Zaid,Brice Colombier,Lilian Bossuet,Amaury Habrard International Workshop on Constructive Side-Channel Analysis and Secure Design (COSADE), Apr 2020, Lugano ( virtual ), Switzerland. pp.200-218, ⟨10.1007/978-3-030-68773-1_10⟩ Communication dans un congrès hal-02937872v1
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to deal with Imbalanced Data Rémi Viola,Rémi Emonet,Amaury Habrard,Guillaume Metzler,Marc Sebban IJCAI 2020, the 29th International Joint Conference on Artificial Intelligence, Jul 2020, Yokohama, Japan. pp.2155-2161, ⟨10.24963/ijcai.2020/298⟩ Communication dans un congrès hal-02611586v1
Anomaly Detection, Consider your Dataset First, An illustration on Fraud Detection Ayman Alazizi,Amaury Habrard,François Jacquenet,Liyun He-Guelton,Frédéric Obléet al. 31st International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, United States. ⟨10.1109/ICTAI.2019.00188⟩ Communication dans un congrès hal-02331113v1
MLFP: Un algorithme d'apprentissage de métrique pour la classification de données déséquilibrées Rémi Viola,Rémi Emonet,Amaury Habrard,Guillaume Metzler,Marc Sebban Conférence sur l'Apprentissage automatique (CAp 2020), Jun 2020, Vannes, France Communication dans un congrès hal-02868502v1
Apprentissage profond pour les attaques par analyse de canaux auxiliaires des implémentations de fonctions cryptographiques Brice Colombier,Damien Robissout,Gabriel Zaid,Lilian Bossuet,Amaury Habrard Ecole d’hiver Francophone sur les Technologies de Conception des Systèmes embarqués Hétérogènes, FETCH, Feb 2020, Montréal, Canada Communication dans un congrès hal-02937837v1
Putting theory to work: from learning bounds to meta-learning algorithms Quentin Bouniot,Ievgen Redko,Romaric Audigier,Angelique Loesch,Amaury Habrard Workshop Meta-Learn@NeurIPS 2020, Dec 2020, Vancouver (Virtual conference), Canada Communication dans un congrès cea-03251827v1
Metric Learning from Imbalanced Data Léo Gautheron,Emilie Morvant,Amaury Habrard,Marc Sebban International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States. ⟨10.1109/ictai.2019.00131⟩ Communication dans un congrès hal-02276288v1
Dual Sequential Variational Autoencoders for Fraud Detection Ayman Alazizi,Amaury Habrard,François Jacquenet,Liyun He-Guelton,Frédéric Oble 18th International Symposium on Intelligent Data Analysis (IDA), 2020, Konstanz, Germany. pp.14-26, ⟨10.1007/978-3-030-44584-3_2⟩ Communication dans un congrès hal-02900252v1
From Cost-Sensitive Classification to Tight F-measure Bounds Kevin Bascol,Rémi Emonet,Elisa Fromont,Amaury Habrard,Guillaume Metzleret al. AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Okinawa, Japan. pp.1245-1253 Communication dans un congrès hal-02049763v1
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data Rémi Viola,Rémi Emonet,Amaury Habrard,Guillaume Metzler,Sébastien Riouet al. International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States. ⟨10.1109/ICTAI.2019.00042⟩ Communication dans un congrès hal-02318868v1
Improved Deep-Learning Side-Channel Attacks using Normalization layers Damien Robissout,Gabriel Zaid,Brice Colombier,Vincent Grosso,Lilian Bossuetet al. Workshop on Randomness and Arithmetics for Cryptography on Hardware (WRAC’H), Apr 2019, Roscoff, France Communication dans un congrès hal-02937847v1
Near-lossless Binarization of Word Embeddings Julien Tissier,Christophe Gravier,Amaury Habrard 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Jan 2019, Honolulu, HI, United States Communication dans un congrès ujm-02010043v1
Une version corrigée de l’algorithme des plus proches voisins pour l’optimisation de la F-mesure dans un contexte déséquilibré Rémi Viola,Rémi Emonet,Amaury Habrard,Guillaume Metzler,Sébastien Riouet al. Conférence sur l'Apprentissage automatique (CAp 2019), Jul 2019, Toulouse, France Communication dans un congrès hal-02868516v1
Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory Paul Viallard,Rémi Emonet,Pascal Germain,Amaury Habrard,Emilie Morvant Workshop on Machine Learning with guarantees @ NeurIPS 2019, Dec 2019, Vancouver, Canada Communication dans un congrès hal-02335762v1
Differentially Private Optimal Transport: Application to Domain Adaptation Tien-Nam Le,Amaury Habrard,Marc Sebban IJCAI 2019, Aug 2019, Macao, China. pp.2852-2858, ⟨10.24963/ijcai.2019/395⟩ Communication dans un congrès hal-02124877v1
Revisite des &quot;random Fourier features&quot; basée sur l'apprentissage PAC-Bayésien via des points d'intérêts Léo Gautheron,Pascal Germain,Amaury Habrard,Gaël Letarte,Emilie Morvantet al. CAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France Communication dans un congrès hal-02148600v1
Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication. Kevin Bascol,Rémi Emonet,Elisa Fromont,Amaury Habrard,Guillaume Metzleret al. Conférence pour l'Apprentissage Automatique, Jun 2018, Saint-Etienne du Rouvray, France Communication dans un congrès hal-01803183v1
Tree-based Cost-Sensitive Methods for Fraud Detection in Imbalanced Data Guillaume Metzler,Xavier Badiche,Brahim Belkasmi,Elisa Fromont,Amaury Habrardet al. IDA 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
Online Non-Linear Gradient Boosting in Multi-Latent Spaces Jordan Frery,Amaury Habrard,Marc Sebban,Olivier Caelen,Liyun He-Guelton 17th International Symposium on Intelligent Data Analysis (IDA'18), Oct 2018, s-Hertogenbosch, Netherlands Communication dans un congrès hal-01889994v1
Apprentissage de métrique pour la classification supervisée de données déséquilibrées Léo Gautheron,Amaury Habrard,Emilie Morvant,Marc Sebban Conférence sur l'Apprentissage Automatique, Jun 2018, Rouen, France Communication dans un congrès hal-01888672v1
Dict2vec : Learning Word Embeddings using Lexical Dictionaries Julien Tissier,Christophe Gravier,Amaury Habrard Conference on Empirical Methods in Natural Language Processing (EMNLP 2017), Sep 2017, Copenhague, Denmark. pp.254-263 Communication dans un congrès ujm-01613953v1
Apprentissage de sphères maximales d’exclusion avec garanties théoriques Guillaume Metzler,Xavier Badiche,Brahim Belkasmi,Stéphane Canu,Elisa Fromontet al. Conférence sur l'Apprentissage Automatique, Jun 2017, Grenoble, France Communication dans un congrès hal-01581550v1
Efficient top rank optimization with gradient boosting for supervised anomaly detection Jordan Frery,Amaury Habrard,Marc Sebban,Olivier Caelen,Liyun He-Guelton European 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
Theoretical Analysis of Domain Adaptation with Optimal Transport Ievgen Redko,Amaury Habrard,Marc Sebban ECML PKDD 2017, Sep 2017, Skopje, Macedonia Communication dans un congrès hal-01613564v1
Joint distribution optimal transportation for domain adaptation Nicolas Courty,Rémi Flamary,Amaury Habrard,Alain Rakotomamonjy NIPS 2017, Dec 2017, Los Angeles, United States Communication dans un congrès hal-01620589v1
A New PAC-Bayesian Perspective on Domain Adaptation Pascal Germain,Amaury Habrard,François Laviolette,Emilie Morvant 33rd International Conference on Machine Learning (ICML 2016), Jun 2016, New York, NY, United States Communication dans un congrès hal-01307045v1
Bornes en Généralisation à Convergence Rapide pour le Transfert d'Hypothèses en Apprentissage de Métriques Michaël Perrot,Amaury Habrard Conférence francophone sur l'Apprentissage Automatique, Jul 2016, Marseille, France Communication dans un congrès hal-01382217v1
Mapping Estimation for Discrete Optimal Transport Michaël Perrot,Nicolas Courty,Rémi Flamary,Amaury Habrard Neural Information Processing System, Dec 2016, Barcelone, Spain Communication dans un congrès hal-01376970v1
Algorithmic Robustness for Semi-Supervised (ε, γ, τ )-Good Metric Learning Nicolae Irina,Marc Sebban,Amaury Habrard,Eric Gaussier,Massih-Reza Amini International Conference on Neural Information Processing ICONIP, Nov 2015, Istanbul, Turkey. pp.10 Communication dans un congrès hal-01223411v1
A New PAC-Bayesian View of Domain Adaptation Pascal Germain,François Laviolette,Amaury Habrard,Emilie Morvant NIPS 2015 Workshop on Transfer and Multi-Task Learning: Trends and New Perspectives, Dec 2015, Montréal, Canada Communication dans un congrès hal-01223164v1
A Theoretical Analysis of Metric Hypothesis Transfer Learning Michaël Perrot,Amaury Habrard International Conference on Machine Learning, Jul 2015, Lille, France Communication dans un congrès hal-01175610v1
Regressive Virtual Metric Learning Michaël Perrot,Amaury Habrard Neural Information Processing Systems, Dec 2015, Montréal, Canada Communication dans un congrès hal-01220665v1
Joint Semi-supervised Similarity Learning for Linear Classification Nicolae Irina,Gaussier Eric,Amaury Habrard,Marc Sebban ECML-PKDD 2015, Sep 2015, Porto, Portugal. ⟨10.1007/978-3-319-23528-837⟩ Communication dans un congrès hal-01204642v1
Majority Vote of Diverse Classifiers for Late Fusion Emilie Morvant,Amaury Habrard,Stéphane Ayache IAPR Joint International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recignition, Aug 2014, Joensuu, Finland. pp.20 Communication dans un congrès hal-00985839v2
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning Francois Denis,Mattias Gybels,Amaury Habrard The International Conference on Machine Learning (ICML), Jun 2014, China. pp.JMLR: W&CP volume 32 Communication dans un congrès hal-01009395v1
An Improvement to the Domain Adaptation Bound in a PAC-Bayesian context Pascal Germain,Amaury Habrard,François Laviolette,Emilie Morvant NIPS 2014 Workshop on Transfer and Multi-task learning: Theory Meets Practice, Dec 2014, Montréal, Canada Communication dans un congrès hal-01093565v2
Modeling Perceptual Color Differences by Local Metric Learning Michaël Perrot,Amaury Habrard,Damien Muselet,Marc Sebban European Conference on Computer Vision, Sep 2014, Zurich, Switzerland Communication dans un congrès hal-01009610v1
Modélisation de Distances Couleur Uniformes par Apprentissage de Métriques Locales Michaël Perrot,Amaury Habrard,Damien Muselet,Marc Sebban CAp'2014 : Conférence d'Apprentissage Automatique, Jul 2014, Saint-Étienne, France Communication dans un congrès hal-01016472v1
Some improvements of the spectral learning approach for probabilistic grammatical inference Mattias Gybels,Francois Denis,Amaury Habrard Proceedings of the 12th International Conference on Grammatical Inference (ICGI), Sep 2014, Kyoto, Japan. pp.64-78 Communication dans un congrès hal-01075979v1
Une analyse PAC-Bayésienne de l'adaptation de domaine et sa spécialisation aux classifieurs linéaires Pascal Germain,Amaury Habrard,François Laviolette,Emilie Morvant Conférence sur l'apprentissage automatique, Jul 2013, Villeneuve d'Ascq, France. pp.3 Communication dans un congrès hal-00850242v1
Vote de majorité a priori contraint pour la classification binaire : spécification au cas des plus proches voisins Aurélien Bellet,Amaury Habrard,Emilie Morvant,Marc Sebban Conférence sur l'Apprentissage Automatique (CAp), Jul 2013, Lille, France Communication dans un congrès hal-00850241v1
Unsupervised Visual Domain Adaptation Using Subspace Alignment Basura Fernando,Amaury Habrard,Marc Sebban,Tinne Tuytelaars ICCV 2013, Dec 2013, Sydney, Australia. pp.2960-2967 Communication dans un congrès hal-00869417v1
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers Pascal Germain,Amaury Habrard,François Laviolette,Emilie Morvant International Conference on Machine Learning 2013, Jun 2013, Atlanta, United States. pp.738-746 Communication dans un congrès hal-00822685v1
Utilisation de matrices de Hankel non bornées pour l'apprentissage spectral de langages stochastiques Mattias Gybels,François Denis,Amaury Habrard Conférence d'Apprentissage, 2013, France Communication dans un congrès ujm-00870081v1
Boosting for Unsupervised Domain Adaptation Amaury Habrard,Jean-Philippe Peyrache,Marc Sebban ECML PKDD 2013, Sep 2013, Prague, Czech Republic. pp.433-448 Communication dans un congrès hal-00869394v1
Handwritten Digit Recognition using Edit Distance-Based KNN Marc Bernard,Elisa Fromont,Amaury Habrard,Marc Sebban Teaching Machine Learning Workshop, Jun 2012, Edinburgh, Scotland, United Kingdom Communication dans un congrès hal-00714509v1
Étude de la généralisation de DASF à l'adaptation de domaine semi-supervisée Emilie Morvant,Amaury Habrard,Stéphane Ayache Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. pp.111-126 Communication dans un congrès hal-00685524v1
Apprentissage de bonnes similarités pour la classification linéaire parcimonieuse Aurélien Bellet,Amaury Habrard,Marc Sebban Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, May 2012, Nancy, France. 16 p Communication dans un congrès hal-00690242v1
PAC-Bayesian Learning and Domain Adaptation Pascal Germain,Amaury Habrard,François Laviolette,Emilie Morvant Multi-Trade-offs in Machine Learning, NIPS 2012 Workshop, Dec 2012, Lake Tahoe, United States Communication dans un congrès hal-00749366v1
Speeding Up Syntactic Learning Using Contextual Information Leonor Becerra-Bonache,Elisa Fromont,Amaury Habrard,Michael Perrot,Marc Sebban International Conference on Grammatical Inference, Sep 2012, United States. pp.49-53 Communication dans un congrès hal-00717809v1
Un Cadre Formel de Boosting pour l'Adaptation de Domaine Amaury Habrard,Jean-Philippe Peyrache,Marc Sebban Conférence Francophone sur l'Apprentissage Automatique - CAp 2012, Laurent Bougrain, May 2012, Nancy, France. 16 p Communication dans un congrès hal-00745487v1
Similarity Learning for Provably Accurate Sparse Linear Classification Aurélien Bellet,Amaury Habrard,Marc Sebban International Conference on Machine Learning, Jun 2012, United Kingdom Communication dans un congrès hal-00708401v1
VideoSense at TRECVID 2011 : Semantic Indexing from Light Similarity Functions-based Domain Adaptation with Stacking Emilie Morvant,Stéphane Ayache,Amaury Habrard,Miriam Redi,Claudiu Tanaseet al. TRECVID 2011 - TREC Video Retrieval Evaluation workshop, Nov 2011, Gaithersburg, MD, United States. 6p Communication dans un congrès hal-00685530v1
Sparse Domain Adaptation in Projection Spaces based on Good Similarity Functions Emilie Morvant,Amaury Habrard,Stéphane Ayache IEEE International Conference on Data Mining series (ICDM), Dec 2011, Vancouver, Canada. pp.457-466 Communication dans un congrès hal-00629207v1
Adaptation de domaine parcimonieuse par pondération de bonnes fonctions de similarité Emilie Morvant,Stéphane Ayache,Amaury Habrard Conférence Francophone d'Apprentissage (CAp), May 2011, Chambéry, France. pp.295-310 Communication dans un congrès hal-00630300v1
Sparse Domain Adaptation in a Good Similarity-Based Projection Space Emilie Morvant,Amaury Habrard,Stéphane Ayache Workshop at NIPS 2011: Domain Adaptation Workshop: Theory and Application, Dec 2011, Grenade, Spain Communication dans un congrès hal-00654227v1
On the Usefulness of Similarity Based Projection Spaces for Transfer Learning Emilie Morvant,Amaury Habrard,Stéphane Ayache First International Workshop on Similarity-Based Pattern Recognition, Sep 2011, Venise, Italy. pp.1-16 Communication dans un congrès hal-00628991v1
Learning Good Edit Similarities with Generalization Guarantees Aurélien Bellet,Amaury Habrard,Marc Sebban European Conference on Machine Learning, Sep 2011, Athens, Greece. pp.188-203 Communication dans un congrès hal-00608631v1
Domain Adaptation with Good Edit Similarities: a Sparse Way to deal with Scaling and Rotation Problems in Image Classification Amaury Habrard,Jean-Philippe Peyrache,Marc Sebban ICTAI 2011, Nov 2011, United States Communication dans un congrès hal-00618757v1
An Experimental Study on Learning with Good Edit Similarity Functions Aurélien Bellet,Amaury Habrard,Marc Sebban ICTAI 2011, Nov 2011, United States Communication dans un congrès hal-00618706v1
A Spectral Approach for Probabilistic Grammatical Inference on Trees Raphaël Bailly,Amaury Habrard,Francois Denis 21st International Conference on Algorithmic Learning Theory (ALT 2010), Oct 2010, Australia. pp.74-88 Communication dans un congrès hal-00607096v1
Learning Constrained Edit State Machines Laurent Boyer,Olivier Gandrillon,Amaury Habrard,Mathilde Pellerin,Marc Sebban 21st IEEE International Conference on Tools with Artificial Intelligence, Nov 2009, United States. pp.734-741 Communication dans un congrès hal-00485560v1
A Polynomial Algorithm for the Inference of Context Free Languages Alexander Clark,Rémi Eyraud,Amaury Habrard 9th International Colloquium on Grammatical Inference - ICGI 2008, Sep 2008, St Malo, France. p.29-42 Communication dans un congrès hal-00348673v1
SEDiL: Software for Edit Distance Learning Laurent Boyer,Yann Esposito,Amaury Habrard,Jose Oncina,Marc Sebban European Conference on Machine Learning (ECML 2008), Sep 2008, Belgium. pp.672-677 Communication dans un congrès hal-00295148v1
Relevant Representations for the Inference of Rational Stochastic Tree Languages François Denis,Edouard Gilbert,Amaury Habrard,Faïssal Ouardi,Marc Tommasi International Colloquium on Grammatical Inference, 2008, St Malo, France. pp.57-70 Communication dans un congrès hal-00293511v3
Learning String Edit Similarities using Constrained Finite State Machines Laurent Boyer,Amaury Habrard,Fabrice Muhlenbach,Marc Sebban CAp'08, May 2008, Porquerolles, France. pp.37-52 Communication dans un congrès hal-00369444v1
Melody Recognition with Learned Edit Distances Amaury Habrard,Jose-Manuel Inesta,David Rizo,Marc Sebban Structural, 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
Learning rational stochastic tree languages Francois Denis,Amaury Habrard Proceedings of the 18th International Conference on Algorithmic Learning Theory (ALT'07), 2007, Japan. p.242-256 Communication dans un congrès hal-00192401v2
On Probability Distributions for Trees: Representations, Inference and Learning François Denis,Amaury Habrard,Rémi Gilleron,Marc Tommasi,Édouard Gilbert NIPS Workshop on Representations and Inference on Probability Distributions, Dec 2007, Whistler, Canada Communication dans un congrès inria-00294636v1
Learning Metrics between Tree Structured Data: Application to Image Recognition Laurent Boyer,Amaury Habrard,Marc Sebban 18th European Conference on Machine Learning (ECML), Sep 2007, Warsaw, Poland. pp.54-66 Communication dans un congrès hal-00165954v1
Learning Multipicity Tree Automata Amaury Habrard,Jose Oncina ICGI 2006, 2006, TOkyo, Japan. p.268-280 Communication dans un congrès hal-00192410v1
Using Pseudo-Stochastic Rational Languages in Probabilistic Grammatical Inference Amaury Habrard,Francois Denis,Yann Esposito 8th International Colloquium on Grammatical Inference (ICGI'06), 2006, Japan. p.112-124 Communication dans un congrès hal-00085176v2
Learning Stochastic Tree Edit Distance Marc Bernard,Amaury Habrard,Marc Sebban 17th European Conference on Machine Learning, Sep 2006, Berlin, Germany. pp.42-53 Communication dans un congrès ujm-00109696v1
Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms Amaury Habrard,Marc Bernard,Marc Sebban 18th International Florida Artificial Intelligence Research Society conference, May 2005, Miramar Beach, Florida, United States. pp.493-498 Communication dans un congrès ujm-00378062v1

Ouvrages (3)

Advances in Domain Adaptation Theory Ievgen Redko,Emilie Morvant,Amaury Habrard,Marc Sebban,Younès Bennani Elsevier; ISTE, 2019, 9781785482366 Ouvrages hal-02286281v1
Metric Learning Aurélien Bellet,Amaury Habrard,Marc Sebban Morgan & 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
Proceddings of 16ème Conférence d’Apprentissage CAp’2014 Marc Sebban,Ludovic Denoyer,Amaury Habrard 2014 Ouvrages hal-01357561v1

Chapitre d'ouvrage (1)

Unsupervised Domain Adaptation Based on Subspace Alignment Basura Fernando,Rahaf Aljundi,Rémi Emonet,Amaury Habrard,Marc Sebbanet al. Domain Adaptation in Computer Vision Applications. Advances in Computer Vision and Pattern Recognition, Springer International Publishing, pp.81-94, 2017, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-319-58347-1_4⟩ Chapitre d'ouvrage hal-01613051v1

Pré-publication, Document de travail (4)

Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting Léo Gautheron,Pascal Germain,Amaury Habrard,Emilie Morvant,Marc Sebbanet al. 2019 Pré-publication, Document de travail hal-02148618v1
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning François Denis,Mattias Gybels,Amaury Habrard 2013 Pré-publication, Document de travail hal-00957470v1
Flexible Domain Adaptation for Multimedia Indexing Emilie Morvant,Amaury Habrard,Stéphane Ayache 2011 Pré-publication, Document de travail hal-00634881v1
Learning rational stochastic languages François Denis,Yann Esposito,Amaury Habrard 2006 Pré-publication, Document de travail hal-00019161v1

Rapport (5)

Combining Users Feedback as a Source of Knowledge for Feature Selection in Regression Loujain Liekah,Emilie Morvant,Marta Soare,Amaury Habrard Hubert Curien Laboratory, UMR 5516 CNRS. 2018 Rapport hal-04277019v1
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers Pascal Germain,Amaury Habrard,François Laviolette,Emilie Morvant [Research Report] Université Jean Monnet, Saint-Étienne (42); Département d'Informatique et de Génie Logiciel, Université Laval (Québec); ENS Paris; IST Austria. 2016 Rapport (rapport de recherche) hal-01134246v3
A New PAC-Bayesian Perspective on Domain Adaptation Pascal Germain,Amaury Habrard,François Laviolette,Emilie Morvant [Research Report] Univ Lyon, UJM-Saint-Etienne, CNRS, Laboratoire Hubert Curien UMR 5516, F-42023 Saint-Etienne, France; Département d'informatique et de génie logiciel, Université Laval (Québec); INRIA - Sierra Project-Team, Ecole Normale Sup´erieure, Paris, France. 2015 Rapport (rapport de recherche) hal-01163722v3
A Survey on Metric Learning for Feature Vectors and Structured Data Aurélien Bellet,Amaury Habrard,Marc Sebban [Research Report] Laboratoire Hubert Curien UMR 5516. 2013 Rapport (rapport de recherche) hal-01666935v1
PAC-Bayesian Majority Vote for Late Classifier Fusion Emilie Morvant,Amaury Habrard,Stéphane Ayache [Research Report] LIF Marseille; LaHC Saint-Etienne. 2012 Rapport (rapport de recherche) hal-00714483v1