Amaury Habrard

148
Documents

Publications

Publications

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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
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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

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
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Learning Complexity to Guide Light-Induced Self-Organized Nanopatterns

Eduardo Brandao , Anthony Nakhoul , Stefan Duffner , Rémi Emonet , Florence Garrelie et 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 Sterl et al.

ACS Nano, 2022, 16 (6), pp.9410-9419. ⟨10.1021/acsnano.2c02235⟩

Article dans une revue ujm-03833058v1
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Learning PDE to Model Self-Organization of Matter

Eduardo Brandao , Jean-Philippe Colombier , Stefan Duffner , Rémi Emonet , Florence Garrelie et al.

Entropy, 2022, 24 (8), ⟨10.3390/e24081096⟩

Article dans une revue ujm-03823722v1
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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

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
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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
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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
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A Nearest Neighbor Algorithm for Imbalanced Classification

Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Sébastien Riou et al.

International Journal on Artificial Intelligence Tools, 2021, 30 (03), pp.2150013. ⟨10.1142/S0218213021500135⟩

Article dans une revue hal-04646114v2

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
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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
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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
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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
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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
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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
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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
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Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees

Guillaume Metzler , Xavier Badiche , Brahim Belkasmi , Elisa Fromont , Amaury Habrard et al.

Pattern Recognition Letters, 2018, 112, pp.310-316. ⟨10.1016/j.patrec.2018.08.016⟩

Article dans une revue hal-01878830v1
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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
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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
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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

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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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A Bregman Proximal Viewpoint on Neural Operators

Abdel-Rahim Mezidi , Jordan Patracone , Saverio Salzo , Amaury Habrard , Massimiliano Pontil et al.

International Conference on Machine Learning, Jul 2025, Vancouver, Canada

Communication dans un congrès hal-04584456v3

Decoding Ornaments: The Case of Marc-Michel Rey’s Database

Sayan Kumar Chaki , Fabienne Vial-Bonacci , Thomas Gautrais , Vincent Ventresque , Amaury Habrard et al.

Workshop on Methods for Micro- and Mesotypography, Johannes Gutenberg-Universität Mainz, Sep 2025, Wolfenbüttel, Germany

Communication dans un congrès hal-05562838v1

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 Habrard et al.

Intermediality and Computational Humanities Hackathon, University of Vienna, Nov 2024, Vienna, Austria

Communication dans un congrès hal-05562771v1
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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
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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
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Deciphering the complexity behind laser-induced selforganized nanopatterns

Jean-Philippe Colombier , Eduardo Brandao , Anthony Nakhoul , Fayad Ali Banna , Rémi Emonet et 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
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A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint

Jordan Patracone , Paul Viallard , Emilie Morvant , Gilles Gasso , Amaury Habrard et 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
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Length Independent PAC-Bayes Bounds for Simple RNNs

Volodimir Mitarchuk , Clara Lacroce , Rémi Eyraud , Rémi Emonet , Amaury Habrard et al.

AISTATS 2024 - 27th International Conference on Artificial Intelligence and Statistics, May 2024, Valence, Spain

Communication dans un congrès hal-04488664v1
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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-Porte et al.

Workshop "Computing the Page in Early-Modern Europe", Visual Geometry Group, Mar 2024, Oxford, United Kingdom

Communication dans un congrès hal-05562685v1
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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
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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
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Is My Neural Net Driven by the MDL Principle?

Eduardo Brandao , Stefan Duffner , Rémi Emonet , Amaury Habrard , François Jacquenet et 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

optimized laser induced colors and image multiplexing on plasmonic quasi-random metasurfaces using deep learning

Hongfeng Ma , Nicolas Dalloz , Amaury Habrard , Marc Sebban , Mathieu Hébert et al.

12th international conference on metamaterials, Jul 2022, torremolinos, Spain

Communication dans un congrès ujm-03833360v1
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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

Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound

Valentina Zantedeschi , Paul Viallard , Emilie Morvant , Rémi Emonet , Amaury Habrard et al.

CAp 2022, Jul 2022, Vannes, France

Communication dans un congrès hal-03703804v1
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Stochasticity versus determinism in LIPSS formation

Jean-Philippe Colombier , Eduardo Brandao , Anthony Nakhoul , Rémi Emonet , Florence Garrelie et al.

10th International Workshop LIPSS, Sep 2022, Orléans, France

Communication dans un congrès ujm-03823762v1

Intérêt des bornes désintégrées pour la généralisation avec des mesures de complexité

Paul Viallard , Rémi Emonet , Pascal Germain , Amaury Habrard , Emilie Morvant et al.

CAp 2022, Jul 2022, Vannes, France

Communication dans un congrès hal-03703811v1
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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
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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
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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
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Landmark-based Ensemble Learning with Random Fourier Features and Gradient Boosting

Léo Gautheron , Pascal Germain , Amaury Habrard , Guillaume Metzler , Emilie Morvant et 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
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Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound

Valentina Zantedeschi , Paul Viallard , Emilie Morvant , Rémi Emonet , Amaury Habrard et al.

NeurIPS, 2021, Online, France. ⟨10.5555/3540261.3540296⟩

Communication dans un congrès hal-03278470v1
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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
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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 Oblé et 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
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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
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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

Improved Deep-Learning Side-Channel Attacks using Normalization layers

Damien Robissout , Gabriel Zaid , Brice Colombier , Vincent Grosso , Lilian Bossuet et al.

Workshop on Randomness and Arithmetics for Cryptography on Hardware (WRAC’H), Apr 2019, Roscoff, France

Communication dans un congrès hal-02937847v1
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From Cost-Sensitive Classification to Tight F-measure Bounds

Kevin Bascol , Rémi Emonet , Elisa Fromont , Amaury Habrard , Guillaume Metzler et 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
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An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data

Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Sébastien Riou et 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
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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
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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 Riou et 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 "random Fourier features" basée sur l'apprentissage PAC-Bayésien via des points d'intérêts

Léo Gautheron , Pascal Germain , Amaury Habrard , Gaël Letarte , Emilie Morvant et 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 Metzler et al.

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 Data

Guillaume Metzler , Xavier Badiche , Brahim Belkasmi , Elisa Fromont , Amaury Habrard et 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
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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
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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
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Apprentissage de sphères maximales d’exclusion avec garanties théoriques

Guillaume Metzler , Xavier Badiche , Brahim Belkasmi , Stéphane Canu , Elisa Fromont et al.

Conférence sur l'Apprentissage Automatique, Jun 2017, Grenoble, France

Communication dans un congrès hal-01581550v1
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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VideoSense at TRECVID 2011 : Semantic Indexing from Light Similarity Functions-based Domain Adaptation with Stacking

Emilie Morvant , Stéphane Ayache , Amaury Habrard , Miriam Redi , Claudiu Tanase et al.

TRECVID 2011 - TREC Video Retrieval Evaluation workshop, Nov 2011, Gaithersburg, MD, United States. 6p

Communication dans un congrès hal-00685530v1
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Learning Multipicity Tree Automata

Amaury Habrard , Jose Oncina

ICGI 2006, 2006, TOkyo, Japan. p.268-280

Communication dans un congrès hal-00192410v1
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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
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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

Unsupervised Domain Adaptation Based on Subspace Alignment

Basura Fernando , Rahaf Aljundi , Rémi Emonet , Amaury Habrard , Marc Sebban et 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
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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
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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
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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
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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
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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