Accéder directement au contenu

Amaury Habrard

133
Documents

Publications

Image document

Learning Complexity to Guide Light-Induced Self-Organized Nanopatterns

Eduardo Brandao , Anthony Nakhoul , Stefan Duffner , R Emonet , Florence Garrelie
Physical Review Letters, 2023, 130, pp.226201. ⟨10.1103/physrevlett.130.226201⟩
Article dans une revue ujm-04157829v1
Image document

A General Framework for the Practical Disintegration of PAC-Bayesian Bounds

Paul Viallard , Pascal Germain , Amaury Habrard , Emilie Morvant
Machine Learning, In press
Article dans une revue hal-03143025v3
Image document

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
Article dans une revue hal-03826066v1
Image document

Learning PDE to Model Self-Organization of Matter

Eduardo Brandao , Jean-Philippe Colombier , Stefan Duffner , Rémi Emonet , Florence Garrelie
Entropy, 2022, 24 (8), ⟨10.3390/e24081096⟩
Article dans une revue ujm-03823722v1

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
ACS Nano, 2022, 16 (6), pp.9410-9419. ⟨10.1021/acsnano.2c02235⟩
Article dans une revue ujm-03833058v1
Image document

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

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-03282650v1

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
Article dans une revue hal-03375056v1

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
Image document

A Nearest Neighbor Algorithm for Imbalanced Classification

Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Sébastien Riou
International Journal on Artificial Intelligence Tools, 2021, 30, ⟨10.1142/s0218213021500135⟩
Article dans une revue ujm-03282293v1
Image document

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
Image document

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
Image document

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
Image document

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

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

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
Image document

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, inPress
Article dans une revue hal-02114975v1
Image document

Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees

Guillaume Metzler , Xavier Badiche , Brahim Belkasmi , Elisa Fromont , Amaury Habrard
Pattern Recognition Letters, 2018, 112, pp.310-316. ⟨10.1016/j.patrec.2018.08.016⟩
Article dans une revue hal-01878830v1
Image document

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
Image document

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
Image document

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
Image document

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
Article dans une revue hal-00869404v1
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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

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
Image document

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
Image document

Is My Neural Net Driven by the MDL Principle?

Eduardo Brandao , Stefan Duffner , Rémi Emonet , Amaury Habrard , François Jacquenet
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
Image document

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
Image document

Stochasticity versus determinism in LIPSS formation

Jean-Philippe Colombier , Eduardo Brandao , Anthony Nakhoul , Rémi Emonet , Florence Garrelie
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
CAp 2022, Jul 2022, Vannes, France
Communication dans un congrès hal-03703811v1
Image document

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
Image document

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
CAp 2022, Jul 2022, Vannes, France
Communication dans un congrès hal-03703804v1

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
12th international conference on metamaterials, Jul 2022, torremolinos, Spain
Communication dans un congrès ujm-03833360v1
Image document

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
Image document

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

Valentina Zantedeschi , Paul Viallard , Emilie Morvant , Rémi Emonet , Amaury Habrard
NeurIPS, 2021, Online, France
Communication dans un congrès hal-03278470v1
Image document

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
Communication dans un congrès hal-03145332v2
Image document

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
Communication dans un congrès hal-03208948v2

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
Image document

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), Oct 2020, Lugano ( virtual ), Switzerland
Communication dans un congrès hal-02937872v1
Image document

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
Image document

Landmark-based Ensemble Learning with Random Fourier Features and Gradient Boosting

Léo Gautheron , Pascal Germain , Amaury Habrard , Guillaume Metzler , Emilie Morvant
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium
Communication dans un congrès hal-02900044v1

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

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
Image document

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
Communication dans un congrès hal-02611586v1

Improved Deep-Learning Side-Channel Attacks using Normalization layers

Damien Robissout , Gabriel Zaid , Brice Colombier , Vincent Grosso , Lilian Bossuet
Workshop on Randomness and Arithmetics for Cryptography on Hardware (WRAC’H), Apr 2019, Roscoff, France
Communication dans un congrès hal-02937847v1
Image document

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
Communication dans un congrès hal-02276288v1

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
Image document

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

Anomaly Detection, Consider your Dataset First, An illustration on Fraud Detection

Ayman Alazizi , Amaury Habrard , François Jacquenet , Liyun He-Guelton , Frédéric Oblé
International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, United States
Communication dans un congrès hal-02331113v1

Differentially Private Optimal Transport: Application to Domain Adaptation

Tien-Nam Le , Amaury Habrard , Marc Sebban
IJCAI 2019, Aug 2019, Macao, China
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
CAp 2019 - Conférence sur l'Apprentissage automatique, Jul 2019, Toulouse, France
Communication dans un congrès hal-02148600v1
Image document

An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data

Rémi Viola , Rémi Emonet , Amaury Habrard , Guillaume Metzler , Sébastien Riou
International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2019, Portland, Oregon, United States
Communication dans un congrès hal-02318868v1
Image document

From Cost-Sensitive Classification to Tight F-measure Bounds

Kevin Bascol , Rémi Emonet , Elisa Fromont , Amaury Habrard , Guillaume Metzler
AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics, Apr 2019, Naha, Okinawa, Japan. pp.1245-1253
Communication dans un congrès hal-02049763v1

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
Image document

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

Un algorithme de pondération de la F-Mesure par pondération des erreurs de classfication.

Kevin Bascol , Rémi Emonet , Elisa Fromont , Amaury Habrard , Guillaume Metzler
Conférence pour l'Apprentissage Automatique, Jun 2018, Saint-Etienne du Rouvray, France
Communication dans un congrès hal-01803183v1
Image document

Tree-based Cost-Sensitive Methods for Fraud Detection in Imbalanced Data

Guillaume Metzler , Xavier Badiche , Brahim Belkasmi , Elisa Fromont , Amaury Habrard
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
Image document

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
Image document

Efficient top rank optimization with gradient boosting for supervised anomaly detection

Jordan Frery , Amaury Habrard , Marc Sebban , Olivier Caelen , Liyun He-Guelton
ECML-PKDD 2017, Sep 2017, Skopje, Macedonia
Communication dans un congrès hal-01613561v1
Image document

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
Image document

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
Image document

Apprentissage de sphères maximales d’exclusion avec garanties théoriques

Guillaume Metzler , Xavier Badiche , Brahim Belkasmi , Stéphane Canu , Elisa Fromont
Conférence sur l'Apprentissage Automatique, Jun 2017, Grenoble, France
Communication dans un congrès hal-01581550v1
Image document

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

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
Image document

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

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

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
Image document

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

Regressive Virtual Metric Learning

Michaël Perrot , Amaury Habrard
Neural Information Processing Systems, Dec 2015, Montréal, Canada
Communication dans un congrès hal-01220665v1

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

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
Image document

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
Image document

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

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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
TRECVID 2011 - TREC Video Retrieval Evaluation workshop, Nov 2011, Gaithersburg, MD, United States. 6p
Communication dans un congrès hal-00685530v1
Image document

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
Image document

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

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
Image document

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

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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 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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

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
Image document

Learning Multipicity Tree Automata

Amaury Habrard , Jose Oncina
ICGI 2006, 2006, TOkyo, Japan. p.268-280
Communication dans un congrès hal-00192410v1
Image document

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
Image document

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
Image document

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, 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
Domain Adaptation in Computer Vision Applications. Advances in Computer Vision and Pattern Recognition, 2017
Chapitre d'ouvrage hal-01613051v1
Image document

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
Image document

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 hal-01134246v3
Image document

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 hal-01163722v3
Image document

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 hal-01666935v1
Image document

PAC-Bayesian Majority Vote for Late Classifier Fusion

Emilie Morvant , Amaury Habrard , Stéphane Ayache
[Research Report] LIF Marseille; LaHC Saint-Etienne. 2012
Rapport hal-00714483v1