Amaury Habrard

About Amaury Habrard

Amaury Habrard, With an exceptional h-index of 31 and a recent h-index of 24 (since 2020), a distinguished researcher at Université Jean Monnet, specializes in the field of machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Length Independent PAC-Bayes Bounds for Simple RNNs

Scoring the predictions: a way to improve profiling side-channel attacks

Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNs

Laser-induced surface organization on the nanoscale guided by machine learning

Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures

A general framework for the practical disintegration of PAC-Bayesian bounds

Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks

Proposal-contrastive pretraining for object detection from fewer data

Amaury Habrard Information

University

Position

Professor of Computer Science (France)

Citations(all)

6693

Citations(since 2020)

4608

Cited By

3500

hIndex(all)

31

hIndex(since 2020)

24

i10Index(all)

61

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Amaury Habrard Skills & Research Interests

machine learning

Top articles of Amaury Habrard

Length Independent PAC-Bayes Bounds for Simple RNNs

2024/4/18

Scoring the predictions: a way to improve profiling side-channel attacks

Journal of Cryptographic Engineering

2024/4/8

Lilian Bossuet
Lilian Bossuet

H-Index: 18

Amaury Habrard
Amaury Habrard

H-Index: 20

Approximation Error of Sobolev Regular Functions with tanh Neural Networks: Theoretical Impact on PINNs

2024/3/23

Amaury Habrard
Amaury Habrard

H-Index: 20

Marc Sebban
Marc Sebban

H-Index: 18

Laser-induced surface organization on the nanoscale guided by machine learning

2024/3/13

Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures

arXiv preprint arXiv:2402.13285

2024/2/19

A general framework for the practical disintegration of PAC-Bayesian bounds

Machine Learning

2023/10/11

Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks

2023/11/26

Marc Sebban
Marc Sebban

H-Index: 18

Amaury Habrard
Amaury Habrard

H-Index: 20

Proposal-contrastive pretraining for object detection from fewer data

arXiv preprint arXiv:2310.16835

2023/10/25

Amaury Habrard
Amaury Habrard

H-Index: 20

Is My Neural Net Driven by the MDL Principle?

2023/9/17

Amaury Habrard
Amaury Habrard

H-Index: 20

Marc Sebban
Marc Sebban

H-Index: 18

Learning complexity to guide light-induced self-organized nanopatterns

Physical Review Letters

2023/5/30

Conditional variational autoencoder based on stochastic attacks

IACR Transactions on Cryptographic Hardware and Embedded Systems

2023/3/6

Lilian Bossuet
Lilian Bossuet

H-Index: 18

Amaury Habrard
Amaury Habrard

H-Index: 20

Towards few-annotation learning for object detection: are transformer-based models more efficient?

2023

Amaury Habrard
Amaury Habrard

H-Index: 20

A simple way to learn metrics between attributed graphs

2022/12/21

Pierre Borgnat
Pierre Borgnat

H-Index: 22

Amaury Habrard
Amaury Habrard

H-Index: 20

Improving few-shot learning through multi-task representation learning theory

2022/10/20

Amaury Habrard
Amaury Habrard

H-Index: 20

Generalization Bounds with Arbitrary Complexity Measures

2022/9/29

Stochasticity versus determinism in LIPSS formation

2022/9/21

MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced data

Pattern Recognition Letters

2022/9/1

Learning PDE to model self-organization of matter

Entropy

2022/8/9

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

2022/7/19

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

2022/7/5

See List of Professors in Amaury Habrard University(Université Jean Monnet)

Co-Authors

academic-engine