Antoine Ledent

About Antoine Ledent

Antoine Ledent, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Technische Universität Kaiserslautern, specializes in the field of Machine Learning, Statistical Learning Theory, Matrix Completion, Stochastic Analysis.

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

Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks

Context-Aware REpresentation: Jointly Learning Item Features and Selection From Triplets

Recommendations with minimum exposure guarantees: A post-processing framework

Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks

Uncertainty-adjusted recommendation via matrix factorization with weighted losses

Generalization bounds for inductive matrix completion in low-noise settings

Fine-grained generalization analysis of vector-valued learning

Fine-grained analysis of structured output prediction

Antoine Ledent Information

University

Position

___

Citations(all)

115

Citations(since 2020)

115

Cited By

8

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Antoine Ledent Skills & Research Interests

Machine Learning

Statistical Learning Theory

Matrix Completion

Stochastic Analysis

Top articles of Antoine Ledent

Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks

2024/4/18

Context-Aware REpresentation: Jointly Learning Item Features and Selection From Triplets

IEEE Transactions on Neural Networks and Learning Systems

2024/4/10

Antoine Ledent
Antoine Ledent

H-Index: 2

Recommendations with minimum exposure guarantees: A post-processing framework

Expert Systems with Applications

2024/2/1

Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks

2023/9/14

Antoine Ledent
Antoine Ledent

H-Index: 2

Uncertainty-adjusted recommendation via matrix factorization with weighted losses

IEEE Transactions on Neural Networks and Learning Systems

2023/7/11

Antoine Ledent
Antoine Ledent

H-Index: 2

Marius Kloft
Marius Kloft

H-Index: 24

Generalization bounds for inductive matrix completion in low-noise settings

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Fine-grained generalization analysis of vector-valued learning

2021/4/29

Fine-grained analysis of structured output prediction

2021

Fine-grained Generalisation Analysis of Inductive Matrix Completion

2021

Learning Interpretable Concept Groups in CNNs

2021

Beyond smoothness: Incorporating low-rank analysis into nonparametric density estimation

Advances in Neural Information Processing Systems

2021/12/6

Robert A Vandermeulen
Robert A Vandermeulen

H-Index: 9

Antoine Ledent
Antoine Ledent

H-Index: 2

Burst-induced multi-armed bandit for learning recommendation

2021/9/13

Antoine Ledent
Antoine Ledent

H-Index: 2

Marius Kloft
Marius Kloft

H-Index: 24

Orthogonal inductive matrix completion

IEEE Transactions on Neural Networks and Learning Systems

2021/9/2

Antoine Ledent
Antoine Ledent

H-Index: 2

Marius Kloft
Marius Kloft

H-Index: 24

An empirical study of the discreteness prior in low-rank matrix completion

2021/7/8

Model uncertainty guides visual object tracking

2021/5/18

Norm-based generalisation bounds for deep multi-class convolutional neural networks

Proceedings of the AAAI Conference on Artificial Intelligence

2021/5/18

Sharper generalization bounds for pairwise learning

Advances in Neural Information Processing Systems

2020

See List of Professors in Antoine Ledent University(Technische Universität Kaiserslautern)

Co-Authors

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