Improved Generalisation Bounds for Deep Learning Through L∞ Covering Numbers. - Antoine Ledent; Yunwen Lei; Marius Kloft (CoRR, 2019)

Sharper Generalization Bounds for Pairwise Learning. - Yunwen Lei; Antoine Ledent; Marius Kloft (NeurIPS, 2020)

An Empirical Study of the Discreteness Prior in Low-Rank Matrix Completion. - Rodrigo Alves; Antoine Ledent; Renato Assunção; Marius Kloft (Preregister@NeurIPS, 2020)

Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks. - Antoine Ledent; Waleed Mustafa; Yunwen Lei; Marius Kloft (AAAI, 2021)

Fine-grained Generalization Analysis of Vector-Valued Learning. - Liang Wu 015; Antoine Ledent; Yunwen Lei; Marius Kloft (AAAI, 2021)

Model Uncertainty Guides Visual Object Tracking. - Lijun Zhou; Antoine Ledent; Qintao Hu; Ting Liu; Jianlin Zhang 001; Marius Kloft (AAAI, 2021)

Fine-grained Generalization Analysis of Structured Output Prediction. - Waleed Mustafa; Yunwen Lei; Antoine Ledent; Marius Kloft (IJCAI, 2021)

Learning Interpretable Concept Groups in CNNs. - Saurabh Varshneya; Antoine Ledent; Robert A. Vandermeulen; Yunwen Lei; Matthias Enders; Damian Borth; Marius Kloft (IJCAI, 2021)

Fine-grained Generalization Analysis of Inductive Matrix Completion. - Antoine Ledent; Rodrigo Alves; Yunwen Lei; Marius Kloft (NeurIPS, 2021)

Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation. - Robert A. Vandermeulen; Antoine Ledent (NeurIPS, 2021)

Burst-induced Multi-Armed Bandit for Learning Recommendation. - Rodrigo Alves; Antoine Ledent; Marius Kloft (RecSys, 2021)

Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. - Antoine Ledent; Rodrigo Alves; Yunwen Lei; Yann Guermeur; Marius Kloft (AAAI, 2023)

Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks. - Petr Kasalický; Antoine Ledent; Rodrigo Alves (RecSys, 2023)

Orthogonal Inductive Matrix Completion. - Antoine Ledent; Rodrigo Alves; Marius Kloft (IEEE Trans. Neural Networks Learn. Syst., 2023)

Non-vacuous Generalization Bounds for Adversarial Risk in Stochastic Neural Networks. - Waleed Mustafa; Philipp Liznerski; Antoine Ledent; Dennis Wagner; Puyu Wang; Marius Kloft (AISTATS, 2024)

Generalization Analysis of Deep Non-linear Matrix Completion. - Antoine Ledent; Rodrigo Alves (ICML, 2024)

Interpretable Tensor Fusion. - Saurabh Varshneya; Antoine Ledent; Philipp Liznerski; Andriy Balinskyy; Purvanshi Mehta; Waleed Mustafa; Marius Kloft (IJCAI, 2024)

Unraveling the Dynamics of Stable and Curious Audiences in Web Systems. - Rodrigo Alves; Antoine Ledent; Renato Assunção; Pedro O. S. Vaz de Melo; Marius Kloft (WWW, 2024)

Recommendations with minimum exposure guarantees: A post-processing framework. - Ramon Lopes; Rodrigo Alves; Antoine Ledent; Rodrygo L. T. Santos; Marius Kloft (Expert Syst. Appl., 2024)

Uncertainty-Adjusted Recommendation via Matrix Factorization With Weighted Losses. - Rodrigo Alves; Antoine Ledent; Marius Kloft (IEEE Trans. Neural Networks Learn. Syst., 2024)

Generalization Analysis for Deep Contrastive Representation Learning. - Nong Minh Hieu; Antoine Ledent; Yunwen Lei; Cheng Yeaw Ku (AAAI, 2025)

Explainable Neural Networks with Guarantee: A Sparse Estimation Approach. - Antoine Ledent; Peng Liu 052 (AAAI, 2025)

Explainable Neural Networks with Guarantees: A Sparse Estimation Approach. - Antoine Ledent; Peng Liu (CoRR, 2025)

Context-Aware REpresentation: Jointly Learning Item Features and Selection From Triplets. - Rodrigo Alves; Antoine Ledent (IEEE Trans. Neural Networks Learn. Syst., 2025)

Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings. - Nong Minh Hieu; Antoine Ledent (CoRR, 2025)