Antoine Ledent

Post Doc


Antoine Ledent is a postdoctoral researcher at the department of computer science at TU Kaiserslautern in Prof. Dr. Marius Kloft's research group. He holds a Bachelor's and a Masters' degrees in mathematics from Clare College, University of Cambridge. Previously, he worked on low dimensional projections of high dimensional stochastic differential equations at the university of Luxembourg, where he obtained his PhD in 2017. He has served as a reviewer/PC member for AiStats, Neural Networks, NeurIPS, ECML, ICML, ICLR and AAAI. He was an "expert reviewer" for ICML 2021 and was in the top 10 percent of reviewers at NeurIPS 2020 and ICML 2021.

Research interests

Antoine Ledent is primarily working on statistical learning theory applied to neural networks, as well as matrix completion problems. Other interests include in stability analysis, multi-view problems, and interpretability.

Appointments and scientific matters

Curriculum Vitae


PhD in Stochastic analysis from the University of Luxembourg
Bachelors and Masters in Mathematics (BA+MMath) from the University of Cambridge (Clare College)

Professional Experience

since 2018
Postdoctoral Researcher at TU Kaiserslautern, computer science department
PhD Student under the supervision of Anton Thalmaier at the University of Luxembourg, mathematics department

Activities and honours

Top 10 percent of reviewers at NeurIPS 2020 and ICML 2021. Expert reviewer for ICML 2021. Top 25 percent of reviewers at AAAI 2021. Reviewer for AiStats, Neural Networks, NeurIPS (2020 and 2021), ICML (2021), ICLR (2022), ECML and AAAI (2020-2022)
First place (and only first prize) at the Belgian Mathematical Olympiad (years 5-6) + special prize as a 5th year student

Key publications and preprints

(* denotes equal contribution)