Planting trees in graphs, and finding them back. - Laurent Massoulié; Ludovic Stephan; Don Towsley (COLT, 2019)

Robustness of Spectral Methods for Community Detection. - Ludovic Stephan; Laurent Massoulié (COLT, 2019)

A simpler spectral approach for clustering in directed networks. - Simon Coste; Ludovic Stephan (CoRR, 2021)

Sparse random hypergraphs: Non-backtracking spectra and community detection. - Ludovic Stephan; Yizhe Zhu (FOCS, 2022)

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks. - Rodrigo Veiga 001; Ludovic Stephan; Bruno Loureiro; Florent Krzakala; Lenka Zdeborová (NeurIPS, 2022)

Gaussian Universality of Linear Classifiers with Random Labels in High-Dimension. - Federica Gerace; Florent Krzakala; Bruno Loureiro; Ludovic Stephan; Lenka Zdeborová (CoRR, 2022)

From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. - Luca Arnaboldi 002; Ludovic Stephan; Florent Krzakala; Bruno Loureiro (COLT, 2023)

Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation. - Luca Pesce; Florent Krzakala; Bruno Loureiro; Ludovic Stephan (ICML, 2023)

Universality laws for Gaussian mixtures in generalized linear models. - Yatin Dandi; Ludovic Stephan; Florent Krzakala; Bruno Loureiro; Lenka Zdeborová (NeurIPS, 2023)

Learning Two-Layer Neural Networks, One (Giant) Step at a Time. - Yatin Dandi; Florent Krzakala; Bruno Loureiro; Luca Pesce; Ludovic Stephan (CoRR, 2023)

Escaping mediocrity: how two-layer networks learn hard single-index models with SGD. - Luca Arnaboldi 002; Florent Krzakala; Bruno Loureiro; Ludovic Stephan (CoRR, 2023)

A non-backtracking method for long matrix and tensor completion. - Ludovic Stephan; Yizhe Zhu (COLT, 2024)

Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs. - Luca Arnaboldi 002; Yatin Dandi; Florent Krzakala; Bruno Loureiro; Luca Pesce; Ludovic Stephan (ICML, 2024)

Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions. - Luca Arnaboldi 002; Yatin Dandi; Florent Krzakala; Luca Pesce; Ludovic Stephan (CoRR, 2024)

Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs. - Luca Arnaboldi 002; Yatin Dandi; Florent Krzakala; Bruno Loureiro; Luca Pesce; Ludovic Stephan (CoRR, 2024)

Community detection with the Bethe-Hessian. - Ludovic Stephan; Yizhe Zhu (COLT, 2025)

Asymptotics of SGD in Sequence-Single Index Models and Single-Layer Attention Networks. - Luca Arnaboldi 002; Bruno Loureiro; Ludovic Stephan; Florent Krzakala; Lenka Zdeborová (CoRR, 2025)