Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks. - Eszter Székely; Lorenzo Bardone; Federica Gerace; Sebastian Goldt (CoRR, 2023)

Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks. - Lorenzo Bardone; Sebastian Goldt (ICML, 2024)

Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks. - Eszter Székely; Lorenzo Bardone; Federica Gerace; Sebastian Goldt (NeurIPS, 2024)

Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions. - Fabiola Ricci; Lorenzo Bardone; Sebastian Goldt (CoRR, 2025)