Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion. - Alexandru Meterez; Amir Joudaki; Francesco Orabona; Alexander Immer; Gunnar Rätsch; Hadi Daneshmand (ICLR, 2024)

Super Consistency of Neural Network Landscapes and Learning Rate Transfer. - Lorenzo Noci; Alexandru Meterez; Thomas Hofmann 001; Antonio Orvieto (NeurIPS, 2024)

Why do Learning Rates Transfer? Reconciling Optimization and Scaling Limits for Deep Learning. - Lorenzo Noci; Alexandru Meterez; Thomas Hofmann 001; Antonio Orvieto (CoRR, 2024)

The Optimization Landscape of SGD Across the Feature Learning Strength. - Alexander B. Atanasov; Alexandru Meterez; James B. Simon; Cengiz Pehlevan (ICLR, 2025)

Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining. - Rosie Zhao; Alexandru Meterez; Sham M. Kakade; Cengiz Pehlevan; Samy Jelassi; Eran Malach (CoRR, 2025)

A Simplified Analysis of SGD for Linear Regression with Weight Averaging. - Alexandru Meterez; Depen Morwani; Costin-Andrei Oncescu; Jingfeng Wu; Cengiz Pehlevan; Sham M. Kakade (CoRR, 2025)