Cui, Hugo

14 publications

ICLR 2026 High-Dimensional Analysis of Single-Layer Attention for Sparse-Token Classification Nicholas Barnfield, Hugo Cui, Yue M. Lu

AISTATS 2025 A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities Yatin Dandi, Luca Pesce, Hugo Cui, Florent Krzakala, Yue Lu, Bruno Loureiro

NeurIPS 2025 A Solvable Model of Learning Generative Diffusion: Theory and Insights Hugo Cui, Cengiz Pehlevan, Yue M. Lu

ICML 2025 Fundamental Limits of Learning in Sequence Multi-Index Models and Deep Attention Networks: High-Dimensional Asymptotics and Sharp Thresholds Emanuele Troiani, Hugo Cui, Yatin Dandi, Florent Krzakala, Lenka Zdeborova

NeurIPS 2024 A Phase Transition Between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention Hugo Cui, Freya Behrens, Florent Krzakala, Lenka Zdeborová

ICMLW 2024 A Phase Transition Between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention Hugo Cui, Freya Behrens, Florent Krzakala, Lenka Zdeborova

ICLR 2024 Analysis of Learning a Flow-Based Generative Model from Limited Sample Complexity Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborova

ICML 2024 Asymptotics of Feature Learning in Two-Layer Networks After One Gradient-Step Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue Lu, Lenka Zdeborova, Bruno Loureiro

ICML 2024 Asymptotics of Learning with Deep Structured (Random) Features Dominik Schröder, Daniil Dmitriev, Hugo Cui, Bruno Loureiro

ICML 2023 Bayes-Optimal Learning of Deep Random Networks of Extensive-Width Hugo Cui, Florent Krzakala, Lenka Zdeborova

ICML 2023 Deterministic Equivalent and Error Universality of Deep Random Features Learning Dominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro

NeurIPS 2023 High-Dimensional Asymptotics of Denoising Autoencoders Hugo Cui, Lenka Zdeborová

NeurIPS 2021 Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová

NeurIPS 2021 Learning Curves of Generic Features Maps for Realistic Datasets with a Teacher-Student Model Bruno Loureiro, Cedric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mezard, Lenka Zdeborová