Hugo Cui

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Learning Curves

Sample Complexity

Kernel Regression

Nadaraya Watson

Top Venues

Mach. Learn. Sci. Technol.

Publications

Dominik Schröder, Daniil Dmitriev, Hugo Cui, Bruno Loureiro
Asymptotics of Learning with Deep Structured (Random) Features. CoRR (2024)
Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborová
Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity. ICLR (2024)
Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborová, Bruno Loureiro
Asymptotics of feature learning in two-layer networks after one gradient-step. CoRR (2024)
Hugo Cui, Freya Behrens, Florent Krzakala, Lenka Zdeborová
A phase transition between positional and semantic learning in a solvable model of dot-product attention. CoRR (2024)
Hugo Cui, Lenka Zdeborová
High-dimensional Asymptotics of Denoising Autoencoders. NeurIPS (2023)
Dominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro
Deterministic equivalent and error universality of deep random features learning. ICML (2023)
Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborová
Analysis of learning a flow-based generative model from limited sample complexity. CoRR (2023)
Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Error scaling laws for kernel classification under source and capacity conditions. Mach. Learn. Sci. Technol. 4 (3) (2023)
Hugo Cui, Florent Krzakala, Lenka Zdeborová
Optimal Learning of Deep Random Networks of Extensive-width. CoRR (2023)
Hugo Cui, Lenka Zdeborová
High-dimensional Asymptotics of Denoising Autoencoders. CoRR (2023)
Hugo Cui, Florent Krzakala, Lenka Zdeborová
Bayes-optimal Learning of Deep Random Networks of Extensive-width. ICML (2023)
Dominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro
Deterministic equivalent and error universality of deep random features learning. CoRR (2023)
Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Error Rates for Kernel Classification under Source and Capacity Conditions. CoRR (2022)
Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Learning curves of generic features maps for realistic datasets with a teacher-student model. NeurIPS (2021)
Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime. NeurIPS (2021)
Hugo Cui, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime. CoRR (2021)
Bruno Loureiro, Cédric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mézard, Lenka Zdeborová
Capturing the learning curves of generic features maps for realistic data sets with a teacher-student model. CoRR (2021)
Hugo Cui, Luca Saglietti, Lenka Zdeborová
Large deviations in the perceptron model and consequences for active learning. Mach. Learn. Sci. Technol. 2 (4) (2021)
Hugo Cui, Luca Saglietti, Lenka Zdeborová
Large deviations for the perceptron model and consequences for active learning. MSML (2020)
Hugo Cui, Luca Saglietti, Lenka Zdeborová
Large deviations for the perceptron model and consequences for active learning. CoRR (2019)