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Hugo Cui

A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities

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Oct 24, 2024
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High-dimensional learning of narrow neural networks

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Sep 20, 2024
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Asymptotics of Learning with Deep Structured (Random) Features

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Feb 21, 2024
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Asymptotics of feature learning in two-layer networks after one gradient-step

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Feb 07, 2024
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A phase transition between positional and semantic learning in a solvable model of dot-product attention

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Feb 06, 2024
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Analysis of learning a flow-based generative model from limited sample complexity

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Oct 05, 2023
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High-dimensional Asymptotics of Denoising Autoencoders

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May 18, 2023
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Optimal Learning of Deep Random Networks of Extensive-width

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Feb 01, 2023
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Deterministic equivalent and error universality of deep random features learning

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Feb 01, 2023
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Error Rates for Kernel Classification under Source and Capacity Conditions

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Jan 29, 2022
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