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Luca Arnaboldi 0002

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affiliation: École Polytechnique Fédérale de Lausanne (EPFL), IdePHICS Lab, Lausanne, Switzerland

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2020 – today

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2024
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  - journals/corr/abs-2402-03220
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Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala:
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents. CoRR abs/2402.03220 (2024)
2023
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Luca Arnaboldi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro:
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. COLT 2023: 1199-1227
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  - journals/corr/abs-2302-05882
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Luca Arnaboldi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro:
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks. CoRR abs/2302.05882 (2023)
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  - journals/corr/abs-2305-18502
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Luca Arnaboldi, Florent Krzakala, Bruno Loureiro, Ludovic Stephan:
Escaping mediocrity: how two-layer networks learn hard single-index models with SGD. CoRR abs/2305.18502 (2023)

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