On Learning Gaussian Multi-index Models with Gradient Flow

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On Learning Gaussian Multi-index Models with Gradient Flow

30 October 2023

Joan Bruna

Loucas Pillaud-Vivien

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Papers citing "On Learning Gaussian Multi-index Models with Gradient Flow"

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Title
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions Elisabetta Cornacchia Dan Mikulincer Elchanan Mossel 128 1 0 10 Feb 2025
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input Ziang Chen Rong Ge MLT 122 1 0 10 Jan 2025
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence Berfin Simsek Amire Bendjeddou Daniel Hsu 170 3 0 13 Nov 2024
Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics Alireza Mousavi-Hosseini Denny Wu Murat A. Erdogdu MLT AI4CE 82 8 0 14 Aug 2024
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions Luca Arnaboldi Yatin Dandi Florent Krzakala Luca Pesce Ludovic Stephan 119 18 0 24 May 2024