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2404.08602
Cited By
Sliding down the stairs: how correlated latent variables accelerate learning with neural networks
12 April 2024
Lorenzo Bardone
Sebastian Goldt
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Papers citing
"Sliding down the stairs: how correlated latent variables accelerate learning with neural networks"
11 / 11 papers shown
Title
Scaling Laws and Representation Learning in Simple Hierarchical Languages: Transformers vs. Convolutional Architectures
Francesco Cagnetta
Alessandro Favero
Antonio Sclocchi
M. Wyart
21
0
0
11 May 2025
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
Fabiola Ricci
Lorenzo Bardone
Sebastian Goldt
OOD
30
0
0
31 Mar 2025
A distributional simplicity bias in the learning dynamics of transformers
Riccardo Rende
Federica Gerace
A. Laio
Sebastian Goldt
68
7
0
17 Feb 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 M. Lu
Bruno Loureiro
MLT
32
1
0
24 Oct 2024
How Feature Learning Can Improve Neural Scaling Laws
Blake Bordelon
Alexander B. Atanasov
C. Pehlevan
44
11
0
26 Sep 2024
How transformers learn structured data: insights from hierarchical filtering
Jerome Garnier-Brun
Marc Mézard
Emanuele Moscato
Luca Saglietti
24
5
0
27 Aug 2024
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents
Yatin Dandi
Emanuele Troiani
Luca Arnaboldi
Luca Pesce
Lenka Zdeborová
Florent Krzakala
MLT
56
24
0
05 Feb 2024
Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks
Eszter Székely
Lorenzo Bardone
Federica Gerace
Sebastian Goldt
27
2
0
22 Dec 2023
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
Emmanuel Abbe
Enric Boix-Adserà
Theodor Misiakiewicz
FedML
MLT
76
72
0
21 Feb 2023
Data-driven emergence of convolutional structure in neural networks
Alessandro Ingrosso
Sebastian Goldt
46
38
0
01 Feb 2022
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
Blake Bordelon
Abdulkadir Canatar
C. Pehlevan
131
199
0
07 Feb 2020
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