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Harmonics of Learning: Universal Fourier Features Emerge in Invariant
  Networks

Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks

13 December 2023
G. Marchetti
Christopher Hillar
Danica Kragic
Sophia Sanborn
ArXivPDFHTML

Papers citing "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"

4 / 4 papers shown
Title
Low Rank and Sparse Fourier Structure in Recurrent Networks Trained on Modular Addition
Low Rank and Sparse Fourier Structure in Recurrent Networks Trained on Modular Addition
Akshay Rangamani
40
0
0
28 Mar 2025
An Invitation to Neuroalgebraic Geometry
An Invitation to Neuroalgebraic Geometry
G. Marchetti
V. Shahverdi
Stefano Mereta
Matthew Trager
Kathlén Kohn
109
2
0
31 Jan 2025
Relative Representations: Topological and Geometric Perspectives
Relative Representations: Topological and Geometric Perspectives
Alejandro García-Castellanos
G. Marchetti
Danica Kragic
Martina Scolamiero
48
0
0
17 Sep 2024
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,104
0
27 Apr 2021
1