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Function Space and Critical Points of Linear Convolutional Networks

Function Space and Critical Points of Linear Convolutional Networks

12 April 2023
Kathlén Kohn
Guido Montúfar
V. Shahverdi
Matthew Trager
ArXivPDFHTML

Papers citing "Function Space and Critical Points of Linear Convolutional Networks"

7 / 7 papers shown
Title
An Invitation to Neuroalgebraic Geometry
An Invitation to Neuroalgebraic Geometry
G. Marchetti
V. Shahverdi
Stefano Mereta
Matthew Trager
Kathlén Kohn
113
2
0
31 Jan 2025
Training Dynamics of In-Context Learning in Linear Attention
Yedi Zhang
Aaditya K. Singh
Peter E. Latham
Andrew Saxe
MLT
64
1
0
28 Jan 2025
Geometry and Optimization of Shallow Polynomial Networks
Geometry and Optimization of Shallow Polynomial Networks
Yossi Arjevani
Joan Bruna
Joe Kileel
Elzbieta Polak
Matthew Trager
36
1
0
10 Jan 2025
On the Geometry and Optimization of Polynomial Convolutional Networks
On the Geometry and Optimization of Polynomial Convolutional Networks
V. Shahverdi
G. Marchetti
Kathlén Kohn
25
2
0
01 Oct 2024
Algebraic Complexity and Neurovariety of Linear Convolutional Networks
Algebraic Complexity and Neurovariety of Linear Convolutional Networks
V. Shahverdi
24
2
0
29 Jan 2024
Geometry of Linear Neural Networks: Equivariance and Invariance under Permutation Groups
Geometry of Linear Neural Networks: Equivariance and Invariance under Permutation Groups
Kathlén Kohn
Anna-Laura Sattelberger
V. Shahverdi
25
3
0
24 Sep 2023
Critical Points and Convergence Analysis of Generative Deep Linear
  Networks Trained with Bures-Wasserstein Loss
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss
Pierre Bréchet
Katerina Papagiannouli
Jing An
Guido Montúfar
25
3
0
06 Mar 2023
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