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Geometry of Linear Convolutional Networks
v1v2 (latest)

Geometry of Linear Convolutional Networks

3 August 2021
Kathlén Kohn
Thomas Merkh
Guido Montúfar
Matthew Trager
ArXiv (abs)PDFHTML

Papers citing "Geometry of Linear Convolutional Networks"

13 / 13 papers shown
Title
Understanding Learning Invariance in Deep Linear Networks
Understanding Learning Invariance in Deep Linear Networks
Hao Duan
Guido Montúfar
17
0
0
16 Jun 2025
Understanding Mode Connectivity via Parameter Space Symmetry
Understanding Mode Connectivity via Parameter Space Symmetry
B. Zhao
Nima Dehmamy
Robin Walters
Rose Yu
227
8
0
29 May 2025
Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry
Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry
Giovanni Luca Marchetti
Vahid Shahverdi
Stefano Mereta
Matthew Trager
Kathlén Kohn
153
2
0
31 Jan 2025
Training Dynamics of In-Context Learning in Linear Attention
Training Dynamics of In-Context Learning in Linear Attention
Yedi Zhang
Aaditya K. Singh
Peter E. Latham
Andrew Saxe
MLT
128
5
0
27 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
84
3
0
10 Jan 2025
On the Geometry and Optimization of Polynomial Convolutional Networks
On the Geometry and Optimization of Polynomial Convolutional Networks
Vahid Shahverdi
Giovanni Luca Marchetti
Kathlén Kohn
55
4
0
01 Oct 2024
Algebraic Representations for Faster Predictions in Convolutional Neural
  Networks
Algebraic Representations for Faster Predictions in Convolutional Neural Networks
Johnny Joyce
Jan Verschelde
AI4CE
53
0
0
14 Aug 2024
Algebraic Complexity and Neurovariety of Linear Convolutional Networks
Algebraic Complexity and Neurovariety of Linear Convolutional Networks
Vahid Shahverdi
112
4
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
Vahid Shahverdi
97
4
0
24 Sep 2023
Function Space and Critical Points of Linear Convolutional Networks
Function Space and Critical Points of Linear Convolutional Networks
Kathlén Kohn
Guido Montúfar
Vahid Shahverdi
Matthew Trager
85
14
0
12 Apr 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
82
4
0
06 Mar 2023
Side Effects of Learning from Low-dimensional Data Embedded in a
  Euclidean Space
Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean Space
Juncai He
R. Tsai
Rachel A. Ward
82
9
0
01 Mar 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep
  Convolutional Neural Networks
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks
Noam Razin
Asaf Maman
Nadav Cohen
132
29
0
27 Jan 2022
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