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Measuring Complexity of Learning Schemes Using Hessian-Schatten Total
  Variation

Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation

12 December 2021
Shayan Aziznejad
Joaquim Campos
M. Unser
ArXivPDFHTML

Papers citing "Measuring Complexity of Learning Schemes Using Hessian-Schatten Total Variation"

4 / 4 papers shown
Title
Fractal and Regular Geometry of Deep Neural Networks
Fractal and Regular Geometry of Deep Neural Networks
Simmaco Di Lillo
Domenico Marinucci
Michele Salvi
S. Vigogna
MDE
AI4CE
31
0
0
08 Apr 2025
Spectral complexity of deep neural networks
Spectral complexity of deep neural networks
Simmaco Di Lillo
Domenico Marinucci
Michele Salvi
S. Vigogna
BDL
74
1
0
15 May 2024
Delaunay-Triangulation-Based Learning with Hessian Total-Variation
  Regularization
Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization
Mehrsa Pourya
Alexis Goujon
M. Unser
14
5
0
16 Aug 2022
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks
Rahul Parhi
Robert D. Nowak
48
38
0
18 Sep 2021
1