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A function space analysis of finite neural networks with insights from
  sampling theory
v1v2 (latest)

A function space analysis of finite neural networks with insights from sampling theory

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
15 April 2020
Raja Giryes
ArXiv (abs)PDFHTML

Papers citing "A function space analysis of finite neural networks with insights from sampling theory"

4 / 4 papers shown
Stretched and measured neural predictions of complex network dynamics
Stretched and measured neural predictions of complex network dynamics
V. Vasiliauskaite
Nino Antulov-Fantulin
553
1
0
12 Jan 2023
NeuralMLS: Geometry-Aware Control Point Deformation
NeuralMLS: Geometry-Aware Control Point DeformationEurographics (EG), 2022
Meitar Shechter
Rana Hanocka
G. Metzer
Raja Giryes
Daniel Cohen-Or
244
7
0
05 Jan 2022
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Amir Hertz
Or Perel
Raja Giryes
O. Sorkine-Hornung
Daniel Cohen-Or
3DHAI4CE
186
4
0
11 Oct 2021
Kernel-Based Smoothness Analysis of Residual Networks
Kernel-Based Smoothness Analysis of Residual NetworksMathematical and Scientific Machine Learning (MSML), 2020
Tom Tirer
Joan Bruna
Raja Giryes
280
21
0
21 Sep 2020
1
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