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Large-Scale Learning with Fourier Features and Tensor Decompositions
v1v2 (latest)

Large-Scale Learning with Fourier Features and Tensor Decompositions

3 September 2021
Frederiek Wesel
Kim Batselier
ArXiv (abs)PDFHTML

Papers citing "Large-Scale Learning with Fourier Features and Tensor Decompositions"

3 / 3 papers shown
Title
Tensor Network-Constrained Kernel Machines as Gaussian Processes
Tensor Network-Constrained Kernel Machines as Gaussian Processes
Frederiek Wesel
Kim Batselier
118
0
0
28 Mar 2024
Quantized Fourier and Polynomial Features for more Expressive Tensor
  Network Models
Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models
Frederiek Wesel
Kim Batselier
55
1
0
11 Sep 2023
Position: Tensor Networks are a Valuable Asset for Green AI
Position: Tensor Networks are a Valuable Asset for Green AI
Eva Memmel
Clara Menzen
Jetze T. Schuurmans
Frederiek Wesel
Kim Batselier
56
6
0
25 May 2022
1