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Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes
  for Parallel-in-Time Solvers

Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers

20 May 2024
Guglielmo Gattiglio
Lyudmila Grigoryeva
M. Tamborrino
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Papers citing "Nearest Neighbors GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers"

4 / 4 papers shown
Title
RandNet-Parareal: a time-parallel PDE solver using Random Neural
  Networks
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
Guglielmo Gattiglio
Lyudmila Grigoryeva
M. Tamborrino
19
1
0
09 Nov 2024
Parareal with a physics-informed neural network as coarse propagator
Parareal with a physics-informed neural network as coarse propagator
A. Ibrahim
Sebastian Götschel
Daniel Ruprecht
15
8
0
07 Mar 2023
Parameter selection in Gaussian process interpolation: an empirical
  study of selection criteria
Parameter selection in Gaussian process interpolation: an empirical study of selection criteria
S. Petit
Julien Bect
Paul Feliot
E. Vázquez
19
11
0
13 Jul 2021
Local Gaussian process approximation for large computer experiments
Local Gaussian process approximation for large computer experiments
R. Gramacy
D. Apley
98
391
0
02 Mar 2013
1