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Parametric Gaussian Process Regression for Big Data
v1v2 (latest)

Parametric Gaussian Process Regression for Big Data

11 April 2017
M. Raissi
ArXiv (abs)PDFHTML

Papers citing "Parametric Gaussian Process Regression for Big Data"

13 / 13 papers shown
Title
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network
  Kernel for Gaussian Process Regression
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression
S. Z. Ashtiani
Mohammad Sarabian
K. Laksari
H. Babaee
52
4
0
14 Mar 2024
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman
  Operator
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator
Shaowu Pan
E. Kaiser
Brian M. de Silva
J. Nathan Kutz
Steven L. Brunton
110
8
0
22 Jun 2023
A Physics Informed Neural Network Approach to Solution and
  Identification of Biharmonic Equations of Elasticity
A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity
M. Vahab
E. Haghighat
M. Khaleghi
N. Khalili
PINN
117
45
0
16 Aug 2021
Latent Map Gaussian Processes for Mixed Variable Metamodeling
Latent Map Gaussian Processes for Mixed Variable Metamodeling
Nicholas Oune
Ramin Bostanabad
55
34
0
07 Feb 2021
A Tunnel Gaussian Process Model for Learning Interpretable Flight's
  Landing Parameters
A Tunnel Gaussian Process Model for Learning Interpretable Flight's Landing Parameters
Sim Kuan Goh
N. P. Singh
Zhi Jun Lim
Sameer Alam
24
9
0
18 Nov 2020
Deep Learning of Vortex Induced Vibrations
Deep Learning of Vortex Induced Vibrations
M. Raissi
Zhicheng Wang
M. Triantafyllou
George Karniadakis
AI4CE
79
378
0
26 Aug 2018
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework
  for Assimilating Flow Visualization Data
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data
M. Raissi
A. Yazdani
George Karniadakis
AI4CEPINN
99
161
0
13 Aug 2018
Machine Learning of Space-Fractional Differential Equations
Machine Learning of Space-Fractional Differential Equations
Mamikon A. Gulian
M. Raissi
P. Perdikaris
George Karniadakis
106
47
0
02 Aug 2018
Forward-Backward Stochastic Neural Networks: Deep Learning of
  High-dimensional Partial Differential Equations
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations
M. Raissi
116
188
0
19 Apr 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial
  Differential Equations
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
M. Raissi
PINNAI4CE
130
757
0
20 Jan 2018
Forecasting of commercial sales with large scale Gaussian Processes
Forecasting of commercial sales with large scale Gaussian Processes
Rodrigo Rivera
Evgeny Burnaev
49
22
0
16 Sep 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial
  Differential Equations
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations
M. Raissi
George Karniadakis
AI4CEPINN
87
1,144
0
02 Aug 2017
Numerical Gaussian Processes for Time-dependent and Non-linear Partial
  Differential Equations
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
101
268
0
29 Mar 2017
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