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Experimental Design for Non-Parametric Correction of Misspecified
  Dynamical Models

Experimental Design for Non-Parametric Correction of Misspecified Dynamical Models

2 May 2017
Gal Shulkind
L. Horesh
H. Avron
ArXivPDFHTML

Papers citing "Experimental Design for Non-Parametric Correction of Misspecified Dynamical Models"

4 / 4 papers shown
Title
Bayesian Experimental Design for Symbolic Discovery
Bayesian Experimental Design for Symbolic Discovery
K. Clarkson
Cristina Cornelio
S. Dash
Joao Goncalves
L. Horesh
N. Megiddo
17
2
0
29 Nov 2022
Optimal design of large-scale nonlinear Bayesian inverse problems under
  model uncertainty
Optimal design of large-scale nonlinear Bayesian inverse problems under model uncertainty
A. Alexanderian
R. Nicholson
N. Petra
14
10
0
08 Nov 2022
Optimal design of large-scale Bayesian linear inverse problems under
  reducible model uncertainty: good to know what you don't know
Optimal design of large-scale Bayesian linear inverse problems under reducible model uncertainty: good to know what you don't know
A. Alexanderian
N. Petra
G. Stadler
Isaac Sunseri
11
16
0
21 Jun 2020
Data-driven Discovery of Closure Models
Data-driven Discovery of Closure Models
Shaowu Pan
Karthik Duraisamy
AI4CE
14
91
0
25 Mar 2018
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