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Fast Bayesian Optimal Experimental Design for Seismic Source Inversion

Fast Bayesian Optimal Experimental Design for Seismic Source Inversion

27 February 2015
Q. Long
Mohammad Motamed
Raúl Tempone
ArXiv (abs)PDFHTML

Papers citing "Fast Bayesian Optimal Experimental Design for Seismic Source Inversion"

11 / 11 papers shown
PIED: Physics-Informed Experimental Design for Inverse Problems
PIED: Physics-Informed Experimental Design for Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2025
Apivich Hemachandra
Gregory Kang Ruey Lau
Szu Hui Ng
Bryan Kian Hsiang Low
PINN
431
4
0
10 Mar 2025
Analysis and Optimization of Seismic Monitoring Networks with Bayesian
  Optimal Experiment Design
Analysis and Optimization of Seismic Monitoring Networks with Bayesian Optimal Experiment Design
Jake Callahan
Kevin Monogue
Ruben Villarreal
Tommie A. Catanach
221
1
0
27 Sep 2024
Greedy selection of optimal location of sensors for uncertainty
  reduction in seismic moment tensor inversion
Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion
B. M. Dia
Michael Fehler
S. Kaka
A. Scarinci
U. Waheed
Chen Gu
234
3
0
03 Mar 2024
Bayesian design of measurements for magnetorelaxometry imaging
Bayesian design of measurements for magnetorelaxometry imagingInverse Problems (IP), 2023
T. Helin
Nuutti Hyvönen
Jarno Maaninen
Juha-Pekka Puska
254
17
0
31 May 2023
Stability estimates for the expected utility in Bayesian optimal
  experimental design
Stability estimates for the expected utility in Bayesian optimal experimental designInverse Problems (IP), 2022
D. Duong
T. Helin
Jose Rodrigo Rojo-Garcia
329
14
0
08 Nov 2022
Simplified algorithms for adaptive experiment design in parameter
  estimation
Simplified algorithms for adaptive experiment design in parameter estimationPhysical Review Applied (Phys. Rev. Appl.), 2022
R. McMichael
S. Blakley
272
14
0
16 Feb 2022
Reinforcement Learning based Sequential Batch-sampling for Bayesian
  Optimal Experimental Design
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design
Yonatan Ashenafi
Piyush Pandita
Sayan Ghosh
OffRL
267
6
0
21 Dec 2021
Multimodal Information Gain in Bayesian Design of Experiments
Multimodal Information Gain in Bayesian Design of Experiments
Q. Long
334
16
0
16 Aug 2021
Optimal Bayesian experimental design for subsurface flow problems
Optimal Bayesian experimental design for subsurface flow problemsComputer Methods in Applied Mechanics and Engineering (CMAME), 2020
Alexander Tarakanov
A. Elsheikh
231
11
0
10 Aug 2020
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse
  Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized
  Bayesian Inference
hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems Governed by PDEs; Part I: Deterministic Inversion and Linearized Bayesian InferenceACM Transactions on Mathematical Software (TOMS), 2019
Umberto Villa
N. Petra
Omar Ghattas
194
74
0
09 Sep 2019
A layered multiple importance sampling scheme for focused optimal
  Bayesian experimental design
A layered multiple importance sampling scheme for focused optimal Bayesian experimental design
Chi Feng
Youssef M. Marzouk
100
24
0
26 Mar 2019
1
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