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Well-Posed Bayesian Geometric Inverse Problems Arising in Subsurface
  Flow
v1v2 (latest)

Well-Posed Bayesian Geometric Inverse Problems Arising in Subsurface Flow

22 January 2014
M. Iglesias
Kui Lin
Andrew M. Stuart
ArXiv (abs)PDFHTML

Papers citing "Well-Posed Bayesian Geometric Inverse Problems Arising in Subsurface Flow"

19 / 19 papers shown
Dimension reduction via score ratio matching
Dimension reduction via score ratio matching
Ricardo Baptista
Michael C. Brennan
Youssef Marzouk
331
1
0
25 Oct 2024
Efficient Prior Calibration From Indirect Data
Efficient Prior Calibration From Indirect Data
O. Deniz Akyildiz
Mark Girolami
Andrew M. Stuart
Arnaud Vadeboncoeur
446
11
0
28 May 2024
Conditional Optimal Transport on Function Spaces
Conditional Optimal Transport on Function Spaces
Bamdad Hosseini
Alexander W. Hsu
Amirhossein Taghvaei
OT
483
29
0
09 Nov 2023
Extending Universal Approximation Guarantees: A Theoretical
  Justification for the Continuity of Real-World Learning Tasks
Extending Universal Approximation Guarantees: A Theoretical Justification for the Continuity of Real-World Learning Tasks
Naveen Durvasula
95
0
0
06 Dec 2022
A Statistical Framework for Domain Shape Estimation in Stokes Flows
A Statistical Framework for Domain Shape Estimation in Stokes FlowsInverse Problems (IP), 2022
J. Borggaard
N. Glatt-Holtz
J. Krometis
370
2
0
06 Dec 2022
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method
  with Sequential Data
On a Dynamic Variant of the Iteratively Regularized Gauss-Newton Method with Sequential DataSIAM Journal on Scientific Computing (SISC), 2022
Neil K. Chada
M. Iglesias
Shuai Lu
Frank Werner
236
1
0
27 Jul 2022
Laplace priors and spatial inhomogeneity in Bayesian inverse problems
Laplace priors and spatial inhomogeneity in Bayesian inverse problems
S. Agapiou
Sven Wang
436
21
0
10 Dec 2021
Cauchy Markov Random Field Priors for Bayesian Inversion
Cauchy Markov Random Field Priors for Bayesian InversionStatistics and computing (Stat Comput), 2021
Neil K. Chada
L. Roininen
Jarkko Suuronen
405
29
0
26 May 2021
Multiscale Invertible Generative Networks for High-Dimensional Bayesian
  Inference
Multiscale Invertible Generative Networks for High-Dimensional Bayesian InferenceInternational Conference on Machine Learning (ICML), 2021
Shumao Zhang
Pengchuan Zhang
Daniel Leibovici
BDL
224
6
0
12 May 2021
A unified performance analysis of likelihood-informed subspace methods
A unified performance analysis of likelihood-informed subspace methods
Tiangang Cui
X. Tong
376
29
0
07 Jan 2021
Ensemble sampler for infinite-dimensional inverse problems
Ensemble sampler for infinite-dimensional inverse problemsStatistics and computing (Stat. Comput.), 2020
Jeremie Coullon
R. Webber
386
11
0
28 Oct 2020
Conditional Sampling with Monotone GANs: from Generative Models to
  Likelihood-Free Inference
Conditional Sampling with Monotone GANs: from Generative Models to Likelihood-Free Inference
Ricardo Baptista
Bamdad Hosseini
Nikola B. Kovachki
Youssef Marzouk
OTGAN
396
35
0
11 Jun 2020
Model Reduction and Neural Networks for Parametric PDEs
Model Reduction and Neural Networks for Parametric PDEs
K. Bhattacharya
Bamdad Hosseini
Nikola B. Kovachki
Andrew M. Stuart
653
433
0
07 May 2020
MCMC for a hyperbolic Bayesian inverse problem in traffic flow modelling
MCMC for a hyperbolic Bayesian inverse problem in traffic flow modelling
Jeremie Coullon
Y. Pokern
336
1
0
07 Jan 2020
On uniform continuity of posterior distributions
On uniform continuity of posterior distributionsStatistics and Probability Letters (Stat. Probab. Lett.), 2019
Emanuele Dolera
E. Mainini
170
9
0
23 Sep 2019
On the well-posedness of Bayesian inverse problems
On the well-posedness of Bayesian inverse problems
J. Latz
412
57
0
26 Feb 2019
Transform-based particle filtering for elliptic Bayesian inverse
  problems
Transform-based particle filtering for elliptic Bayesian inverse problems
Sangeetika Ruchi
S. Dubinkina
M. Iglesias
OT
225
9
0
15 Jan 2019
Bayesian and Variational Bayesian approaches for flows in heterogenous
  random media
Bayesian and Variational Bayesian approaches for flows in heterogenous random media
Keren Yang
Nilabja Guha
Y. Efendiev
Bani Mallick
338
16
0
03 Nov 2016
Well-posed Bayesian Inverse Problems: Priors with Exponential Tails
Well-posed Bayesian Inverse Problems: Priors with Exponential Tails
Bamdad Hosseini
N. Nigam
334
48
0
09 Apr 2016
1
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