Ikuti
Matthew Dunlop
Judul
Dikutip oleh
Dikutip oleh
Tahun
How deep are deep Gaussian processes?
MM Dunlop, MA Girolami, AM Stuart, AL Teckentrup
Journal of Machine Learning Research 19 (54), 1-46, 2018
1412018
Hierarchical Bayesian level set inversion
MM Dunlop, MA Iglesias, AM Stuart
Statistics and Computing 27, 1555-1584, 2017
1112017
The Bayesian formulation of EIT: analysis and algorithms
MM Dunlop, AM Stuart
Inverse Problems & Imaging 10 (4), 1007-1036, 2015
692015
Iterative updating of model error for Bayesian inversion
D Calvetti, M Dunlop, E Somersalo, A Stuart
Inverse Problems 34 (2), 025008, 2018
572018
Large data and zero noise limits of graph-based semi-supervised learning algorithms
MM Dunlop, D Slepčev, AM Stuart, M Thorpe
Applied and Computational Harmonic Analysis 49 (2), 655-697, 2020
562020
Dimension-robust MCMC in Bayesian inverse problems
V Chen, MM Dunlop, O Papaspiliopoulos, AM Stuart
arXiv preprint arXiv:1803.03344, 2018
47*2018
MAP estimators for piecewise continuous inversion
MM Dunlop, AM Stuart
Inverse Problems 32 (10), 105003, 2016
222016
Hyperparameter estimation in Bayesian MAP estimation: parameterizations and consistency
MM Dunlop, T Helin, AM Stuart
The SMAI journal of computational mathematics 6, 69-100, 2020
152020
Stability of Gibbs posteriors from the Wasserstein loss for Bayesian full waveform inversion
MM Dunlop, Y Yang
SIAM/ASA Journal on Uncertainty Quantification 9 (4), 1499-1526, 2021
132021
Multiplicative noise in Bayesian inverse problems: Well-posedness and consistency of MAP estimators
MM Dunlop
arXiv preprint arXiv:1910.14632, 2019
112019
Bayesian neural network priors for edge-preserving inversion
C Li, M Dunlop, G Stadler
arXiv preprint arXiv:2112.10663, 2021
102021
Large data and zero noise limits of graph-based semi-supervised learning algorithms
MM Dunlop, D Slepčev, AM Stuart, M Thorpe
arXiv preprint arXiv:1805.09450, 2018
92018
A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems
MM Dunlop, G Stadler
arXiv preprint arXiv:2202.11088, 2022
62022
Reconciling Bayesian and perimeter regularization for binary inversion
ORA Dunbar, MM Dunlop, CM Elliott, VH Hoang, AM Stuart
arXiv, 2020
6*2020
Analysis and computation for Bayesian inverse problems
MM Dunlop
University of Warwick, 2016
42016
New likelihood functions and level-set prior for Bayesian full-waveform inversion
M Dunlop, Y Yang
SEG Technical Program Expanded Abstracts 2020, 825-829, 2020
12020
RECONCILING BAYESIAN AND TOTAL VARIATION REGULARIZATION METHODS FOR BINARY INVERSION
MM DUNLOP, CM ELLIOTT, VHA HOANG, AM STUART
arXiv preprint arXiv:1706.01960, 2017
2017
Hierarchical Bayesian Level Set Inversion: Supplementary Figures
MM Dunlop, MA Iglesias, AM Stuart
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