Matthew M. Dunlop

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 8

Top Topics

Gaussian Processes

Image Reconstruction

Hierarchical Bayesian

Hyperparameters

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Mach. Learn. Res.

Publications

Matthew M. Dunlop, Georg Stadler
A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems. CoRR (2022)
Chen Li, Matthew M. Dunlop, Georg Stadler
Bayesian neural network priors for edge-preserving inversion. CoRR (2021)
Matthew M. Dunlop, Yunan Yang
Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion. SIAM/ASA J. Uncertain. Quantification 9 (4) (2021)
Oliver R. A. Dunbar, Matthew M. Dunlop, Charles M. Elliott, Viet Ha Hoang, Andrew M. Stuart
Reconciling Bayesian and Perimeter Regularization for Binary Inversion. SIAM J. Sci. Comput. 42 (4) (2020)
Matthew M. Dunlop, Yunan Yang
Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion. CoRR (2020)
Matthew M. Dunlop, Dejan Slepcev, Andrew M. Stuart, Matthew Thorpe
Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms. CoRR (2018)
Matthew M. Dunlop, Mark A. Girolami, Andrew M. Stuart, Aretha L. Teckentrup
How Deep Are Deep Gaussian Processes? J. Mach. Learn. Res. 19 (2018)
Matthew M. Dunlop, Marco A. Iglesias, Andrew M. Stuart
Hierarchical Bayesian level set inversion. Stat. Comput. 27 (6) (2017)