Matthew M. Dunlop

According to our database, Matthew M. Dunlop authored at least 7 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

A gradient-free subspace-adjusting ensemble sampler for infinite-dimensional Bayesian inverse problems.

Matthew M. Dunlop, Georg Stadler

CoRR, 2022

2021

Stability of Gibbs Posteriors from the Wasserstein Loss for Bayesian Full Waveform Inversion.

Matthew M. Dunlop, Yunan Yang

SIAM/ASA J. Uncertain. Quantification, 2021

Bayesian neural network priors for edge-preserving inversion.

Chen Li, Matthew M. Dunlop, Georg Stadler

CoRR, 2021

2020

Reconciling Bayesian and Perimeter Regularization for Binary Inversion.

Oliver R. A. Dunbar, Matthew M. Dunlop, Charles M. Elliott, Viet Ha Hoang, Andrew M. Stuart

SIAM J. Sci. Comput., 2020

2018

How Deep Are Deep Gaussian Processes?

Matthew M. Dunlop, Mark A. Girolami, Andrew M. Stuart, Aretha L. Teckentrup

J. Mach. Learn. Res., 2018

Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms.

Matthew M. Dunlop, Dejan Slepcev, Andrew M. Stuart, Matthew Thorpe

CoRR, 2018

2017

Hierarchical Bayesian level set inversion.

Matthew M. Dunlop, Marco A. Iglesias, Andrew M. Stuart

Stat. Comput., 2017