7 citations · 7 across the 3 of their papers we have counts for
3 papers
math.NA2022
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systems
Teo Deveney, Eike Mueller, Tony Shardlow
We introduce a deep learning accelerated methodology to solve PDE-based Bayesian inverse problems with guaranteed accuracy. This is motivated by the ill-posed problem of inferring…
math.NA2019★ 7 cited
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models
Teo Deveney, Eike Mueller, Tony Shardlow
We investigate a deep learning approach to efficiently perform Bayesian inference in partial differential equation (PDE) and integral equation models over potentially high-dimensio…
math.NA2014
Improving MLMC for SDEs with application to the Langevin equation
Eike H. Mueller, Rob Scheichl, Tony Shardlow
This paper applies several well-known tricks from the numerical treatment of deterministic differential equations to improve the efficiency of the Multilevel Monte Carlo (MLMC) met…