14 citations · 22 across the 3 of their papers we have counts for
3 papers
Hessian-informed Hamiltonian Monte Carlo for high-dimensional problems
Mina Karimi, Kaushik Dayal, Matteo Pozzi
We investigate the effect of using local and non-local second derivative information on the performance of Hamiltonian Monte Carlo (HMC) sampling methods, for high-dimension non-Ga…
High-dimensional Nonlinear Bayesian Inference of Poroelastic Fields from Pressure Data
Mina Karimi, Mehrdad Massoudi, Kaushik Dayal +1
We investigate solution methods for large-scale inverse problems governed by partial differential equations (PDEs) via Bayesian inference. The Bayesian framework provides a statist…
Energetic Formulation of Large-Deformation Poroelasticity
Mina Karimi, Mehrdad Massoudi, Noel Walkington +2
The modeling of coupled fluid transport and deformation in a porous medium is essential to predict the various geomechanical process such as CO2 sequestration, hydraulic fracturing…