6 citations · 6 across the 1 of their papers we have counts for
3 papers
stat.ME2021★ 6 cited
Neural Networks for Parameter Estimation in Intractable Models
Amanda Lenzi, Julie Bessac, Johann Rudi +1
We propose to use deep learning to estimate parameters in statistical models when standard likelihood estimation methods are computationally infeasible. We show how to estimate par…
stat.ML2020
Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE
Johann Rudi, Julie Bessac, Amanda Lenzi
Machine learning algorithms have been successfully used to approximate nonlinear maps under weak assumptions on the structure and properties of the maps. We present deep neural net…
math.NA2020
Advanced Newton Methods for Geodynamical Models of Stokes Flow with Viscoplastic Rheologies
Johann Rudi, Yu-hsuan Shih, Georg Stadler
Strain localization and resulting plasticity and failure play an important role in the evolution of the lithosphere. These phenomena are commonly modeled by Stokes flows with visco…