activity
20182022
most citedMaximum bound principles for a class of semilinear parabolic equations and exponential time differencing schemes

12 citations · 38 across the 9 of their papers we have counts for

collaborators
Showing stat.MLShow all

1 paper · 1 filter

stat.ML2021

Nonlinear Level Set Learning for Function Approximation on Sparse Data with Applications to Parametric Differential Equations

Anthony Gruber, Max Gunzburger, Lili Ju +2

A dimension reduction method based on the "Nonlinear Level set Learning" (NLL) approach is presented for the pointwise prediction of functions which have been sparsely sampled. Lev…