72 citations · 118 across the 10 of their papers we have counts for
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physics.comp-ph2023★ 2 cited
A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling
QiZhi He, Mauro Perego, Amanda A. Howard +2
One of the most challenging and consequential problems in climate modeling is to provide probabilistic projections of sea level rise. A large part of the uncertainty of sea level p…
math.NA2023★ 6 cited
Hierarchical off-diagonal low-rank approximation of Hessians in inverse problems, with application to ice sheet model initializaiton
Tucker Hartland, Georg Stadler, Mauro Perego +2
Obtaining lightweight and accurate approximations of Hessian applies in inverse problems governed by partial differential equations (PDEs) is an essential task to make both determi…