activity
20222025
most citedOptimizing Objective Functions from Trained ReLU Neural Networks via Sampling

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing math.NAShow all

1 paper · 1 filter

math.NA2022

Discrete Gradient Flow Approximations of High Dimensional Evolution Partial Differential Equations via Deep Neural Networks

Emmanuil H. Georgoulis, Michail Loulakis, Asterios Tsiourvas

We consider the approximation of initial/boundary value problems involving, possibly high-dimensional, dissipative evolution partial differential equations (PDEs) using a deep neur…