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most citedOptimizing Objective Functions from Trained ReLU Neural Networks via Sampling

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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…