26 citations · 46 across the 28 of their papers we have counts for
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math.NA2021★ 1 cited
Deep ReLU neural network approximation in Bochner spaces and applications to parametric PDEs
Dinh Dũng, Van Kien Nguyen, Duong Thanh Pham
We investigate non-adaptive methods of deep ReLU neural network approximation in Bochner spaces of functions on taking values i…
math.NA2021★ 1 cited
Collocation approximation by deep neural ReLU networks for parametric elliptic PDEs with lognormal inputs
Dinh Dũng
We obtained convergence rates of the collocation approximation by deep ReLU neural networks of solutions to elliptic PDEs with lognormal inputs, parametrized by fr…
math.NA2021★ 1 cited
High-dimensional nonlinear approximation by parametric manifolds in Hölder-Nikol'skii spaces of mixed smoothness
Dinh Dũng, Van Kien Nguyen
We study high-dimensional nonlinear approximation of functions in Hölder-Nikol'skii spaces on the unit cube having mixed smoothne…