We investigate the approximation of functions f on a bounded domain
Ω⊂ℝ^...
We consider the problem of numerically approximating the solutions to a
...
This paper studies the problem of learning an unknown function f from gi...
In the desire to quantify the success of neural networks in deep learnin...
Neural Networks (NNs) are the method of choice for building learning
alg...
While it is well known that nonlinear methods of approximation can often...
The usual approach to model reduction for parametric partial differentia...