14 citations · 34 across the 20 of their papers we have counts for
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cs.LG2021★ 2 cited
Deep Learning with Nonsmooth Objectives
Vinesha Peiris, Nadezda Sukhorukova, Vera Roshchina
We explore the potential for using a nonsmooth loss function based on the max-norm in the training of an artificial neural network. We hypothesise that this may lead to superior cl…
math.OC2021★ 7 cited
Multivariate approximation by polynomial and generalised rational functions
R. Díaz Millán, V. Peiris, N. Sukhorukova +1
In this paper we develop an optimisation based approach to multivariate Chebyshev approximation on a finite grid. We consider two models: multivariate polynomial approximation and…