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researcher

V. Peiris

11 papers hereh-index 342 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author8
  • middle author2

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • math.OC9
  • cs.LG1
  • math.NA1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedRational approximation and its application to improving deep learning classifiers

8 citations · 18 across the 9 of their papers we have counts for

collaborators
Showing 2026 · math.OCShow all

1 paper · 2 filters

math.OC2026

Difference of Convex (DC) approach for neural network approximation with uniform loss function

Vinesha Peiris, Nadezda Sukhorukova

Neural networks (NNs) can be viewed as approximation tools. Traditionally, NNs are relying on gradient and stochastic gradient (SG) methods. There are a number of available computa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.