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researcher

James Sharp

4 papers here

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedtestRNN: Coverage-guided Testing on Recurrent Neural Networks

5 citations · 10 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2021★ 3 cited

Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features

Nicolas Berthier, Amany Alshareef, James Sharp +2

Intensive research has been conducted on the verification and validation of deep neural networks (DNNs), aiming to understand if, and how, DNNs can be applied to safety critical ap…

cs.LG2020

A Safety Framework for Critical Systems Utilising Deep Neural Networks

Xingyu Zhao, Alec Banks, James Sharp +4

Increasingly sophisticated mathematical modelling processes from Machine Learning are being used to analyse complex data. However, the performance and explainability of these model…

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