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researcher

Catherine F. Higham

8 papers hereh-index 111.1k citations38 works total

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

author position
  • first author4
  • middle author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CV1
  • cs.SI1
  • physics.comp-ph1
  • physics.optics1
  • quant-ph1

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedDiffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians

3 citations · 5 across the 7 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2025

Actively Inferring Optimal Measurement Sequences

Catherine F. Higham, Paul Henderson, Roderick Murray-Smith

Measurement of a physical quantity such as light intensity is an integral part of many reconstruction and decision scenarios but can be costly in terms of acquisition time, invasio…

cs.LG2024

Deceptive Diffusion: Generating Synthetic Adversarial Examples

Lucas Beerens, Catherine F. Higham, Desmond J. Higham

We introduce the concept of deceptive diffusion -- training a generative AI model to produce adversarial images. Whereas a traditional adversarial attack algorithm aims to perturb…

cs.LG2023★ 3 cited

Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians

Catherine F. Higham, Desmond J. Higham, Peter Grindrod

Generative artificial intelligence (AI) refers to algorithms that create synthetic but realistic output. Diffusion models currently offer state of the art performance in generative…

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