Catherine F. Higham

According to our database, Catherine F. Higham authored at least 11 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

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

CoRR, 2023

2022

Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer.

Catherine F. Higham, Desmond J. Higham, Francesco Tudisco

CoRR, 2022

Core-periphery Partitioning and Quantum Annealing.

Catherine F. Higham, Desmond J. Higham, Francesco Tudisco

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer.

Catherine F. Higham, Adrian Bedford

CoRR, 2021

2020

Deep Learnability: Using Neural Networks to Quantify Language Similarity and Learnability.

Clara Cohen, Catherine F. Higham, Syed Waqar Nabi

Frontiers Artif. Intell., 2020

2019

Deep Learning: An Introduction for Applied Mathematicians.

Catherine F. Higham, Desmond J. Higham

SIAM Rev., 2019

2017

Neural network identification of people hidden from view with a single-pixel, single-photon detector.

Piergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek, Matthias B. Hullin, Catherine F. Higham, Robert Henderson, Roderick Murray-Smith, Daniele Faccio

CoRR, 2017

2015

Inference of Circadian Regulatory Pathways Based on Delay Differential Equations.

Catherine F. Higham, Dirk Husmeier

Proceedings of the Bioinformatics and Biomedical Engineering, 2015

Controversy in mechanistic modelling with Gaussian processes.

Benn Macdonald, Catherine F. Higham, Dirk Husmeier

Proceedings of the 32nd International Conference on Machine Learning, 2015

2013

A Bayesian approach for parameter estimation in the extended clock gene circuit of Arabidopsis thaliana.

Catherine F. Higham, Dirk Husmeier

BMC Bioinform., 2013

2009

Bifurcation analysis informs Bayesian inference in the Hes1 feedback loop.

Catherine F. Higham

BMC Syst. Biol., 2009