Catherine F. Higham

16 papers A* 2Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Actively Inferring Optimal Measurement Sequences. CoRR Catherine F. Higham, Paul Henderson, Roderick Murray-Smith
2025	—	`conf`	Deceptive Diffusion: Generating Synthetic Adversarial Examples. SSVM (1) Lucas Beerens, Catherine F. Higham, Desmond J. Higham
2025	J	`jnl`	Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians. SIAM Rev. Catherine F. Higham, Desmond J. Higham, Peter Grindrod
2024	J	`jnl`	Deceptive Diffusion: Generating Synthetic Adversarial Examples. CoRR Lucas Beerens, Catherine F. Higham, Desmond J. Higham
2023	J	`jnl`	Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians. CoRR Catherine F. Higham, Desmond J. Higham, Peter Grindrod
2022	A*	`conf`	Core-periphery Partitioning and Quantum Annealing. KDD Catherine F. Higham, Desmond J. Higham, Francesco Tudisco
2022	J	`jnl`	Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer. CoRR Catherine F. Higham, Desmond J. Higham, Francesco Tudisco
2021	J	`jnl`	Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer. CoRR Catherine F. Higham, Adrian Bedford
2020	J	`jnl`	Deep Learnability: Using Neural Networks to Quantify Language Similarity and Learnability. Frontiers Artif. Intell. Clara Cohen, Catherine F. Higham, Syed Waqar Nabi
2019	J	`jnl`	Deep Learning: An Introduction for Applied Mathematicians. SIAM Rev. Catherine F. Higham, Desmond J. Higham
2018	J	`jnl`	Deep Learning: An Introduction for Applied Mathematicians. CoRR Catherine F. Higham, Desmond J. Higham
2017	J	`jnl`	Neural network identification of people hidden from view with a single-pixel, single-photon detector. CoRR Piergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek, Matthias B. Hullin, Catherine F. Higham, Robert Henderson, Roderick Murray-Smith, Daniele Faccio
2015	A*	`conf`	Controversy in mechanistic modelling with Gaussian processes. ICML Benn Macdonald, Catherine F. Higham, Dirk Husmeier
2015	—	`conf`	Inference of Circadian Regulatory Pathways Based on Delay Differential Equations. IWBBIO (2) Catherine F. Higham, Dirk Husmeier
2013	J	`jnl`	A Bayesian approach for parameter estimation in the extended clock gene circuit of Arabidopsis thaliana. BMC Bioinform. Catherine F. Higham, Dirk Husmeier
2009	J	`jnl`	Bifurcation analysis informs Bayesian inference in the Hes1 feedback loop. BMC Syst. Biol. Catherine F. Higham