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ORCIDCatherine F. Higham
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Journal Articles
- 2020
[j4]Clara Cohen, Catherine F. Higham, Syed Waqar Nabi
:
Deep Learnability: Using Neural Networks to Quantify Language Similarity and Learnability. Frontiers Artif. Intell. 3: 43 (2020)- 2019
- [j3]Catherine F. Higham, Desmond J. Higham:
Deep Learning: An Introduction for Applied Mathematicians. SIAM Rev. 61(4): 860-891 (2019) - 2013
- [j2]Catherine F. Higham, Dirk Husmeier:
A Bayesian approach for parameter estimation in the extended clock gene circuit of Arabidopsis thaliana. BMC Bioinform. 14(S-10): S3 (2013) - 2009
- [j1]Catherine F. Higham:
Bifurcation analysis informs Bayesian inference in the Hes1 feedback loop. BMC Syst. Biol. 3: 12 (2009)
Conference and Workshop Papers
- 2022
- [c3]Catherine F. Higham, Desmond J. Higham, Francesco Tudisco:
Core-periphery Partitioning and Quantum Annealing. KDD 2022: 565-573 - 2015
- [c2]Benn Macdonald, Catherine F. Higham, Dirk Husmeier:
Controversy in mechanistic modelling with Gaussian processes. ICML 2015: 1539-1547 - [c1]Catherine F. Higham, Dirk Husmeier:
Inference of Circadian Regulatory Pathways Based on Delay Differential Equations. IWBBIO (2) 2015: 468-478
Informal and Other Publications
- 2024
- [i6]Lucas Beerens, Catherine F. Higham, Desmond J. Higham:
Deceptive Diffusion: Generating Synthetic Adversarial Examples. CoRR abs/2406.19807 (2024) - 2023
- [i5]Catherine F. Higham, Desmond J. Higham, Peter Grindrod:
Diffusion Models for Generative Artificial Intelligence: An Introduction for Applied Mathematicians. CoRR abs/2312.14977 (2023) - 2022
- [i4]Catherine F. Higham, Desmond J. Higham, Francesco Tudisco:
Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer. CoRR abs/2201.01543 (2022) - 2021
- [i3]Catherine F. Higham, Adrian Bedford:
Quantum Deep Learning: Sampling Neural Nets with a Quantum Annealer. CoRR abs/2107.08710 (2021) - 2018
- [i2]Catherine F. Higham, Desmond J. Higham:
Deep Learning: An Introduction for Applied Mathematicians. CoRR abs/1801.05894 (2018) - 2017
- [i1]Piergiorgio Caramazza, Alessandro Boccolini, Daniel Buschek, Matthias B. Hullin, Catherine F. Higham, Robert Henderson, Roderick Murray-Smith, Daniele Faccio:
Neural network identification of people hidden from view with a single-pixel, single-photon detector. CoRR abs/1709.07244 (2017)
Coauthor Index
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