Dr Andrew Elliott
- Senior Lecturer (Statistics)
Publications
2026
Zheng, Weiyue ORCID: https://orcid.org/0009-0002-5397-4311, Elliott, Andrew
ORCID: https://orcid.org/0000-0002-4536-5244, Miller, Claire
ORCID: https://orcid.org/0000-0002-1857-4454 and Scott, Marian
ORCID: https://orcid.org/0000-0002-3709-0623
(2026)
A Bayesian INLA-SPDE approach to spatio-temporal point-grid fusion with change-of-support and misaligned covariates.
Spatial Statistics, 74,
100998.
(doi: 10.1016/j.spasta.2026.100998)
Aminian, G. et al. (2026) FraudTransformer: Time-Aware GPT for Transaction Fraud Detection. In: IEEE Conference on Artificial Intelligence 2026, Granada, Spain, 08-10 May 2026, pp. 850-856. ISBN 9798331560409 (doi: 10.1109/CAI68641.2026.11536152)
2025
Adams, James M., Reinert, Gesine, Szpruch, Lukasz, Maple, Carsten and Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244
(2025)
Individualised Counterfactual Examples Using Conformal Prediction Intervals.
In: 14th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2025), Royal Holloway University of London Egham, UK, 10-12 September 2025,
pp. 425-444.
2024
Kinsler, Paul, Holman, Sean, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Mitchell, Cathryn N. and Wilson, R. Eddie
(2024)
Agent swarms: cooperation and coordination under stringent communications constraint.
PLoS ONE, 19(12),
e0311513.
(doi: 10.1371/journal.pone.0311513)
(PMID:39661582)
(PMCID:PMC11633978)
Abroshan, Mahed, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244 and Khalili, Mohammad Mahdi
(2024)
Imposing Fairness Constraints in Synthetic Data Generation.
In: 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain, 2-4 May 2024,
pp. 2269-2277.
Ouyang, Ruikang, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Limnios, Stratis, Cucuringu, Mihai and Reinert, Gesine
(2024)
L2G2G: A scalable local-to-global network embedding with graph autoencoders.
In:
Complex Networks 2023.
Series: Studies in computational intelligence (1141).
Springer.
(Accepted for Publication)
2023
Law, Stephen, Hasegawa, Rikuo, Paige, Brooks, Russell, Chris and Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244
(2023)
Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals.
International Journal of Geographical Information Science, 37,
pp. 2575-2596.
(doi: 10.1080/13658816.2023.2214592)
2022
Houssiau, Florimond, Jordon, James, Cohen, Samuel, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Geddes, James, Mole, Callum, Rangel-Smith, Camila and Szpruch, Lukasz
(2022)
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data.
NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, New Orleans, Louisiana, United States, 2 December 2022.
Limnios, Stratis, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Cucuringu, Mihai and Reinert, Gesine D.
(2022)
Random Walk based Conditional Generative Model for Temporal Networks with Attributes.
NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, New Orleans, Louisiana, United States, 2 December 2022.
Clarkson, Jase, Cucuringu, Mihai, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244 and Reinert, Gesine
(2022)
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.
In: LOG 2022 Learning on Graphs Conference, 9-12 December 2022,
2021
Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Law, Stephen and Russell, Chris
(2021)
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball.
In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11-17 Oct 2021,
pp. 10688-10697.
(doi: 10.1109/CVPR46437.2021.01055)
Andersson, T. R. et al. (2021) Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nature Communications, 12, 5124. (doi: 10.1038/s41467-021-25257-4) (PMID:34446701) (PMCID:PMC8390499)
2020
Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Chiu, Angus, Bazzi, Marya, Reinert, Gesine and Cucuringu, Mihai
(2020)
Core–periphery structure in directed networks.
Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences, 476(2241),
20190783.
(doi: 10.1098/rspa.2019.0783)
(PMID:33061788)
(PMCID:PMC7544362)
Underwood, William G., Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244 and Cucuringu, Mihai
(2020)
Motif-based spectral clustering of weighted directed networks.
Applied Network Science, 5,
62.
(doi: 10.1007/s41109-020-00293-z)
2018
Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Leicht, Elizabeth, Whitmore, Alan, Reinert, Gesine and Reed-Tsochas, Felix
(2018)
A nonparametric significance test for sampled networks.
Bioinformatics, 34(1),
pp. 64-71.
(doi: 10.1093/bioinformatics/btx419)
(PMID:29036452)
(PMCID:PMC5870844)
2014
Mas, Ignacio and Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244
(2014)
Where's the Cash? The Geography of Cash Points in Tanzania.
Discussion Paper.
Financial Sector Deepening Trust, Dar es Salaam, Tanzania.
Articles
Zheng, Weiyue ORCID: https://orcid.org/0009-0002-5397-4311, Elliott, Andrew
ORCID: https://orcid.org/0000-0002-4536-5244, Miller, Claire
ORCID: https://orcid.org/0000-0002-1857-4454 and Scott, Marian
ORCID: https://orcid.org/0000-0002-3709-0623
(2026)
A Bayesian INLA-SPDE approach to spatio-temporal point-grid fusion with change-of-support and misaligned covariates.
Spatial Statistics, 74,
100998.
(doi: 10.1016/j.spasta.2026.100998)
Kinsler, Paul, Holman, Sean, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Mitchell, Cathryn N. and Wilson, R. Eddie
(2024)
Agent swarms: cooperation and coordination under stringent communications constraint.
PLoS ONE, 19(12),
e0311513.
(doi: 10.1371/journal.pone.0311513)
(PMID:39661582)
(PMCID:PMC11633978)
Law, Stephen, Hasegawa, Rikuo, Paige, Brooks, Russell, Chris and Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244
(2023)
Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals.
International Journal of Geographical Information Science, 37,
pp. 2575-2596.
(doi: 10.1080/13658816.2023.2214592)
Andersson, T. R. et al. (2021) Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nature Communications, 12, 5124. (doi: 10.1038/s41467-021-25257-4) (PMID:34446701) (PMCID:PMC8390499)
Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Chiu, Angus, Bazzi, Marya, Reinert, Gesine and Cucuringu, Mihai
(2020)
Core–periphery structure in directed networks.
Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences, 476(2241),
20190783.
(doi: 10.1098/rspa.2019.0783)
(PMID:33061788)
(PMCID:PMC7544362)
Underwood, William G., Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244 and Cucuringu, Mihai
(2020)
Motif-based spectral clustering of weighted directed networks.
Applied Network Science, 5,
62.
(doi: 10.1007/s41109-020-00293-z)
Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Leicht, Elizabeth, Whitmore, Alan, Reinert, Gesine and Reed-Tsochas, Felix
(2018)
A nonparametric significance test for sampled networks.
Bioinformatics, 34(1),
pp. 64-71.
(doi: 10.1093/bioinformatics/btx419)
(PMID:29036452)
(PMCID:PMC5870844)
Book Sections
Ouyang, Ruikang, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Limnios, Stratis, Cucuringu, Mihai and Reinert, Gesine
(2024)
L2G2G: A scalable local-to-global network embedding with graph autoencoders.
In:
Complex Networks 2023.
Series: Studies in computational intelligence (1141).
Springer.
(Accepted for Publication)
Research Reports or Papers
Mas, Ignacio and Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244
(2014)
Where's the Cash? The Geography of Cash Points in Tanzania.
Discussion Paper.
Financial Sector Deepening Trust, Dar es Salaam, Tanzania.
Conference or Workshop Item
Houssiau, Florimond, Jordon, James, Cohen, Samuel, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Geddes, James, Mole, Callum, Rangel-Smith, Camila and Szpruch, Lukasz
(2022)
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data.
NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, New Orleans, Louisiana, United States, 2 December 2022.
Limnios, Stratis, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Cucuringu, Mihai and Reinert, Gesine D.
(2022)
Random Walk based Conditional Generative Model for Temporal Networks with Attributes.
NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, New Orleans, Louisiana, United States, 2 December 2022.
Conference Proceedings
Aminian, G. et al. (2026) FraudTransformer: Time-Aware GPT for Transaction Fraud Detection. In: IEEE Conference on Artificial Intelligence 2026, Granada, Spain, 08-10 May 2026, pp. 850-856. ISBN 9798331560409 (doi: 10.1109/CAI68641.2026.11536152)
Adams, James M., Reinert, Gesine, Szpruch, Lukasz, Maple, Carsten and Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244
(2025)
Individualised Counterfactual Examples Using Conformal Prediction Intervals.
In: 14th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2025), Royal Holloway University of London Egham, UK, 10-12 September 2025,
pp. 425-444.
Abroshan, Mahed, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244 and Khalili, Mohammad Mahdi
(2024)
Imposing Fairness Constraints in Synthetic Data Generation.
In: 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain, 2-4 May 2024,
pp. 2269-2277.
Clarkson, Jase, Cucuringu, Mihai, Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244 and Reinert, Gesine
(2022)
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.
In: LOG 2022 Learning on Graphs Conference, 9-12 December 2022,
Elliott, Andrew ORCID: https://orcid.org/0000-0002-4536-5244, Law, Stephen and Russell, Chris
(2021)
Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball.
In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11-17 Oct 2021,
pp. 10688-10697.
(doi: 10.1109/CVPR46437.2021.01055)
Supervision
- Wansbrough, Aidan
Exploring Hybrid Flood modelling leveraging GPU/Exascale computing - ZHAO, ZHENGDUO
STATISTICAL EMULATION AND UNCERTAINTY QUANTIFICATION FOR CARDIO-MECHANIC AND CARDIO-VASCULAR DISEASE MODELLING
