Seasonal Arctic sea ice forecasting with probabilistic deep learning TR Andersson, JS Hosking, M Pérez-Ortiz, B Paige, A Elliott, C Russell, ... Nature communications 12 (1), 5124, 2021 | 175 | 2021 |
Explaining classifiers using adversarial perturbations on the perceptual ball A Elliott, S Law, C Russell Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 37* | 2021 |
Core–periphery structure in directed networks A Elliott, A Chiu, M Bazzi, G Reinert, M Cucuringu Proceedings of the Royal Society A 476 (2241), 20190783, 2020 | 34 | 2020 |
TAPAS: a Toolbox for Adversarial Privacy Auditing of Synthetic Data F Houssiau, J Jordon, SN Cohen, O Daniel, A Elliott, J Geddes, C Mole, ... NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 31 | 2022 |
Anomaly detection in networks with application to financial transaction networks A Elliott, M Cucuringu, MM Luaces, P Reidy, G Reinert arXiv preprint arXiv:1901.00402, 2019 | 26 | 2019 |
Seasonal Arctic sea ice forecasting with probabilistic deep learning, Nat. Commun., 12, 5124 TR Andersson, JS Hosking, M Pérez-Ortiz, B Paige, A Elliott, C Russell, ... | 16 | 2021 |
Motif-based spectral clustering of weighted directed networks WG Underwood, A Elliott, M Cucuringu Applied Network Science 5 (1), 1-41, 2020 | 16 | 2020 |
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation S Limnios, P Selvaraj, M Cucuringu, C Maple, G Reinert, A Elliott arXiv preprint arXiv:2306.16827, 2023 | 7 | 2023 |
Where's the Cash? The Geography of Cash Points in Tanzania I Mas, A Elliott The Geography of Cash Points in Tanzania (November 11, 2014). FSDT Focus Note, 2013 | 7 | 2013 |
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series J Clarkson, M Cucuringu, A Elliott, G Reinert Learning on Graphs Conference, 2022 | 6 | 2022 |
Counterfactual Fairness in Synthetic Data Generation M Abroshan, MM Khalili, A Elliott NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 6 | 2022 |
A nonparametric significance test for sampled networks A Elliott, E Leicht, A Whitmore, G Reinert, F Reed-Tsochas Bioinformatics 34 (1), 64-71, 2018 | 6 | 2018 |
Anomaly detection in networks using spectral methods and network comparison approaches A Elliott, PRMM Luaces, M Cucuringu, G Reinert arXiv preprint arXiv:1901.00402, 2019 | 4 | 2019 |
Random Walk based Conditional Generative Model for Temporal Networks with Attributes S Limnios, A Elliott, M Cucuringu, G Reinert NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 3 | 2022 |
Deep learning for monthly Arctic sea ice concentration prediction T Andersson, F Agocs, S Hosking, M Pérez-Ortiz, B Paige, C Russell, ... EGU General Assembly Conference Abstracts, 15481, 2020 | 2 | 2020 |
Explaining holistic image regressors and classifiers in urban analytics with plausible counterfactuals S Law, R Hasegawa, B Paige, C Russell, A Elliott International Journal of Geographical Information Science, 1-22, 2023 | 1 | 2023 |
Imposing Fairness Constraints in Synthetic Data Generation M Abroshan, A Elliott, MM Khalili International Conference on Artificial Intelligence and Statistics, 2269-2277, 2024 | | 2024 |
L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders R Ouyang, A Elliott, S Limnios, M Cucuringu, G Reinert International Conference on Complex Networks and Their Applications, 400-412, 2023 | | 2023 |
Agent swarms: cooperation and coordination under stringent communications constraint P Kinsler, S Holman, A Elliott, CN Mitchell, RE Wilson arXiv preprint arXiv:2210.01163, 2022 | | 2022 |
A daily to seasonal Arctic sea ice forecasting AI TR Andersson, JS Hosking, E Krige, M Pérez-Ortiz, B Paige, A Elliott, ... EGU21, 2021 | | 2021 |