| Unbiased and consistent nested sampling via sequential Monte Carlo R Salomone, LF South, AM Johansen, C Drovandi, DP Kroese arXiv preprint arXiv:1805.03924, 2018 | 37 | 2018 |
| The reproducing Stein kernel approach for post-hoc corrected sampling L Hodgkinson, R Salomone, F Roosta arXiv preprint arXiv:2001.09266, 2020 | 36 | 2020 |
| Spectral subsampling MCMC for stationary time series R Salomone, M Quiroz, R Kohn, M Villani, MN Tran International Conference on Machine Learning, 8449-8458, 2020 | 19 | 2020 |
| Fast and accurate computation of the distribution of sums of dependent log-normals ZI Botev, R Salomone, D Mackinlay Annals of Operations Research 280 (1), 19-46, 2019 | 19* | 2019 |
| Implicit Langevin algorithms for sampling from log-concave densities L Hodgkinson, R Salomone, F Roosta Journal of Machine Learning Research 22 (136), 1-30, 2021 | 15 | 2021 |
| Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation X Wang, AL Jenner, R Salomone, DJ Warne, C Drovandi Journal of Mathematical Biology 88 (3), 28, 2024 | 13* | 2024 |
| Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics JJ Bon, A Bretherton, K Buchhorn, S Cramb, C Drovandi, C Hassan, ... Philosophical Transactions of the Royal Society A 381 (2247), 20220156, 2023 | 13 | 2023 |
| Spectral subsampling MCMC for stationary multivariate time series with applications to vector ARTFIMA processes M Villani, M Quiroz, R Kohn, R Salomone Econometrics and Statistics 32, 98-121, 2024 | 9* | 2024 |
| The interpolating information criterion for overparameterized models L Hodgkinson, C van der Heide, R Salomone, F Roosta, MW Mahoney arXiv preprint arXiv:2307.07785, 2023 | 9 | 2023 |
| Monte Carlo estimation of the density of the sum of dependent random variables PJ Laub, R Salomone, ZI Botev Mathematics and Computers in Simulation 161, 23-31, 2019 | 9 | 2019 |
| Estimating the number of vertices in convex polytopes R Salomone, R Vaisman, DP Kroese Proceedings of the International Conference on Operations Research and …, 2016 | 8 | 2016 |
| Graph neural network-based anomaly detection for river network systems B Katie, E Santos-Fernandez, M Kerrie, R Salomone F1000Research 12, 2024 | 5* | 2024 |
| Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis C Hassan, R Salomone, K Mengersen arXiv preprint arXiv:2307.15424, 2023 | 5 | 2023 |
| Federated Variational Inference Methods for Structured Latent Variable Models C Hassan, R Salomone, K Mengersen arXiv preprint arXiv:2302.03314, 2023 | 4 | 2023 |
| Continuously-Tempered PDMP Samplers M Sutton, R Salomone, A Chevallier, P Fearnhead Advances in Neural Information Processing Systems 35, 28293--28304, 2022 | 3 | 2022 |
| Structured variational approximations with skew normal decomposable graphical models and implicit copulas R Salomone, X Yu, DJ Nott, R Kohn Journal of Computational and Graphical Statistics, 1-10, 2024 | 2* | 2024 |
| Transport Reversible Jump Proposals L Davies, R Salomone, M Sutton, C Drovandi Proceedings of The 26th International Conference on Artificial Intelligence …, 2023 | 1 | 2023 |
| Leveraging uncertainty quantification to optimise CRISPR guide RNA selection C Schmitz, J Bradford, R Salomone, D Perrin bioRxiv, 2024.02. 01.578527, 2024 | | 2024 |
| Fast and scalable off-target assessment for CRISPR guide RNAs using partial matches C Schmitz, J Bradford, R Salomone, D Perrin bioRxiv, 2024.02. 01.578509, 2024 | | 2024 |
| A PAC-Bayesian Perspective on the Interpolating Information Criterion L Hodgkinson, C van der Heide, R Salomone, F Roosta, MW Mahoney NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 2023 | | 2023 |
Fred RoostaUniversity of QueenslandVerified email at uq.edu.au