| Variance reduction using nonreversible Langevin samplers AB Duncan, T Lelievre, GA Pavliotis Journal of statistical physics 163, 457-491, 2016 | 140 | 2016 |
| Measuring sample quality with diffusions J Gorham, AB Duncan, SJ Vollmer, L Mackey The Annals of Applied Probability 29 (5), 2884-2928, 2019 | 123 | 2019 |
| On the geometry of Stein variational gradient descent AB Duncan, N Nüsken, L Szpruch Journal of Machine Learning Research 24, 1-39, 2023 | 119 | 2023 |
| Minimum stein discrepancy estimators A Barp, FX Briol, A Duncan, M Girolami, L Mackey Advances in Neural Information Processing Systems 32, 2019 | 102 | 2019 |
| Noise-induced multistability in chemical systems: Discrete versus continuum modeling A Duncan, S Liao, T Vejchodský, R Erban, R Grima Physical Review E 91 (4), 042111, 2015 | 72 | 2015 |
| Statistical inference for generative models with maximum mean discrepancy FX Briol, A Barp, AB Duncan, M Girolami arXiv preprint arXiv:1906.05944, 2019 | 69 | 2019 |
| Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains J Bierkens, A Bouchard-Côté, A Doucet, AB Duncan, P Fearnhead, ... Statistics & Probability Letters 136, 148-154, 2018 | 63 | 2018 |
| The true cost of stochastic gradient Langevin dynamics T Nagapetyan, AB Duncan, L Hasenclever, SJ Vollmer, L Szpruch, ... arXiv preprint arXiv:1706.02692, 2017 | 62 | 2017 |
| A kernel two-sample test for functional data G Wynne, AB Duncan Journal of Machine Learning Research 23 (73), 1-51, 2022 | 53 | 2022 |
| The association between mechanical ventilator compatible bed occupancy and mortality risk in intensive care patients with COVID-19: a national retrospective cohort study H Wilde, T Mellan, I Hawryluk, JM Dennis, S Denaxas, C Pagel, A Duncan, ... BMC medicine 19, 1-12, 2021 | 52 | 2021 |
| Hospital bed capacity and usage across secondary healthcare providers in England during the first wave of the COVID-19 pandemic: a descriptive analysis BA Mateen, H Wilde, JM Dennis, A Duncan, N Thomas, A McGovern, ... BMJ open 11 (1), e042945, 2021 | 51* | 2021 |
| Hybrid framework for the simulation of stochastic chemical kinetics A Duncan, R Erban, K Zygalakis Journal of Computational Physics 326, 398-419, 2016 | 51 | 2016 |
| Using perturbed underdamped Langevin dynamics to efficiently sample from probability distributions AB Duncan, N Nüsken, GA Pavliotis Journal of Statistical Physics 169, 1098-1131, 2017 | 46 | 2017 |
| Limit theorems for the zig-zag process J Bierkens, A Duncan Advances in Applied Probability 49 (3), 791-825, 2017 | 45 | 2017 |
| Hierarchical Bayesian modeling for knowledge transfer across engineering fleets via multitask learning LA Bull, D Di Francesco, M Dhada, O Steinert, T Lindgren, AK Parlikad, ... Computer‐Aided Civil and Infrastructure Engineering 38 (7), 821-848, 2023 | 30* | 2023 |
| Ensemble inference methods for models with noisy and expensive likelihoods ORA Dunbar, AB Duncan, AM Stuart, MT Wolfram SIAM Journal on Applied Dynamical Systems 21 (2), 1539-1572, 2022 | 29 | 2022 |
| Nonreversible Langevin samplers: Splitting schemes, analysis and implementation AB Duncan, GA Pavliotis, KC Zygalakis arXiv preprint arXiv:1701.04247, 2017 | 23 | 2017 |
| Physics-constrained Bayesian inference of state functions in classical density-functional theory P Yatsyshin, S Kalliadasis, AB Duncan The Journal of Chemical Physics 156 (7), 2022 | 18 | 2022 |
| Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization S Si, C Oates, AB Duncan, L Carin, FX Briol arXiv preprint arXiv:2006.07487, 2020 | 18 | 2020 |
| Bayesian assessments of aeroengine performance with transfer learning P Seshadri, AB Duncan, G Thorne, G Parks, RV Diaz, M Girolami Data-Centric Engineering 3, e29, 2022 | 15 | 2022 |
