| The geometric foundations of hamiltonian monte carlo M Betancourt, S Byrne, S Livingstone, M Girolami Bernoulli, 2257-2298, 2017 | 261 | 2017 |
| Langevin diffusions and the Metropolis-adjusted Langevin algorithm T Xifara, C Sherlock, S Livingstone, S Byrne, M Girolami Statistics & Probability Letters 91, 14-19, 2014 | 199 | 2014 |
| Geodesic Monte Carlo on embedded manifolds S Byrne, M Girolami Scandinavian Journal of Statistics 40 (4), 825-845, 2013 | 197 | 2013 |
| On the geometric ergodicity of Hamiltonian Monte Carlo S Livingstone, M Betancourt, S Byrne, M Girolami Bernoulli 25 (4A), 3109-3138, 2019 | 186 | 2019 |
| Distributions. jl: Definition and modeling of probability distributions in the JuliaStats ecosystem M Besançon, T Papamarkou, D Anthoff, A Arslan, S Byrne, D Lin, ... Journal of Statistical Software 98, 1-30, 2021 | 129 | 2021 |
| Optimizing the integrator step size for Hamiltonian Monte Carlo MJ Betancourt, S Byrne, M Girolami arXiv preprint arXiv:1411.6669, 2014 | 105 | 2014 |
| MPI. jl: Julia bindings for the Message Passing Interface S Byrne, LC Wilcox, V Churavy Proceedings of the JuliaCon Conferences 1 (1), 68, 2021 | 89 | 2021 |
| Accelerated predictive healthcare analytics with pumas, a high performance pharmaceutical modeling and simulation platform C Rackauckas, Y Ma, A Noack, V Dixit, PK Mogensen, S Byrne, ... BioRxiv, 2020.11. 28.402297, 2020 | 77 | 2020 |
| A note on the use of empirical AUC for evaluating probabilistic forecasts S Byrne | 46 | 2016 |
| Generative data assimilation of sparse weather station observations at kilometer scales P Manshausen, Y Cohen, P Harrington, J Pathak, M Pritchard, P Garg, ... Journal of Advances in Modeling Earth Systems 17 (10), e2024MS004505, 2025 | 23 | 2025 |
| Large-eddy simulations with ClimateMachine v0. 2.0: a new open-source code for atmospheric simulations on GPUs and CPUs A Sridhar, Y Tissaoui, S Marras, Z Shen, C Kawczynski, S Byrne, ... Geoscientific Model Development 15 (15), 6259-6284, 2022 | 21 | 2022 |
| Structural Markov graph laws for Bayesian model uncertainty S Byrne, AP Dawid | 21 | 2015 |
| JuliaGPU/KernelAbstractions. jl: v0. 8.3 V Churavy, D Aluthge, LC Wilcox, J Schloss, S Byrne, M Waruszewski, ... Zenodo, 2022 | 17 | 2022 |
| The flux‐differencing discontinuous galerkin method applied to an idealized fully compressible nonhydrostatic dry atmosphere AN Souza, J He, T Bischoff, M Waruszewski, L Novak, V Barra, T Gibson, ... Journal of Advances in Modeling Earth Systems 15 (4), e2022MS003527, 2023 | 13 | 2023 |
| Distributions. jl: Definition and modeling of probability distributions in the juliastats ecosystem. arXiv e-prints M Besançon, D Anthoff, A Arslan, S Byrne, D Lin, T Papamarkou, ... arXiv preprint arXiv:1907.08611 24, 2019 | 13 | 2019 |
| JuliaNLSolvers/NLsolve. jl: v4. 5.1 PK Mogensen, K Carlsson, S Villemot, S Lyon, M Gomez, C Rackauckas, ... Aug, 2020 | 12 | 2020 |
| JuliaStats/Distributions. jl: a Julia package for probability distributions and associated functions D Lin, JM White, S Byrne, D Bates, A Noack, J Pearson, A Arslan, ... Zenodo, 2019 | 12 | 2019 |
| MPI application binary interface standardization J Hammond, L Dalcin, E Schnetter, M Pérache, JB Besnard, J Brown, ... Proceedings of the 30th European MPI Users' Group Meeting, 1-12, 2023 | 10 | 2023 |
| benneti, and Miguel Raz Guzmán Macedo PK Mogensen, K Carlsson, S Villemot, S Lyon, M Gomez, C Rackauckas, ... Julianlsolvers/nlsolve. jl: v4 5, 2020 | 10 | 2020 |
| Generative data assimilation of sparse weather station observations at kilometer scales, 2025 P Manshausen, Y Cohen, P Harrington, J Pathak, M Pritchard, P Garg, ... URL https://arxiv. org/abs/2406.16947 2406, 0 | 7 | |
