| Inferring the effectiveness of government interventions against COVID-19 JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ... Science 371 (6531), 2021 | 1183 | 2021 |
| Turing: a language for flexible probabilistic inference H Ge, K Xu, Z Ghahramani Proceedings of the Twenty-First International Conference on Artificial …, 2018 | 546 | 2018 |
| Transcriptional data: a new gateway to drug repositioning? F Iorio, H Ge, T Rittman, M Menden, J Saez-Rodriguez Drug discovery today 18 (7), 350-357, 2013 | 307 | 2013 |
| The effectiveness of eight nonpharmaceutical interventions against COVID-19 in 41 countries JM Brauner, S Mindermann, M Sharma, AB Stephenson, T Gavenčiak, ... MedRxiv, 2020 | 136* | 2020 |
| Bayesian learning of sum-product networks M Trapp, R Peharz, H Ge, F Pernkopf, Z Ghahramani Advances in Neural Information Processing Systems, 6347-6358, 2019 | 66 | 2019 |
| Distributed Inference for Dirichlet Process Mixture Models H Ge, Y Chen, M Wang, Z Ghahramani The 32nd International Conference on Machine Learning, 2276-2284, 2015 | 52 | 2015 |
| AdvancedHMC.jl: A robust, modular and efficient implementation of advanced HMC algorithms K Xu, H Ge, W Tebbutt, M Tarek, M Trapp, Z Ghahramani Symposium on Advances in Approximate Bayesian Inference, 2019 | 48* | 2019 |
| A Bayesian model for calibrating conference review scores H Ge, M Welling, Z Ghahramani http://mlg.eng.cam.ac.uk/hong/unpublished/nips-review-model.pdf, 2013 | 36* | 2013 |
| Particle Gibbs for Infinite Hidden Markov Models N Tripuraneni, S Gu, H Ge, Z Ghahramani Advances in Neural Information Processing Systems, 2395-2403, 2015 | 28 | 2015 |
| Interoperability of statistical models in pandemic preparedness: principles and reality G Nicholson, M Blangiardo, M Briers, PJ Diggle, TE Fjelde, H Ge, ... Statistical Science 37 (2), 183-206, 2022 | 26 | 2022 |
| Turing.jl: a general-purpose probabilistic programming language TE Fjelde, K Xu, D Widmann, M Tarek, C Pfiffer, M Trapp, SD Axen, X Sun, ... ACM Transactions on Probabilistic Machine Learning, 2025 | 23 | 2025 |
| Couplings for Multinomial Hamiltonian Monte Carlo K Xu, TE Fjelde, C Sutton, H Ge International Conference on Artificial Intelligence and Statistics, 3646-3654, 2021 | 17 | 2021 |
| DynamicPPL: Stan-like speed for dynamic probabilistic models M Tarek, K Xu, M Trapp, H Ge, Z Ghahramani arXiv preprint arXiv:2002.02702, 2020 | 17* | 2020 |
| Multi-objective Bayesian optimization for design of Pareto-optimal current drive profiles in STEP T Brown, S Marsden, V Gopakumar, A Terenin, H Ge, F Casson IEEE Transactions on Plasma Science 52 (9), 3904-3909, 2024 | 7 | 2024 |
| Beyond intuition, a framework for applying GPs to real-world data K Tazi, JA Lin, R Viljoen, A Gardner, ST John, H Ge, RE Turner arXiv preprint arXiv:2307.03093, 2023 | 7 | 2023 |
| Numerically stable sparse gaussian processes via minimum separation using cover trees A Terenin, DR Burt, A Artemev, S Flaxman, M van der Wilk, ... Journal of Machine Learning Research 25 (26), 1-36, 2024 | 5 | 2024 |
| Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks W Chen, H Ge The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 3 | 2024 |
| State Space Model Programming in Turing.jl T Hargreaves, Q Li, C Knipp, F Wantiez, SJ Godsill, H Ge arXiv preprint arXiv:2505.23302, 2025 | 1 | 2025 |
| Towards more interpretable and robust geospatial modelling with Gaussian Processes K Tazi, JA Lin, AS Gardner, ST John, H Ge, RE Turner AGU Fall Meeting Abstracts 2023 (563), IN11C-0563, 2023 | 1 | 2023 |
| Efficient Parameter Inference for Lévy State Space Models Through GPU-Accelerated Particle MCMC T Hargreaves, BZ Lin, S Godsill, H Ge 2025 28th International Conference on Information Fusion (FUSION), 1-9, 2025 | | 2025 |
Zoubin GhahramaniProfessor, University of Cambridge, and VP of Research, Google DeepMindVerified email at eng.cam.ac.uk
