| Inferring the effectiveness of government interventions against COVID-19 JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ... Science 371 (6531), 2021 | 878 | 2021 |
| Turing: a language for flexible probabilistic inference H Ge, K Xu, Z Ghahramani Proceedings of the Twenty-First International Conference on Artificial …, 2018 | 353 | 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 | 254 | 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 | 113* | 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 | 43 | 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 | 43 | 2015 |
| A Bayesian model for calibrating conference review scores H Ge, M Welling, Z Ghahramani http://mlg.eng.cam.ac.uk/hong/unpublished/nips-review-model.pdf, 2013 | 30* | 2013 |
| 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 | 28* | 2019 |
| Particle Gibbs for Infinite Hidden Markov Models N Tripuraneni, S Gu, H Ge, Z Ghahramani Advances in Neural Information Processing Systems, 2395-2403, 2015 | 25 | 2015 |
| DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models M Tarek, K Xu, M Trapp, H Ge, Z Ghahramani arXiv preprint arXiv:2002.02702, 2020 | 16* | 2020 |
| 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 | 15 | 2022 |
| Couplings for Multinomial Hamiltonian Monte Carlo K Xu, TE Fjelde, C Sutton, H Ge International Conference on Artificial Intelligence and Statistics, 3646-3654, 2021 | 8 | 2021 |
| Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees A Terenin, DR Burt, A Artemev, S Flaxman, M van der Wilk, ... arXiv preprint arXiv:2210.07893, 2022 | 2 | 2022 |
| Beyond Intuition, a Framework for Applying GPs to Real-World Data K Tazi, JA Lin, R Viljoen, A Gardner, T John, H Ge, RE Turner arXiv preprint arXiv:2307.03093, 2023 | 1 | 2023 |
| Multi-objective Bayesian optimisation for design of Pareto-optimal current drive profiles in STEP T Brown, S Marsden, V Gopakumar, A Terenin, H Ge, F Casson arXiv preprint arXiv:2310.02669, 2023 | | 2023 |
| Bayesian inference and neural estimation of acoustic wave propagation Y Huang, Y He, H Ge arXiv preprint arXiv:2305.17749, 2023 | | 2023 |
| Neural Characteristic Activation Value Analysis for Improved ReLU Network Feature Learning W Chen, H Ge arXiv preprint arXiv:2305.15912, 2023 | | 2023 |
| Understanding Sparse Feature Updates in Deep Networks using Iterative Linearisation A Goldwaser, H Ge arXiv preprint arXiv:2211.12345, 2022 | | 2022 |
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
