| Inferring the effectiveness of government interventions against COVID-19 JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ... Science 371 (6531), 2021 | 509 | 2021 |
| 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 | 213 | 2013 |
| Turing: a language for flexible probabilistic inference H Ge, K Xu, Z Ghahramani Proceedings of the Twenty-First International Conference on Artificial …, 2018 | 152 | 2018 |
| The effectiveness of eight nonpharmaceutical interventions against COVID-19 in 41 countries JM Brauner, S Mindermann, M Sharma, AB Stephenson, T Gavenčiak, ... MedRxiv, 2020 | 52 | 2020 |
| 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 | 38 | 2015 |
| 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 | 24 | 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 | 22 | 2015 |
| Turing: Composable inference for probabilistic programming. H Ge, K Xu, Z Ghahramani AISTATS 84, 1682-1690, 2018 | 20 | 2018 |
| A Bayesian model for calibrating conference review scores H Ge, M Welling, Z Ghahramani http://mlg.eng.cam.ac.uk/hong/unpublished/nips-review-model.pdf, 2013 | 17 | 2013 |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 | 5 | 2019 |
| Interoperability of statistical models in pandemic preparedness: principles and reality G Nicholson, M Blangiardo, M Briers, PJ Diggle, TE Fjelde, H Ge, ... arXiv preprint arXiv:2109.13730, 2021 | 3 | 2021 |
| Couplings for Multinomial Hamiltonian Monte Carlo K Xu, TE Fjelde, C Sutton, H Ge International Conference on Artificial Intelligence and Statistics, 3646-3654, 2021 | 3 | 2021 |
| Sampling and inference for discrete random probability measures in probabilistic programs B Bloem-Reddy, E Mathieu, A Foster, T Rainforth, YW Teh, H Ge, ... NIPS Workshop on Advances in Approximate Bayesian Inference, 2017 | 3 | 2017 |
| Graph Tracking in Dynamic Probabilistic Programs via Source Transformations P Gabler, M Trapp, H Ge, F Pernkopf Symposium on Advances in Approximate Bayesian Inference, 2019 | 2 | 2019 |
| DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models M Tarek, K Xu, M Trapp, H Ge, Z Ghahramani PROBPROG 2020, 2020 | 1 | 2020 |
| Bijectors.jl: Flexible transformations for probability distributions TE Fjelde, K Xu, M Tarek, S Yalburgi, H Ge Symposium on Advances in Approximate Bayesian Inference, 2019 | | 2019 |
| Dirichlet Fragmentation Processes H Ge, Y Gal, Z Ghahramani arXiv preprint arXiv:1509.04781, 2015 | | 2015 |
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
