Παρακολούθηση
Hong Ge
Cambridge University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cam.ac.uk - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Inferring the effectiveness of government interventions against COVID-19
JM Brauner, S Mindermann, M Sharma, D Johnston, J Salvatier, ...
Science 371 (6531), 2021
10622021
Turing: a language for flexible probabilistic inference
H Ge, K Xu, Z Ghahramani
Proceedings of the Twenty-First International Conference on Artificial …, 2018
4452018
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
2852013
The effectiveness of eight nonpharmaceutical interventions against COVID-19 in 41 countries
JM Brauner, S Mindermann, M Sharma, AB Stephenson, T Gavenčiak, ...
MedRxiv, 2020
127*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
542019
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
462015
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
40*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http://mlg.eng.cam.ac.uk/hong/unpublished/nips-review-model.pdf, 2013
35*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
272015
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
202022
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
Couplings for Multinomial Hamiltonian Monte Carlo
K Xu, TE Fjelde, C Sutton, H Ge
International Conference on Artificial Intelligence and Statistics, 3646-3654, 2021
152021
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, 2024
42024
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
42023
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, 1-36, 2024
32024
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
12023
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
2024
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
K Xu, H Ge
Forty-first International Conference on Machine Learning, 2024
2024
Bayesian inference and neural estimation of acoustic wave propagation
Y Huang, Y He, H Ge
arXiv preprint arXiv:2305.17749, 2023
2023
Understanding Sparse Feature Updates in Deep Networks using Iterative Linearisation
A Goldwaser, H Ge
arXiv preprint arXiv:2211.12345, 2022
2022
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