Alexandre Thiery
Alexandre Thiery
Associate Professor, National University of Singapore (NUS)
Verified email at - Homepage
Cited by
Cited by
Consistency and fluctuations for stochastic gradient Langevin dynamics
Y Whye Teh, A Thiéry, S Vollmer
Journal of Machine Learning Research 17 (7), 1−33, 2016
On the efficiency of pseudo-marginal random walk Metropolis algorithms
C Sherlock, AH Thiery, GO Roberts, JS Rosenthal
Annals of Statistics 43 (1), 238-275, 2015
Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions
NS Pillai, AM Stuart, AH Thiéry
Annals of Applied Probability 22 (6), 2320-2356, 2012
On the convergence of adaptive sequential Monte Carlo methods
A Beskos, A Jasra, N Kantas, A Thiery
Annals of Applied Probability 26 (2), 1111-1146, 2016
DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images
SK Devalla, PK Renukanand, BK Sreedhar, G Subramanian, L Zhang, ...
Biomedical optics express 9 (7), 3244-3265, 2018
On non-negative unbiased estimators
PE Jacob, AH Thiery
The Annals of Statistics 43 (2), 769--784, 2015
A deep learning approach to digitally stain optical coherence tomography images of the optic nerve head
SK Devalla, KS Chin, JM Mari, TA Tun, NG Strouthidis, T Aung, AH Thiéry, ...
Investigative ophthalmology & visual science 59 (1), 63-74, 2018
A deep learning approach to denoise optical coherence tomography images of the optic nerve head
SK Devalla, G Subramanian, TH Pham, X Wang, S Perera, TA Tun, ...
Scientific reports 9 (1), 1-13, 2019
Probabilistic forecasting of day-ahead solar irradiance using quantile gradient boosting
H Verbois, A Rusydi, A Thiery
Solar Energy 173, 313-327, 2018
Noisy gradient flow from a random walk in Hilbert space
NS Pillai, AM Stuart, AH Thiéry
Stochastic Partial Differential Equations: Analysis and Computations 2 (2 …, 2014
Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators
C Sherlock, AH Thiery, A Lee
Biometrika 104 (3), 727-734, 2017
On coupling particle filter trajectories
D Sen, AH Thiery, A Jasra
Statistics and Computing 28 (2), 461-475, 2018
Glaucoma management in the era of artificial intelligence
SK Devalla, Z Liang, TH Pham, C Boote, NG Strouthidis, AH Thiery, ...
British Journal of Ophthalmology 104 (3), 301-311, 2020
NanoVar: accurate characterization of patients’ genomic structural variants using low-depth nanopore sequencing
CY Tham, R Tirado-Magallanes, Y Goh, MJ Fullwood, BTH Koh, W Wang, ...
Genome biology 21 (1), 1-15, 2020
A discrete bouncy particle sampler
C Sherlock, AH Thiery
arXiv preprint arXiv:1707.05200, 2017
Factors influencing lamina cribrosa microcapillary hemodynamics and oxygen concentrations
T Chuangsuwanich, KE Birgersson, A Thiery, SG Thakku, HL Leo, ...
Investigative ophthalmology & visual science 57 (14), 6167-6179, 2016
Efficiency of delayed-acceptance random walk Metropolis algorithms
C Sherlock, A Thiery, A Golightly
arXiv preprint arXiv:1506.08155, 2015
Error bounds for sequential Monte Carlo samplers for multimodal distributions
D Paulin, A Jasra, A Thiery
Bernoulli 25 (1), 310-340, 2019
Deshadowgan: a deep learning approach to remove shadows from optical coherence tomography images
H Cheong, SK Devalla, TH Pham, L Zhang, TA Tun, X Wang, S Perera, ...
Translational Vision Science & Technology 9 (2), 23-23, 2020
Asymptotic analysis of the random walk Metropolis algorithm on ridged densities
A Beskos, G Roberts, A Thiery, N Pillai
Annals of Applied Probability 28 (5), 2966-3001, 2018
The system can't perform the operation now. Try again later.
Articles 1–20