Követés
Alexandre Thiery
Alexandre Thiery
Associate Professor, National University of Singapore (NUS)
E-mail megerősítve itt: nus.edu.sg - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
2582016
On the efficiency of pseudo-marginal random walk Metropolis algorithms
C Sherlock, AH Thiery, GO Roberts, JS Rosenthal
2192015
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
1942018
Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore
PN Pratanwanich, F Yao, Y Chen, CWQ Koh, YK Wan, C Hendra, P Poon, ...
Nature biotechnology 39 (11), 1394-1402, 2021
1662021
Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions
NS Pillai, AM Stuart, AH Thiéry
1212012
Uncertainty quantification and deep ensembles
R Rahaman, AH Thiery
Advances in Neural Information Processing Systems 34, 2021
1192021
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
1112016
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
1082018
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), 14454, 2019
1022019
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, 1-15, 2020
962020
Detection of m6A from direct RNA sequencing using a multiple instance learning framework
C Hendra, PN Pratanwanich, YK Wan, WSS Goh, A Thiery, J Göke
Nature methods 19 (12), 1590-1598, 2022
932022
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
852020
On non-negative unbiased estimators
PE Jacob, AH Thiery
The Annals of Statistics 43 (2), 769--784, 2015
852015
Probabilistic forecasting of day-ahead solar irradiance using quantile gradient boosting
H Verbois, A Rusydi, A Thiery
Solar Energy 173, 313-327, 2018
682018
A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines
Y Chen, NM Davidson, YK Wan, H Patel, F Yao, HM Low, C Hendra, ...
BioRxiv, 2021.04. 21.440736, 2021
602021
Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators
C Sherlock, AH Thiery, A Lee
Biometrika 104 (3), 727-734, 2017
352017
Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images
TH Pham, SK Devalla, A Ang, ZD Soh, AH Thiery, C Boote, CY Cheng, ...
British Journal of Ophthalmology 105 (9), 1231-1237, 2021
342021
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
322020
Towards label-free 3D segmentation of optical coherence tomography images of the optic nerve head using deep learning
SK Devalla, TH Pham, SK Panda, L Zhang, G Subramanian, ...
Biomedical optics express 11 (11), 6356-6378, 2020
312020
Noisy gradient flow from a random walk in Hilbert space
NS Pillai, AM Stuart, AH Thiéry
Stochastic Partial Differential Equations: Analysis and Computations 2, 196-232, 2014
29*2014
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Cikkek 1–20