Alexandre Thiery

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Michaël J.A. GirardAssociate Professor, Emory University (Ophthalmology and Biomedical Engineering)Email verificata su ophthalmic.engineering
Natesh S. PillaiHarvard UniversityEmail verificata su fas.harvard.edu
Chris SherlockLancaster UniversityEmail verificata su lancaster.ac.uk
Andrew M StuartComputing + Mathematical Sciences, CaltechEmail verificata su caltech.edu
Alexandros BeskosProfessor in Statistics, UCLEmail verificata su ucl.ac.uk
Gareth RobertsProfessor of Statistics, University of WarwickEmail verificata su warwick.ac.uk
Ajay JasraProfessor of Data Science, The Chinese University of Hong Kong, ShenzhenEmail verificata su cuhk.edu.cn
Matthew M. GrahamResearch data scientist, University College LondonEmail verificata su ucl.ac.uk
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindEmail verificata su stats.ox.ac.uk
Jeffrey S. RosenthalProfessor of Statistics, University of TorontoEmail verificata su math.toronto.edu
Axel FinkeSchool of Mathematics, Statistics and Physics, Newcastle University, UKEmail verificata su lboro.ac.uk
Nikolas KantasDept. of Mathematics, Imperial College LondonEmail verificata su imperial.ac.uk
Touati BenoukrafAssociate Professor, Memorial University of Newfoundland | Faculty of MedicineEmail verificata su mun.ca
Pierre E. JacobESSEC Business SchoolEmail verificata su essec.edu
Deborshee SenSr Data Scientist, GoogleEmail verificata su google.com
Anthony LeeSchool of Mathematics, University of BristolEmail verificata su bristol.ac.uk
Andrew GolightlyDurham University, UKEmail verificata su durham.ac.uk
Daniel PaulinAssociate Professor, Nanyang Technological UniversityEmail verificata su ntu.edu.sg
Thibault VogtAssociate ProfessorEmail verificata su mail.sysu.edu.cn
Chao WangUniversity of Kansas Medical CenterEmail verificata su kumc.edu

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Alexandre Thiery

Associate Professor, National University of Singapore (NUS)

Email verificata su nus.edu.sg - Home page

Monte Carlo methods Machine Leaning Deep Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	279*	2016
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	233	2021
On the efficiency of pseudo-marginal random walk Metropolis algorithms C Sherlock, AH Thiery, GO Roberts, JS Rosenthal	228	2015
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	218	2018
Uncertainty quantification and deep ensembles R Rahaman, AH Thiery Advances in Neural Information Processing Systems 34, 2021	191	2021
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	175	2022
Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions NS Pillai, AM Stuart, AH Thiéry	131	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	124	2016
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	116	2019
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	113	2018
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	109	2020
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	100	2020
On non-negative unbiased estimators PE Jacob, AH Thiery The Annals of Statistics 43 (2), 769--784, 2015	86	2015
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	81	2021
Probabilistic forecasting of day-ahead solar irradiance using quantile gradient boosting H Verbois, A Rusydi, A Thiery Solar Energy 173, 313-327, 2018	75	2018
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	47	2021
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	45	2020
Pseudo-marginal Metropolis–Hastings sampling using averages of unbiased estimators C Sherlock, AH Thiery, A Lee Biometrika 104 (3), 727-734, 2017	37	2017
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	34	2020
Describing the structural phenotype of the glaucomatous optic nerve head using artificial intelligence SK Panda, H Cheong, TA Tun, SK Devella, V Senthil, R Krishnadas, ... American journal of ophthalmology 236, 172-182, 2022	32	2022

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