Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
Nature Machine Intelligence 3 (3), 199-217, 2021
836 2021 Optimal mass transport: Signal processing and machine-learning applications S Kolouri, SR Park, M Thorpe, D Slepcev, GK Rohde
IEEE signal processing magazine 34 (4), 43-59, 2017
453 2017 Analysis of -Laplacian Regularization in Semisupervised Learning D Slepcev, M Thorpe
SIAM Journal on Mathematical Analysis 51 (3), 2085-2120, 2019
127 2019 Poisson learning: Graph based semi-supervised learning at very low label rates J Calder, B Cook, M Thorpe, D Slepcev
International Conference on Machine Learning, 1306-1316, 2020
83 2020 A Transportation Distance for Signal Analysis M Thorpe, S Park, S Kolouri, GK Rohde, D Slepčev
Journal of mathematical imaging and vision 59, 187-210, 2017
79 2017 SARS-CoV-2-specific nasal IgA wanes 9 months after hospitalisation with COVID-19 and is not induced by subsequent vaccination F Liew, S Talwar, A Cross, BJ Willett, S Scott, N Logan, MK Siggins, ...
EBioMedicine 87, 2023
59 2023 GRAND++: Graph neural diffusion with a source term M Thorpe, TM Nguyen, H Xia, T Strohmer, A Bertozzi, S Osher, B Wang
International Conference on Learning Representation (ICLR), 2022
59 2022 Deep limits of residual neural networks M Thorpe, Y van Gennip
arXiv preprint arXiv:1810.11741, 2018
59 2018 Large data and zero noise limits of graph-based semi-supervised learning algorithms MM Dunlop, D Slepčev, AM Stuart, M Thorpe
Applied and Computational Harmonic Analysis 49 (2), 655-697, 2020
56 2020 Transport-based analysis, modeling, and learning from signal and data distributions S Kolouri, S Park, M Thorpe, D Slepčev, GK Rohde
arXiv preprint arXiv:1609.04767, 2016
35 2016 Rates of convergence for Laplacian semi-supervised learning with low labeling rates J Calder, D Slepčev, M Thorpe
Research in the Mathematical Sciences 10 (1), 10, 2023
32 2023 Introduction to optimal transport M Thorpe
Lecture Notes 3, 2019
26 2019 Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
arXiv preprint arXiv:2008.06388, 2020
23 2020 Convergence of the -Means Minimization Problem using -Convergence M Thorpe, F Theil, AM Johansen, N Cade
SIAM Journal on Applied Mathematics 75 (6), 2444-2474, 2015
22 2015 Sliced optimal partial transport Y Bai, B Schmitzer, M Thorpe, S Kolouri
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
18 2023 AIX-COVNET M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
Common pitfalls and recommendations for using machine learning to detect and …, 2021
18 2021 Asymptotic analysis of the Ginzburg–Landau functional on point clouds M Thorpe, F Theil
Proceedings of the Royal Society of Edinburgh Section A: Mathematics 149 (2 …, 2019
18 2019 The Linearized Hellinger--Kantorovich Distance T Cai, J Cheng, B Schmitzer, M Thorpe
SIAM Journal on Imaging Sciences 15 (1), 45-83, 2022
17 2022 Representing and learning high dimensional data with the optimal transport map from a probabilistic viewpoint S Park, M Thorpe
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
15 2018 Large data limit for a phase transition model with the p-Laplacian on point clouds R Cristoferi, M Thorpe
European Journal of Applied Mathematics 31 (2), 185-231, 2020
13 2020