| Improved spectral convergence rates for graph Laplacians on ε-graphs and k-NN graphs J Calder, NG Trillos Applied and Computational Harmonic Analysis 60, 123-175, 2022 | 119 | 2022 |
| 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 | 112 | 2020 |
| Lipschitz regularized deep neural networks converge and generalize AM Oberman, J Calder arXiv preprint arXiv:1808.09540, 2018 | 106* | 2018 |
| The game theoretic p-Laplacian and semi-supervised learning with few labels J Calder Nonlinearity 32 (1), 301, 2018 | 101 | 2018 |
| Consistency of Lipschitz learning with infinite unlabeled data and finite labeled data J Calder SIAM Journal on Mathematics of Data Science 1 (4), 780-812, 2019 | 84 | 2019 |
| Properly-weighted graph Laplacian for semi-supervised learning J Calder, D Slepčev Applied mathematics & optimization 82, 1111-1159, 2020 | 67 | 2020 |
| Multicriteria similarity-based anomaly detection using Pareto depth analysis KJ Hsiao, KS Xu, J Calder, AO Hero IEEE transactions on neural networks and learning systems 27 (6), 1307-1321, 2015 | 65* | 2015 |
| Analysis and algorithms for ℓp-based semi-supervised learning on graphs M Flores, J Calder, G Lerman Applied and Computational Harmonic Analysis 60, 77-122, 2022 | 64* | 2022 |
| Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation sets R Deriche, J Calder, M Descoteaux Medical image analysis 13 (4), 564-579, 2009 | 61 | 2009 |
| Image sharpening via Sobolev gradient flows J Calder, A Mansouri, A Yezzi SIAM Journal on Imaging Sciences 3 (4), 981-1014, 2010 | 51 | 2010 |
| Lipschitz regularity of graph Laplacians on random data clouds J Calder, N García Trillos, M Lewicka SIAM Journal on Mathematical Analysis 54 (1), 1169-1222, 2022 | 46 | 2022 |
| Rates of convergence for Laplacian semi-supervised learning with low labeling rates J Calder, D Slepčev, M Thorpe Research in the Mathematical Sciences 10, 2023 | 43 | 2023 |
| The limit shape of convex hull peeling J Calder, CK Smart | 37* | 2020 |
| Lecture notes on viscosity solutions J Calder Lecture notes, 2018 | 37 | 2018 |
| Pareto-depth for multiple-query image retrieval KJ Hsiao, J Calder, AO Hero IEEE Transactions on Image processing 24 (2), 583-594, 2014 | 36 | 2014 |
| A Hamilton--Jacobi equation for the continuum limit of nondominated sorting J Calder, S Esedoglu, AO Hero SIAM Journal on Mathematical Analysis 46 (1), 603-638, 2014 | 35 | 2014 |
| Graph-based active learning for semi-supervised classification of SAR data K Miller, J Mauro, J Setiadi, X Baca, Z Shi, J Calder, AL Bertozzi Algorithms for Synthetic Aperture Radar Imagery XXIX 12095, 126-139, 2022 | 28 | 2022 |
| A variational approach to bone segmentation in CT images J Calder, AM Tahmasebi, AR Mansouri SPIE Medical Imaging, 79620B-15, 2011 | 27 | 2011 |
| Uniform convergence rates for Lipschitz learning on graphs L Bungert, J Calder, T Roith IMA Journal of Numerical Analysis 43 (4), 2445-2495, 2023 | 26 | 2023 |
| A PDE-based approach to nondominated sorting J Calder, S Esedoglu, AO Hero SIAM Journal on Numerical Analysis 53 (1), 82-104, 2015 | 26 | 2015 |
Alfred HeroJohn H Holland Distinguished University Professor, University of MichiganVerified email at eecs.umich.edu