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Jeff Calder
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Year
Lipschitz regularized deep neural networks converge and generalize
AM Oberman, J Calder
arXiv preprint arXiv:1808.09540, 2018
88*2018
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
852022
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
812020
The game theoretic p-Laplacian and semi-supervised learning with few labels
J Calder
Nonlinearity 32 (1), 301, 2018
742018
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
682019
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
63*2015
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
602009
Properly-weighted graph Laplacian for semi-supervised learning
J Calder, D Slepčev
Applied mathematics & optimization 82, 1111-1159, 2020
552020
Image sharpening via Sobolev gradient flows
J Calder, A Mansouri, A Yezzi
SIAM Journal on Imaging Sciences 3 (4), 981-1014, 2010
482010
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
45*2022
Pareto-depth for multiple-query image retrieval
KJ Hsiao, J Calder, AO Hero
IEEE Transactions on Image processing 24 (2), 583-594, 2014
362014
The limit shape of convex hull peeling
J Calder, CK Smart
35*2020
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
342014
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
322022
Rates of convergence for Laplacian semi-supervised learning with low labeling rates
J Calder, D Slepčev, M Thorpe
arXiv preprint arXiv:2006.02765, 2020
312020
A variational approach to bone segmentation in CT images
J Calder, AM Tahmasebi, AR Mansouri
SPIE Medical Imaging, 79620B-15, 2011
282011
Lecture notes on viscosity solutions
J Calder
Lecture notes, 2018
272018
A PDE-based approach to nondominated sorting
J Calder, S Esedoglu, AO Hero
SIAM Journal on Numerical Analysis 53 (1), 82-104, 2015
242015
Directed last passage percolation with discontinuous weights
J Calder
Journal of Statistical Physics 158, 903-949, 2015
202015
Accelerated variational PDEs for efficient solution of regularized inversion problems
M Benyamin, J Calder, G Sundaramoorthi, A Yezzi
Journal of mathematical imaging and vision 62, 10-36, 2020
19*2020
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Articles 1–20