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ORCIDJeff Calder
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2020 – today
- 2024
[j22]Jeff Calder, Wonjun Lee:
Monotone discretizations of levelset convex geometric PDEs. Numerische Mathematik 156(6): 1987-2029 (2024)- [j21]Konstantinos D. Polyzos
, Alireza Sadeghi, Wei Ye, Steven Sleder, Kodjo Houssou, Jeff Calder, Zhi-Li Zhang, Georgios B. Giannakis:
Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction. IEEE Trans. Wirel. Commun. 23(12): 19382-19396 (2024) - [i37]Jeff Calder, Nadejda Drenska:
Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian. CoRR abs/2401.07463 (2024) - [i36]Jeff Calder, Nadejda Drenska, Drisana Mosaphir:
Numerical solution of a PDE arising from prediction with expert advice. CoRR abs/2406.05754 (2024) - [i35]Leon Bungert, Jeff Calder, Max Mihailescu, Kodjo Houssou, Amber Yuan:
Convergence rates for Poisson learning to a Poisson equation with measure data. CoRR abs/2407.06783 (2024) - [i34]Jingcheng Lu, Kunlun Qi, Li Wang, Jeff Calder:
Continuous data assimilation for hydrodynamics: consistent discretization and application to moment recovery. CoRR abs/2409.03872 (2024) - [i33]Riley C. W. O'Neill, Katrina Yezzi-Woodley, Jeff Calder, Peter J. Olver:
En masse scanning and automated surfacing of small objects using Micro-CT. CoRR abs/2410.07385 (2024) - [i32]Jingcheng Lu, Jeff Calder:
Attraction-Repulsion Swarming: A Generalized Framework of t-SNE via Force Normalization and Tunable Interactions. CoRR abs/2411.10617 (2024) - [i31]Jason Brown, Bohan Chen, Harris Hardiman-Mostow, Jeff Calder, Andrea L. Bertozzi:
GLL: A Differentiable Graph Learning Layer for Neural Networks. CoRR abs/2412.08016 (2024) - 2023
- [j20]Kevin S. Miller, Jeff Calder:
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning. SIAM J. Math. Data Sci. 5(4): 1160-1190 (2023) - [i30]James Chapman, Bohan Chen, Zheng Tan, Jeff Calder, Kevin Miller, Andrea L. Bertozzi:
Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets. CoRR abs/2307.10495 (2023) - [i29]Jeff Calder, Wonjun Lee:
Monotone discretizations of levelset convex geometric PDEs. CoRR abs/2310.08450 (2023) - 2022
- [j19]Jeff Calder, Mahmood Ettehad:
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth. J. Mach. Learn. Res. 23: 318:1-318:62 (2022) - [j18]Jeff Calder, Sangmin Park, Dejan Slepcev:
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications. J. Sci. Comput. 92(2): 56 (2022) - [j17]Brendan Cook, Jeff Calder:
Rates of Convergence for the Continuum Limit of Nondominated Sorting. SIAM J. Math. Anal. 54(1): 872-911 (2022) - [j16]Jeff Calder, Nicolás García Trillos, Marta Lewicka:
Lipschitz Regularity of Graph Laplacians on Random Data Clouds. SIAM J. Math. Anal. 54(1): 1169-1222 (2022) - [i28]Jeff Calder, Mahmood Ettehad:
Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth. CoRR abs/2202.08789 (2022) - [i27]Kevin Miller, John Mauro, Jason Setiadi, Xoaquin Baca, Zhan Shi, Jeff Calder, Andrea L. Bertozzi:
Graph-based Active Learning for Semi-supervised Classification of SAR Data. CoRR abs/2204.00005 (2022) - [i26]Katrina Yezzi-Woodley, Jeff Calder, Mckenzie Sweno, Chloe Siewert, Peter J. Olver:
The Batch Artifact Scanning Protocol: A new method using computed tomography (CT) to rapidly create three-dimensional models of objects from large collections en masse. CoRR abs/2205.02691 (2022) - [i25]Katrina Yezzi-Woodley, Alexander Terwilliger, Jiafeng Li, Eric Chen, Martha Tappen, Jeff Calder, Peter J. Olver:
Using machine learning on new feature sets extracted from 3D models of broken animal bones to classify fragments according to break agent. CoRR abs/2205.10430 (2022) - [i24]Jeff Calder, Reed Coil, Annie Melton, Peter J. Olver, Gilbert Tostevin, Katrina Yezzi-Woodley:
Use and Misuse of Machine Learning in Anthropology. CoRR abs/2209.02811 (2022) - [i23]Leon Bungert, Jeff Calder, Tim Roith:
Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian. CoRR abs/2210.09023 (2022) - [i22]Kevin Miller, Jeff Calder:
Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning. CoRR abs/2210.15786 (2022) - 2021
- [i21]Jeff Calder, Sangmin Park, Dejan Slepcev:
Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications. CoRR abs/2111.03217 (2021) - [i20]Leon Bungert, Jeff Calder, Tim Roith:
Uniform Convergence Rates for Lipschitz Learning on Graphs. CoRR abs/2111.12370 (2021) - 2020
- [j15]Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi:
Accelerated Variational PDEs for Efficient Solution of Regularized Inversion Problems. J. Math. Imaging Vis. 62(1): 10-36 (2020) - [j14]Riley C. W. O'Neill, Pedro Angulo-Umana, Jeff Calder, Bo Hessburg, Peter J. Olver, Chehrzad Shakiban, Katrina Yezzi-Woodley:
Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals. SIAM J. Imaging Sci. 13(1): 53-77 (2020) - [c5]Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev:
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates. ICML 2020: 1306-1316 - [i19]Amber Yuan, Jeff Calder, Braxton Osting:
A continuum limit for the PageRank algorithm. CoRR abs/2001.08973 (2020) - [i18]Jeff Calder, Dejan Slepcev, Matthew Thorpe:
Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates. CoRR abs/2006.02765 (2020) - [i17]Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev:
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates. CoRR abs/2006.11184 (2020) - [i16]Jeff Calder, Nicolás García Trillos, Marta Lewicka:
Lipschitz regularity of graph Laplacians on random data clouds. CoRR abs/2007.06679 (2020) - [i15]Nadejda Drenska, Jeff Calder:
Online Prediction With History-Dependent Experts: The General Case. CoRR abs/2008.00052 (2020) - [i14]Jeff Calder, Nadejda Drenska:
Asymptotically optimal strategies for online prediction with history-dependent experts. CoRR abs/2008.13703 (2020) - [i13]Katrina Yezzi-Woodley, Jeff Calder, Peter J. Olver, Annie Melton, Paige Cody, Thomas Huffstutler, Alexander Terwilliger, Martha Tappen, Reed Coil, Gilbert Tostevin:
The Virtual Goniometer: A new method for measuring angles on 3D models of fragmentary bone and lithics. CoRR abs/2011.04898 (2020)
2010 – 2019
- 2019
- [j13]Jeff Calder:
Consistency of Lipschitz Learning with Infinite Unlabeled Data and Finite Labeled Data. SIAM J. Math. Data Sci. 1(4): 780-812 (2019) - [i12]Mauricio Flores Rios, Jeff Calder, Gilad Lerman:
Algorithms for 𝓁p-based semi-supervised learning on graphs. CoRR abs/1901.05031 (2019) - [i11]Riley C. W. O'Neill, Pedro Angulo-Umana, Jeff Calder, Bo Hessburg, Peter J. Olver, Chehrzad Shakiban, Katrina Yezzi-Woodley:
Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals. CoRR abs/1905.02176 (2019) - [i10]Jeff Calder, Nicolás García Trillos:
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs. CoRR abs/1910.13476 (2019) - 2018
- [j12]Tarun Gangwar, Jeff Calder, Takashi Takahashi, Joan E. Bechtold, Dominik Schillinger:
Robust variational segmentation of 3D bone CT data with thin cartilage interfaces. Medical Image Anal. 47: 95-110 (2018) - [j11]Bilal Abbasi, Jeff Calder, Adam M. Oberman:
Anomaly Detection and Classification for Streaming Data using PDEs. SIAM J. Appl. Math. 78(2): 921-941 (2018) - [i9]Jeff Calder, Charles K. Smart:
The limit shape of convex hull peeling. CoRR abs/1805.08278 (2018) - [i8]Adam M. Oberman, Jeff Calder:
Lipschitz regularized Deep Neural Networks converge and generalize. CoRR abs/1808.09540 (2018) - [i7]Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi:
Accelerated PDE's for efficient solution of regularized inversion problems. CoRR abs/1810.00410 (2018) - [i6]Jeff Calder, Dejan Slepcev:
Properly-weighted graph Laplacian for semi-supervised learning. CoRR abs/1810.04351 (2018) - 2017
- [j10]Jeff Calder:
Numerical schemes and rates of convergence for the Hamilton-Jacobi equation continuum limit of nondominated sorting. Numerische Mathematik 137(4): 819-856 (2017) - [i5]Jeff Calder:
Consistency of Lipschitz learning with infinite unlabeled data and finite labeled data. CoRR abs/1710.10364 (2017) - [i4]Jeff Calder:
The game theoretic p-Laplacian and semi-supervised learning with few labels. CoRR abs/1711.10144 (2017) - 2016
- [j9]Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III:
Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1307-1321 (2016) - [i3]Bilal Abbasi, Jeff Calder, Adam M. Oberman:
Anomaly detection and classification for streaming data using partial differential equations. CoRR abs/1608.04348 (2016) - 2015
- [j8]Jeff Calder, Selim Esedoglu, Alfred O. Hero III:
A PDE-based Approach to Nondominated Sorting. SIAM J. Numer. Anal. 53(1): 82-104 (2015) - [j7]Ko-Jen Hsiao, Jeff Calder, Alfred O. Hero III:
Pareto-Depth for Multiple-Query Image Retrieval. IEEE Trans. Image Process. 24(2): 583-594 (2015) - [i2]Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III:
Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis. CoRR abs/1508.04887 (2015) - 2014
- [j6]Jeff Calder, Selim Esedoglu, Alfred O. Hero III:
A Hamilton-Jacobi Equation for the Continuum Limit of Nondominated Sorting. SIAM J. Math. Anal. 46(1): 603-638 (2014) - [c4]Jeff Calder, Selim Esedoglu, Alfred O. Hero III:
A continuum limit for non-dominated sorting. ITA 2014: 1-7 - [i1]Ko-Jen Hsiao, Jeff Calder, Alfred O. Hero III:
Pareto-depth for Multiple-query Image Retrieval. CoRR abs/1402.5176 (2014) - 2012
- [j5]Jeff Calder, Selim Esedoglu:
On the Circular Area Signature for Graphs. SIAM J. Imaging Sci. 5(4): 1355-1379 (2012) - [c3]Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III:
Multi-criteria Anomaly Detection using Pareto Depth Analysis. NIPS 2012: 854-862 - 2011
- [j4]Jeff Calder, Abdol-Reza Mansouri, Anthony J. Yezzi:
New Possibilities in Image Diffusion and Sharpening via High-Order Sobolev Gradient Flows. J. Math. Imaging Vis. 40(3): 248-258 (2011) - [j3]Jeff Calder, Abdol-Reza Mansouri:
Anisotropic Image Sharpening via Well-Posed Sobolev Gradient Flows. SIAM J. Math. Anal. 43(4): 1536-1556 (2011) - [c2]Jeff Calder, Amir M. Tahmasebi, Abdol-Reza Mansouri:
A variational approach to bone segmentation in CT images. Image Processing 2011: 79620B - 2010
- [j2]Jeff Calder, Abdol-Reza Mansouri, Anthony J. Yezzi:
Image Sharpening via Sobolev Gradient Flows. SIAM J. Imaging Sci. 3(4): 981-1014 (2010)
2000 – 2009
- 2009
- [j1]Rachid Deriche, Jeff Calder, Maxime Descoteaux:
Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation sets. Medical Image Anal. 13(4): 564-579 (2009) - [c1]Rachid Deriche, Jeff Calder:
Real-time magnetic resonance Q-Ball imaging using Kalman filtering with Laplace-Beltrami regularization. Image Processing 2009: 72591Z
Coauthor Index
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