Jeff Calder - RankMe

72 papers A* 2B 2Misc 1Journal 66Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Predictive Display for Teleoperation Based on Vector Fields Using Lidar-Camera Fusion (Abstract Reprint). AAAI Gaurav Sharma, Jeff Calder, Rajesh Rajamani
2025	J	`jnl`	Continuous data assimilation for hydrodynamics: Consistent discretization and application to moment recovery. J. Comput. Phys. Jingcheng Lu, Kunlun Qi, Li Wang, Jeff Calder
2025	J	`jnl`	Controlling instability in the Vlasov-Poisson system through moment-based optimization. CoRR Jingcheng Lu, Li Wang, Jeff Calder
2025	J	`jnl`	Dynamical feedback control with operator learning for the Vlasov-Poisson system. CoRR Jingcheng Lu, Li Wang, Jeff Calder
2025	J	`jnl`	Energy Approach from ϵ-Graph to Continuum Diffusion Model with Connectivity Functional. CoRR Yahong Yang, Sun Lee, Jeff Calder, Wenrui Hao
2025	J	`jnl`	Geometry-Preserving Encoder/Decoder in Latent Generative Models. CoRR Wonjun Lee, Riley C. W. O'Neill, Dongmian Zou, Jeff Calder, Gilad Lerman
2025	J	`jnl`	Predictive Display for Teleoperation Based on Vector Fields Using Lidar-Camera Fusion. Int. J. Comput. Vis. Gaurav Sharma, Jeff Calder, Rajesh Rajamani
2025	J	`jnl`	Understanding Contrastive Learning through Variational Analysis and Neural Network Optimization Perspectives. CoRR Jeff Calder, Wonjun Lee
2024	J	`jnl`	Attraction-Repulsion Swarming: A Generalized Framework of t-SNE via Force Normalization and Tunable Interactions. CoRR Jingcheng Lu, Jeff Calder
2024	J	`jnl`	Bayesian Active Learning for Sample Efficient 5G Radio Map Reconstruction. IEEE Trans. Wirel. Commun. Konstantinos D. Polyzos, Alireza Sadeghi, Wei Ye, Steven Sleder, Kodjo Houssou, Jeff Calder, Zhi-Li Zhang, Georgios B. Giannakis
2024	J	`jnl`	Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian. CoRR Jeff Calder, Nadejda Drenska
2024	J	`jnl`	Continuous data assimilation for hydrodynamics: consistent discretization and application to moment recovery. CoRR Jingcheng Lu, Kunlun Qi, Li Wang, Jeff Calder
2024	J	`jnl`	Convergence rates for Poisson learning to a Poisson equation with measure data. CoRR Leon Bungert, Jeff Calder, Max Mihailescu, Kodjo Houssou, Amber Yuan
2024	J	`jnl`	En masse scanning and automated surfacing of small objects using Micro-CT. CoRR Riley C. W. O'Neill, Katrina Yezzi-Woodley, Jeff Calder, Peter J. Olver
2024	J	`jnl`	GLL: A Differentiable Graph Learning Layer for Neural Networks. CoRR Jason Brown, Bohan Chen, Harris Hardiman-Mostow, Jeff Calder, Andrea L. Bertozzi
2024	J	`jnl`	Monotone discretizations of levelset convex geometric PDEs. Numerische Mathematik Jeff Calder, Wonjun Lee
2024	J	`jnl`	Numerical solution of a PDE arising from prediction with expert advice. CoRR Jeff Calder, Nadejda Drenska, Drisana Mosaphir
2023	J	`jnl`	Monotone discretizations of levelset convex geometric PDEs. CoRR Jeff Calder, Wonjun Lee
2023	J	`jnl`	Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets. CoRR James Chapman, Bohan Chen, Zheng Tan, Jeff Calder, Kevin Miller, Andrea L. Bertozzi
2023	J	`jnl`	Poisson Reweighted Laplacian Uncertainty Sampling for Graph-Based Active Learning. SIAM J. Math. Data Sci. Kevin S. Miller, Jeff Calder
2022	J	`jnl`	Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications. J. Sci. Comput. Jeff Calder, Sangmin Park, Dejan Slepcev
2022	J	`jnl`	Graph-based Active Learning for Semi-supervised Classification of SAR Data. CoRR Kevin Miller, John Mauro, Jason Setiadi, Xoaquin Baca, Zhan Shi, Jeff Calder, Andrea L. Bertozzi
2022	J	`jnl`	Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth. CoRR Jeff Calder, Mahmood Ettehad
2022	J	`jnl`	Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth. J. Mach. Learn. Res. Jeff Calder, Mahmood Ettehad
2022	J	`jnl`	Lipschitz Regularity of Graph Laplacians on Random Data Clouds. SIAM J. Math. Anal. Jeff Calder, Nicolás García Trillos, Marta Lewicka
2022	J	`jnl`	Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning. CoRR Kevin Miller, Jeff Calder
2022	J	`jnl`	Rates of Convergence for the Continuum Limit of Nondominated Sorting. SIAM J. Math. Anal. Brendan Cook, Jeff Calder
2022	J	`jnl`	Ratio convergence rates for Euclidean first-passage percolation: Applications to the graph infinity Laplacian. CoRR Leon Bungert, Jeff Calder, Tim Roith
2022	J	`jnl`	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 Katrina Yezzi-Woodley, Jeff Calder, Mckenzie Sweno, Chloe Siewert, Peter J. Olver
2022	J	`jnl`	Use and Misuse of Machine Learning in Anthropology. CoRR Jeff Calder, Reed Coil, Annie Melton, Peter J. Olver, Gilbert Tostevin, Katrina Yezzi-Woodley
2022	J	`jnl`	Using machine learning on new feature sets extracted from 3D models of broken animal bones to classify fragments according to break agent. CoRR Katrina Yezzi-Woodley, Alexander Terwilliger, Jiafeng Li, Eric Chen, Martha Tappen, Jeff Calder, Peter J. Olver
2021	J	`jnl`	Boundary Estimation from Point Clouds: Algorithms, Guarantees and Applications. CoRR Jeff Calder, Sangmin Park, Dejan Slepcev
2021	J	`jnl`	Uniform Convergence Rates for Lipschitz Learning on Graphs. CoRR Leon Bungert, Jeff Calder, Tim Roith
2020	J	`jnl`	A continuum limit for the PageRank algorithm. CoRR Amber Yuan, Jeff Calder, Braxton Osting
2020	J	`jnl`	Accelerated Variational PDEs for Efficient Solution of Regularized Inversion Problems. J. Math. Imaging Vis. Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi
2020	J	`jnl`	Asymptotically optimal strategies for online prediction with history-dependent experts. CoRR Jeff Calder, Nadejda Drenska
2020	J	`jnl`	Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals. SIAM J. Imaging Sci. Riley C. W. O'Neill, Pedro Angulo-Umana, Jeff Calder, Bo Hessburg, Peter J. Olver, Chehrzad Shakiban, Katrina Yezzi-Woodley
2020	J	`jnl`	Lipschitz regularity of graph Laplacians on random data clouds. CoRR Jeff Calder, Nicolás García Trillos, Marta Lewicka
2020	J	`jnl`	Online Prediction With History-Dependent Experts: The General Case. CoRR Nadejda Drenska, Jeff Calder
2020	A*	`conf`	Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates. ICML Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev
2020	J	`jnl`	Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates. CoRR Jeff Calder, Brendan Cook, Matthew Thorpe, Dejan Slepcev
2020	J	`jnl`	Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates. CoRR Jeff Calder, Dejan Slepcev, Matthew Thorpe
2020	J	`jnl`	The Virtual Goniometer: A new method for measuring angles on 3D models of fragmentary bone and lithics. CoRR Katrina Yezzi-Woodley, Jeff Calder, Peter J. Olver, Annie Melton, Paige Cody, Thomas Huffstutler, Alexander Terwilliger, Martha Tappen, Reed Coil, Gilbert Tostevin
2019	J	`jnl`	Algorithms for 𝓁 CoRR Mauricio Flores Rios, Jeff Calder, Gilad Lerman
2019	J	`jnl`	Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals. CoRR Riley C. W. O'Neill, Pedro Angulo-Umana, Jeff Calder, Bo Hessburg, Peter J. Olver, Chehrzad Shakiban, Katrina Yezzi-Woodley
2019	J	`jnl`	Consistency of Lipschitz Learning with Infinite Unlabeled Data and Finite Labeled Data. SIAM J. Math. Data Sci. Jeff Calder
2019	J	`jnl`	Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs. CoRR Jeff Calder, Nicolás García Trillos
2018	J	`jnl`	Accelerated PDE's for efficient solution of regularized inversion problems. CoRR Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi, Anthony J. Yezzi
2018	J	`jnl`	Anomaly Detection and Classification for Streaming Data using PDEs. SIAM J. Appl. Math. Bilal Abbasi, Jeff Calder, Adam M. Oberman
2018	J	`jnl`	Lipschitz regularized Deep Neural Networks converge and generalize. CoRR Adam M. Oberman, Jeff Calder
2018	J	`jnl`	Properly-weighted graph Laplacian for semi-supervised learning. CoRR Jeff Calder, Dejan Slepcev
2018	J	`jnl`	Robust variational segmentation of 3D bone CT data with thin cartilage interfaces. Medical Image Anal. Tarun Gangwar, Jeff Calder, Takashi Takahashi, Joan E. Bechtold, Dominik Schillinger
2018	J	`jnl`	The limit shape of convex hull peeling. CoRR Jeff Calder, Charles K. Smart
2017	J	`jnl`	Consistency of Lipschitz learning with infinite unlabeled data and finite labeled data. CoRR Jeff Calder
2017	J	`jnl`	Numerical schemes and rates of convergence for the Hamilton-Jacobi equation continuum limit of nondominated sorting. Numerische Mathematik Jeff Calder
2017	J	`jnl`	The game theoretic p-Laplacian and semi-supervised learning with few labels. CoRR Jeff Calder
2016	J	`jnl`	Anomaly detection and classification for streaming data using partial differential equations. CoRR Bilal Abbasi, Jeff Calder, Adam M. Oberman
2016	J	`jnl`	Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis. IEEE Trans. Neural Networks Learn. Syst. Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
2015	J	`jnl`	A PDE-based Approach to Nondominated Sorting. SIAM J. Numer. Anal. Jeff Calder, Selim Esedoglu, Alfred O. Hero III
2015	J	`jnl`	Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis. CoRR Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
2015	J	`jnl`	Pareto-Depth for Multiple-Query Image Retrieval. IEEE Trans. Image Process. Ko-Jen Hsiao, Jeff Calder, Alfred O. Hero III
2014	J	`jnl`	A Hamilton-Jacobi Equation for the Continuum Limit of Nondominated Sorting. SIAM J. Math. Anal. Jeff Calder, Selim Esedoglu, Alfred O. Hero III
2014	Misc	`conf`	A continuum limit for non-dominated sorting. ITA Jeff Calder, Selim Esedoglu, Alfred O. Hero III
2014	J	`jnl`	Pareto-depth for Multiple-query Image Retrieval. CoRR Ko-Jen Hsiao, Jeff Calder, Alfred O. Hero III
2012	—	`conf`	Multi-criteria Anomaly Detection using Pareto Depth Analysis. NIPS Ko-Jen Hsiao, Kevin S. Xu, Jeff Calder, Alfred O. Hero III
2012	J	`jnl`	On the Circular Area Signature for Graphs. SIAM J. Imaging Sci. Jeff Calder, Selim Esedoglu
2011	B	`conf`	A variational approach to bone segmentation in CT images. Image Processing Jeff Calder, Amir M. Tahmasebi, Abdol-Reza Mansouri
2011	J	`jnl`	Anisotropic Image Sharpening via Well-Posed Sobolev Gradient Flows. SIAM J. Math. Anal. Jeff Calder, Abdol-Reza Mansouri
2011	J	`jnl`	New Possibilities in Image Diffusion and Sharpening via High-Order Sobolev Gradient Flows. J. Math. Imaging Vis. Jeff Calder, Abdol-Reza Mansouri, Anthony J. Yezzi
2010	J	`jnl`	Image Sharpening via Sobolev Gradient Flows. SIAM J. Imaging Sci. Jeff Calder, Abdol-Reza Mansouri, Anthony J. Yezzi
2009	J	`jnl`	Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation sets. Medical Image Anal. Rachid Deriche, Jeff Calder, Maxime Descoteaux
2009	B	`conf`	Real-time magnetic resonance Q-Ball imaging using Kalman filtering with Laplace-Beltrami regularization. Image Processing Rachid Deriche, Jeff Calder