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Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides


Aug 26, 2021
Ming Zhong, Jason Miller, Mauro Maggioni


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Nonlinear model reduction for slow-fast stochastic systems near manifolds


Apr 05, 2021
Felix X. -F. Ye, Sichen Yang, Mauro Maggioni

* 45 pages, 9 figures, 5 tables 

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Learning Interaction Kernels for Agent Systems on Riemannian Manifolds


Feb 12, 2021
Mauro Maggioni, Jason Miller, Hongda Qui, Ming Zhong


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Multiscale regression on unknown manifolds


Jan 13, 2021
Wenjing Liao, Mauro Maggioni, Stefano Vigogna


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Anatomically-Informed Deep Learning on Contrast-Enhanced Cardiac MRI for Scar Segmentation and Clinical Feature Extraction


Oct 21, 2020
Haley G. Abramson, Dan M. Popescu, Rebecca Yu, Changxin Lai, Julie K. Shade, Katherine C. Wu, Mauro Maggioni, Natalia A. Trayanova

* Haley G. Abramson and Dan M. Popescu contributed equally to this work 

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Learning Theory for Inferring Interaction Kernels in Second-Order Interacting Agent Systems


Oct 08, 2020
Jason Miller, Sui Tang, Ming Zhong, Mauro Maggioni

* 68 pages 

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Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories


Jul 30, 2020
Fei Lu, Mauro Maggioni, Sui Tang

* 38 pages; 9 figures 

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Data-driven Discovery of Emergent Behaviors in Collective Dynamics


Dec 23, 2019
Mauro Maggioni, Jason Miller, Ming Zhong


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Learning interaction kernels in heterogeneous systems of agents from multiple trajectories


Oct 21, 2019
Fei Lu, Mauro Maggioni, Sui Tang

* 59 pages, 21 figures, corrected some typos 

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Learning by Active Nonlinear Diffusion


May 30, 2019
Mauro Maggioni, James M. Murphy

* 20 pages, 10 figures 

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Spectral-Spatial Diffusion Geometry for Hyperspectral Image Clustering


Feb 08, 2019
James M. Murphy, Mauro Maggioni


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Nonparametric inference of interaction laws in systems of agents from trajectory data


Dec 31, 2018
Fei Lu, Mauro Maggioni, Sui Tang, Ming Zhong


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Unsupervised Clustering and Active Learning of Hyperspectral Images with Nonlinear Diffusion


Oct 15, 2018
James M. Murphy, Mauro Maggioni

* 17 pages, 22 figures, 3 tables. IEEE accepted version 

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Learning by Unsupervised Nonlinear Diffusion


Oct 15, 2018
Mauro Maggioni, James M. Murphy

* 40 Pages, 19 Figures 

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Random Projection Forests


Oct 10, 2018
Tyler M. Tomita, James Browne, Cencheng Shen, Jesse L. Patsolic, Jason Yim, Carey E. Priebe, Randal Burns, Mauro Maggioni, Joshua T. Vogelstein

* 46 pages; submitted to Journal of Machine Learning Research for review on 09/26/2018 

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Discovering and Deciphering Relationships Across Disparate Data Modalities


Sep 25, 2018
Cencheng Shen, Qing Wang, Eric Bridgeford, Carey E. Priebe, Mauro Maggioni, Joshua T. Vogelstein


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Linear Optimal Low Rank Projection for High-Dimensional Multi-Class Data


Feb 27, 2018
Joshua T. Vogelstein, Minh Tang, Eric Bridgeford, Da Zheng, Randal Burns, Mauro Maggioni

* 6 figures 

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Path-Based Spectral Clustering: Guarantees, Robustness to Outliers, and Fast Algorithms


Dec 17, 2017
Anna Little, Mauro Maggioni, James M. Murphy

* 49 pages, 12 figures 

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Multiscale Strategies for Computing Optimal Transport


Aug 08, 2017
Samuel Gerber, Mauro Maggioni

* Accepted to JMLR 

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Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data


Jul 18, 2017
Wenjing Liao, Mauro Maggioni


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High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies


Jan 29, 2016
Yi, Wang, Guangliang Chen, Mauro Maggioni


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Multiscale Markov Decision Problems: Compression, Solution, and Transfer Learning


Dec 05, 2012
Jake Bouvrie, Mauro Maggioni

* 86 pages, 15 figures 

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Multiscale Geometric Methods for Data Sets II: Geometric Multi-Resolution Analysis


Sep 08, 2011
William K. Allard, Guangliang Chen, Mauro Maggioni

* Re-formatted using AMS style 

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