Publications

96 entries « 1 of 2 »

2020

Lu, Fei; Maggioni, Mauro; Tang, Sui

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

arXiv, Forthcoming.

Abstract | Links | BibTeX | Tags: interacting particle systems, inverse problems, Machine learning, statistics, stochastic systems

Lanteri, Alessandro; Maggioni, Mauro; Vigogna, Stefano

Conditional regression for single-index models Miscellaneous

2020.

Links | BibTeX | Tags: regression, statistics

Tomita, Tyler M; Browne, James; Shen, Cencheng; Chung, Jaewon; Patsolic, Jesse L; Falk, Benjamin; Priebe, Carey E; Yim, Jason; Burns, Randal; Maggioni, Mauro; Vogelstein, Joshua T

Sparse Projection Oblique Randomer Forests Journal Article

Journal of Machine Learning Research, 21 (104), pp. 1-39, 2020.

Links | BibTeX | Tags: Machine learning, statistics, supervised learning

Okada, David Jason Miller; Jonathan Chrispin; Adityo Prakosa; Natalia Trayanova; Steven Jones; Mauro Maggioni; Katherine Wu David R ; C R

Substrate Spatial Complexity Analysis for the Prediction of Ventricular Arrhythmias in Patients with Ischemic Cardiomyopathy Journal Article

Circulation: Arrhythmia and Electrophysiology, 2020.

Links | BibTeX | Tags: imaging, Laplacian eigenfunctions, medical imaging

2019

Murphy, James M; Maggioni, Mauro

Unsupervised Clustering and Active Learning of Hyperspectral Images With Nonlinear Diffusion Journal Article

IEEE Transactions on Geoscience and Remote Sensing, 57 (3), pp. 1829-1845, 2019, ISSN: 1558-0644.

Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral images, imaging, Machine learning, Unsupervised Learning

Lu, Fei; Maggioni, Mauro; Tang, Sui

Learning interaction kernels in heterogeneous systems of agents from multiple trajectories Miscellaneous

2019.

Links | BibTeX | Tags: interacting particle systems, inverse problems, Machine learning, model reduction, statistics

Maggioni, Mauro; Miller, Jason; Zhong, Ming

Data-driven Discovery of Emergent Behaviors in Collective Dynamics Journal Article

Physica D: Nonlinear Phenomena, 2019.

Links | BibTeX | Tags: agent-based models, interacting particle systems, inverse problems, Machine learning, model reduction, statistics

Lu, Fei; Li, Zhongyang; Maggioni, Mauro; Tang, Sui; Zhang, Cheng

On the identifiability of interaction functions in systems of interacting particles Journal Article

submitted, 2019.

Links | BibTeX | Tags: agent-based models, interacting particle systems, inverse problems, Machine learning, model reduction, statistics

Little, Anna V; Maggioni, Mauro; Murphy, James M

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

Journ. Mach. Learn. Res., 21 , pp. 1-66, 2019.

Links | BibTeX | Tags: Clustering, diffusion geometry, Machine learning, Unsupervised Learning

Browne, James Tomita Tyler M; Shen, Cencheng; Chung, Jaewon; Patsolic, Jesse L; Falk, Benjamin; Priebe, Carey Yim Jason E; RandalMaggioni, Mauro Burns; Vogelstein, Joshua T

Sparse Projection Oblique Randomer Forests Journal Article

Journ. Mach. Learn. Res., 2019.

Links | BibTeX | Tags: Machine learning, statistics, supervised learning

Maggioni, Mauro; Murphy, James M

Learning by active nonlinear diffusion Journal Article

Foundations of Data Science, 1 ("2639-8001-2019-3-271"), pp. 271, 2019, ISSN: A0000-0002.

Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral images, Machine learning, Unsupervised Learning

Lu, Fei; Maggioni, Mauro; Tang, Sui

Learning interaction kernels in heterogeneous systems of agents from multiple trajectories Journal Article

submitted, 2019.

Links | BibTeX | Tags: agent-based models, interacting particle systems, inverse problems, Machine learning, model reduction, statistics

Lu, Fei; Zhong, Ming; Tang, Sui; Maggioni, Mauro

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

Proceedings of the National Academy of Sciences, 116 (29), pp. 14424–14433, 2019, ISSN: 0027-8424.

Links | BibTeX | Tags: agent-based models, interacting particle systems, inverse problems, Machine learning, model reduction, statistics

Vogelstein, Joshua T; Bridgeford, Eric W; Wang, Qing; Priebe, Carey E; Maggioni, Mauro; Shen, Cencheng

Discovering and deciphering relationships across disparate data modalities Journal Article

eLife, pp. 8:e41690, 2019.

Links | BibTeX | Tags: Machine learning, statistics, Unsupervised Learning

Liao, Wenjing; Maggioni, Mauro; Vigogna, S

Multiscale regression on intrinsically low-dimensional sets Journal Article

in preparation, 2019.

BibTeX | Tags: Machine learning, Manifold Learning, statistics, supervised learning

Liao, Wenjing; Maggioni, Mauro

Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data Journal Article

Journal of machine learning Research, 20 (98), pp. 1-63, 2019.

Links | BibTeX | Tags: geometric wavelets, Machine learning, multiscale analysis, statistics

2018

Escande, Paul; Maggioni, Mauro

Multiscale Approximations of Transformations Journal Article

in preparation, 2018.

BibTeX | Tags:

Murphy, James M; Maggioni, Mauro

Iterative Active Learning with Diffusion Geometry for Hyperspectral Images Inproceedings

Proc. of WHISPERS, 2018.

Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral images, imaging, Machine learning

Murphy, James M; Maggioni, Mauro

Diffusion geometric methods for fusion of remotely sensed data Inproceedings

Velez-Reyes, Miguel; Messinger, David W (Ed.): Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, pp. 137 – 147, International Society for Optics and Photonics SPIE, 2018.

Links | BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral images, imaging, Machine learning, Unsupervised Learning

2017

Maggioni, Mauro

Geometric Measure Estimation Journal Article

in preparation, 2017.

BibTeX | Tags: geometric wavelets, statistics

Crosskey, Miles C; Maggioni, Mauro

ATLAS: A geometric approach to learning high-dimensional stochastic systems near manifolds Journal Article

Journal of Multiscale Modeling and Simulation, 15 (1), pp. 110–156, 2017, (arxiv: 1404.0667).

BibTeX | Tags: diffusion geometry, Machine learning, Manifold Learning, statistics, stochastic systems

Tomita, Tyler M; Maggioni, Mauro; Vogelstein, Joshua T

ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations Inproceedings

SIAM Data Mining, 2017.

BibTeX | Tags: Machine learning, statistics, supervised learning

Tomita, Tyler; Maggioni, Mauro; Vogelstein, Joshua T

ROFLMAO: Robust Oblique Forests with Linear MAtrix Operations Inproceedings

2017.

BibTeX | Tags: Machine learning, statistics, supervised learning

Gerber, Sam; Maggioni, Mauro

Multiscale Strategies for Discrete Optimal Transport Journal Article

Journ. Mach. Learn. Res., (72), pp. 1–32, 2017.

BibTeX | Tags: multiscale analysis, optimal transport, optimization

Little, Anna V; Maggioni, Mauro; Rosasco, Lorenzo

Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature Journal Article

Applied and Computational Harmonic Analysis, 43 (3), pp. 504 - 567, 2017, (Submitted: 2012, MIT-CSAIL-TR-2012-029/CBCL-310).

BibTeX | Tags: geometric wavelets, Machine learning, Manifold Learning, multiscale analysis, statistics

2016

Shen, Cencheng; Priebe, Carey E; Maggioni, Mauro; Vogelstein, Joshua T

Dependence Discovery from Multimodal Data via Multiscale Generalized Correlation Journal Article

Submitted, 2016.

BibTeX | Tags: Machine learning, statistics, Unsupervised Learning

Yin, Rachel; Monson, Eric; Honig, Elisabeth; Daubechies, Ingrid; Maggioni, Mauro

Object recognition in art drawings: Transfer of a neural network Inproceedings

Proc. IEEE ICASSP, 2016.

BibTeX | Tags: imaging, Machine learning, neural networks, transfer learning

Bongini, Mattia; Fornasier, Massimo; Hansen, M; Maggioni, Mauro

Inferring Interaction Rules From Observations of Evolutive Systems I: The Variational Approach

2016.

Links | BibTeX | Tags: agent-based models, interacting particle systems, Machine learning, statistics

Wang, Yang; Chen, Guangliang; Maggioni, Mauro

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

2016.

BibTeX | Tags: Clustering, diffusion geometry, hyperspectral images, Machine learning, Unsupervised Learning

Liao, Wenjing; Maggioni, Mauro; Vigogna, S

Learning adaptive multiscale approximations to data and functions near low-dimensional sets Inproceedings

Proceedings of the IEEE Information Theory Workshop, 2016, (Cambridge, UK).

BibTeX | Tags: Machine learning, Manifold Learning, statistics, supervised learning

Maggioni, Mauro; Minsker, Stanislav; Strawn, Nate

Multiscale Dictionary Learning: Non-asymptotic Bounds and Robustness Journal Article

J. Mach. Learn. Res., 17 (1), pp. 43–93, 2016, ISSN: 1532-4435.

Links | BibTeX | Tags: dictionary learning, Manifold Learning, multi-resolution analysis, robustness, sparsity

2015

Tomita, Tyler M; Maggioni, Mauro; Vogelstein, Joshua T

Randomer Forests Journal Article

arXiv preprint arXiv:1506.03410, 2015.

Links | BibTeX | Tags: Machine learning, statistics, supervised learning

Maggioni, Mauro Wang Y; Chen, Guangliang

Enhanced Detection of Chemical Plumes in Hyperspectral Images and Movies through Improved Background Modeling Inproceedings

Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2015.

BibTeX | Tags: Active Learning, Clustering, diffusion geometry, hyperspectral images, Machine learning, Unsupervised Learning

2014

Altemose, Nicolas; Miga, Karen H; Maggioni, Mauro; Willard, Huntington F

Genomic Characterization of Large Heterochromatic Gaps in the Human Genome Assembly Journal Article

PLoS Comput Biol, 10 (5), pp. e1003628, 2014.

Links | BibTeX | Tags: spectral clustering

2013

Maggioni, Mauro

Geometric Estimation of Probability Measures in High Dimensions Inproceedings

IEEE Asilomar Conference on Signals, Systems and Computers, 2013.

BibTeX | Tags: geometric wavelets, statistics

Crosskey, Miles C; Maggioni, Mauro

Learning of intrinsically low-dimensional stochastic systems in high-dimensions, I Technical Report

2013, (in preparation).

BibTeX | Tags: Manifold Learning, stochastic systems

Gerber, S; Maggioni, Mauro

Multiscale dictionaries, transforms, and learning in high-dimensions Inproceedings

Proc. SPIE conference Optics and Photonics, 2013.

BibTeX | Tags: dictionary learning, imaging, Machine learning, multiscale analysis

Iwen, Mark A; Maggioni, Mauro

Approximation of points on low-dimensional manifolds via random linear projections Journal Article

Inference and Information, 2 (1), pp. 1–31, 2013, (arXiv:1204.3337v1, 2012).

BibTeX | Tags: Machine learning, Manifold Learning, multiscale analysis

2012

Allard, William K; Chen, Guangliang; Maggioni, Mauro

Multi-scale geometric methods for data sets II: Geometric Multi-Resolution Analysis Journal Article

Applied and Computational Harmonic Analysis, 32 (3), pp. 435–462, 2012.

BibTeX | Tags: geometric wavelets, Machine learning, Manifold Learning, multiscale analysis, statistics

Chen, Guangliang; Iwen, Mark A; Chin, Peter S; Maggioni, Mauro

A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements Inproceedings

Visual Communications and Image Processing (VCIP), 2012 IEEE, pp. 1-6, 2012.

BibTeX | Tags: Clustering, diffusion geometry, hyperspectral images, Machine learning, Unsupervised Learning

Bouvrie, Jake; Maggioni, Mauro

Geometric Multiscale Reduction for Autonomous and Controlled Nonlinear Systems Inproceedings

IEEE Conference on Decision and Control (CDC), 2012.

BibTeX | Tags: control theory, geometric wavelets, Machine learning, multiscale analysis

Bouvrie, Jake; Maggioni, Mauro

Efficient Solution of Markov Decision Problems with Multiscale Representations Inproceedings

Proc. 50th Annual Allerton Conference on Communication, Control, and Computing, 2012.

BibTeX | Tags: Machine learning, reinforcement learning, representation learning

Bouvrie, Jake; Maggioni, Mauro

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

2012.

Links | BibTeX | Tags: Machine learning, multiscale analysis, reinforcement learning, representation learning, spectral graph theory, transfer learning

Chen, Guangliang; Iwen, Mark A; Chin, Peter S; Maggioni, Mauro

A Fast Multiscale Framework for Data in High Dimensions: Measure Estimation, Anomaly Detection, and Compressive Measurements Inproceedings

Visual Communications and Image Processing (VCIP), 2012 IEEE, pp. 1-6, 2012.

Links | BibTeX | Tags: Clustering, diffusion geometry, hyperspectral images, Machine learning, Unsupervised Learning

2011

Chen, Guangliang; Little, Anna V; Maggioni, Mauro

Multi-Resolution Geometric Analysis for data in high dimensions Journal Article

Proc. FFT 2011, 2011.

BibTeX | Tags: geometric wavelets, Machine learning, Manifold Learning, multiscale analysis

Maggioni, Mauro

Multiscale Geometric Dictionaries for Point-Cloud Data, Presented at SPARS 11, http://www.math.duke.edu/~mauro/research.html#Talks Journal Article

2011, (Presented at SPARS 11).

Links | BibTeX | Tags: dictionary learning, geometric wavelets, Machine learning, Manifold Learning, multiscale analysis

Lee, J; Maggioni, Mauro

Multiscale Analysis of Time Series of Graphs Conference

Proc. SampTA, 2011.

BibTeX | Tags: random walks, spectral graph theory

Zheng, W; Rohrdanz, M A; Maggioni, Mauro; Clementi, Cecilia

Polymer reversal rate calculated via locally scaled diffusion map Journal Article

J. Chem. Phys., (134), pp. 144108, 2011.

BibTeX | Tags: diffusion geometry, Machine learning, Manifold Learning, molecular dynamics, stochastic systems

Rohrdanz, M A; Zheng, W; Maggioni, Mauro; Clementi, Cecilia

Determination of reaction coordinates via locally scaled diffusion map Journal Article

J. Chem. Phys., (134), pp. 124116, 2011.

BibTeX | Tags: diffusion geometry, Machine learning, Manifold Learning, molecular dynamics, stochastic systems

Chen, Guangliang; Maggioni, Mauro

Multiscale Geometric Dictionaries for Point-Cloud Data Inproceedings

Proc. SampTA, 2011.

BibTeX | Tags: dictionary learning, geometric wavelets, Machine learning, Manifold Learning, multiscale analysis

96 entries « 1 of 2 »
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