Publications

103 entries « 1 of 3 »

2022

Mauro Maggioni Jinchao Feng, Patrick Martin

Learning Interaction Variables and Kernels from Observations of Agent-Based Systems Proceeding Forthcoming

Forthcoming.

Abstract | Links | BibTeX | Tags: agent-based models, inverse problems, Machine learning, statistics

Popescu, Dan M.; Shade, Julie K.; Lai, Changxin; Aronis, Konstantinos N.; David Ouyang,; Moorthy, M. Vinayaga; Cook, Nancy R.; Lee, Daniel C.; Kadish, Alan; Albert, Christine M.; Wu, Katherine C.; Maggioni, Mauro; Trayanova, Natalia A.

Arrhythmic sudden death survival prediction using deep learning analysis of scarring in the heart Journal Article

In: Nature Cardiovascular Research, 2022.

Links | BibTeX | Tags: Machine learning, medical imaging, neural networks

Lanteri, Alessandro; Maggioni, Mauro; Vigogna, Stefano

Conditional regression for single-index models Journal Article Forthcoming

In: Bernoulli, Forthcoming.

Links | BibTeX | Tags: regression, statistics

2021

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

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

In: Cardiovascular Digital Health Journal, 2021.

Links | BibTeX | Tags: imaging, Machine learning, medical imaging

Zhong, Ming; Miller, Jason; Maggioni, Mauro

Machine Learning for Discovering Effective Interaction Kernels between Celestial Bodies from Ephemerides Unpublished

2021.

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

Liao, Wenjing; Maggioni, Mauro; Vigogna, S

Multiscale regression on intrinsically low-dimensional sets Journal Article

In: Mathematics in Engineering, vol. 4, no. 4, 2021.

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

Sichen Yang Felix X.-F. Ye, Mauro Maggioni

Nonlinear model reduction for slow-fast stochastic systems near manifolds Journal Article

In: 2021.

Abstract | Links | BibTeX | Tags: inverse problems, Machine learning, Manifold Learning, model reduction, random walks, statistics, stochastic systems

Mauro Maggioni Fei Lu, Sui Tang

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

In: Foundation of Computational Mathematics, 2021.

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

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

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

In: Stochastic Processes and their Applications, vol. 132, 2021.

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

Jason Miller Mauro Maggioni, Hongda Qiu

Learning Interaction Kernels for Agent Systems on Riemannian Manifolds Proceeding

ICML, 2021.

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

Mauro Maggioni Fei Lu, Sui Tang

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

In: Journ. Mach. Learn. res., vol. 2, no. 32, pp. 1–67, 2021.

Abstract | Links | BibTeX | Tags: Active Learning, interacting particle systems, inverse problems, Machine learning

2020

Sui Tang Jason Miller, Ming Zhong

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

Forthcoming.

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

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

In: Journal of Machine Learning Research, vol. 21, no. 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 R ; C David R.

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

In: 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

In: IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1829-1845, 2019, ISSN: 1558-0644.

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

Maggioni, Mauro; Miller, Jason; Zhong, Ming

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

In: Physica D: Nonlinear Phenomena, 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

In: Journ. Mach. Learn. Res., vol. 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 E Yim Jason; RandalMaggioni, Mauro Burns; Vogelstein, Joshua T

Sparse Projection Oblique Randomer Forests Journal Article

In: 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

In: Foundations of Data Science, vol. 1, no. “2639-8001-2019-3-271”, pp. 271, 2019, ISSN: A0000-0002.

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

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

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

In: Proceedings of the National Academy of Sciences, vol. 116, no. 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

In: eLife, pp. 8:e41690, 2019.

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

Liao, Wenjing; Maggioni, Mauro

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

In: Journal of machine learning Research, vol. 20, no. 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: in preparation, 2018.

BibTeX | Tags:

Murphy, James M; Maggioni, Mauro

Iterative Active Learning with Diffusion Geometry for Hyperspectral Images Inproceedings

In: Proc. of WHISPERS, 2018.

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

Murphy, James M; Maggioni, Mauro

Diffusion geometric methods for fusion of remotely sensed data Inproceedings

In: 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 imaging, imaging, Machine learning, Unsupervised Learning

2017

Maggioni, Mauro

Geometric Measure Estimation Journal Article

In: 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

In: Journal of Multiscale Modeling and Simulation, vol. 15, no. 1, pp. 110–156, 2017, (arxiv: 1404.0667).

Links | 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

In: 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

In: 2017.

BibTeX | Tags: Machine learning, statistics, supervised learning

Gerber, Sam; Maggioni, Mauro

Multiscale Strategies for Discrete Optimal Transport Journal Article

In: Journ. Mach. Learn. Res., no. 72, pp. 1–32, 2017.

Links | 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

In: Applied and Computational Harmonic Analysis, vol. 43, no. 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

Wang, Yang; Chen, Guangliang; Maggioni, Mauro

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

In: IEEE Journal of selected topics in applied Earth observations and remote sensing, vol. 9, no. 9, pp. 4316–4324, 2016.

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

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

Dependence Discovery from Multimodal Data via Multiscale Generalized Correlation Journal Article

In: 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

In: 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 journal

2016.

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

Liao, Wenjing; Maggioni, Mauro; Vigogna, S

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

In: 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

In: J. Mach. Learn. Res., vol. 17, no. 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

In: arXiv preprint arXiv:1506.03410, 2015.

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

Maggioni, Mauro Y. Wang; Chen, Guangliang

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

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

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

2014

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

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

In: PLoS Comput Biol, vol. 10, no. 5, pp. e1003628, 2014.

Links | BibTeX | Tags: spectral clustering

2013

Maggioni, Mauro

Geometric Estimation of Probability Measures in High Dimensions Inproceedings

In: 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

In: 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

In: Inference and Information, vol. 2, no. 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

In: Applied and Computational Harmonic Analysis, vol. 32, no. 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

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

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

Bouvrie, Jake; Maggioni, Mauro

Geometric Multiscale Reduction for Autonomous and Controlled Nonlinear Systems Inproceedings

In: 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

In: 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

In: 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

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

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

103 entries « 1 of 3 »
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