Publications

110 entries « 1 of 3 »

2024

Wu, Yantao; Maggioni, Mauro

Conditional Regression for the Nonlinear Single-Variable Model Bachelor Thesis

2024.

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

Loeffler, Shane E.; Ahmad, Zan; Ali, Syed Yusuf; Yamamoto, Carolyna; Popescu, Dan M.; Yee, Alana; Lal, Yash; Trayanova, Natalia; Maggioni, Mauro

Graph Fourier Neural Kernels (G-FuNK): Learning Solutions of Nonlinear Diffusive Parametric PDEs on Multiple Domains Conference

2024.

Abstract | Links | BibTeX | Tags: digital twins, Laplacian eigenfunctions, neural networks, PDEs, precision medicine

Kuemmerle, Christian; Maggioni, Mauro; Tang, Sui

Learning Transition Operators From Sparse Space-Time Samples Journal Article

In: IEEE Transactions on Information Theory, 2024.

Abstract | Links | BibTeX | Tags: dynamical systems, Machine learning, optimization, sparsity, statistics

Bayrakta, E; Lu, F; Maggioni, M; Wu, R; Yang, S

Probabilistic cellular automata with local transition matrices: synchronization, ergodicity, and inference Journal Article

In: arXiv preprint arXiv:2405.02928, 2024.

Links | BibTeX | Tags: inverse problems, Machine learning, statistics

Yin, Minglang; Charon, Nicolas; Brody, Ryan; Lu, Lu; Trayanova, Natalia; Maggioni, Mauro

A scalable framework for learning the geometry-dependent solution operators of partial differential equations Journal Article

In: Nature Computational Science, 2024.

Abstract | Links | BibTeX | Tags: digital twins, Machine learning, model reduction, neural networks, PDEs, precision medicine

Lang, Quanjun; Wang, Xiong; Lu, Fei; Maggioni, Mauro

Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel Bachelor Thesis

2024.

Links | BibTeX | Tags: interacting particle systems, Machine learning, optimization, statistics, stochastic systems

2023

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

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

In: J Nonlinear Sci, vol. 34, iss. 1, no. 22, 2023.

Abstract | Links | BibTeX | Tags: inverse problems, Machine learning, Manifold Learning, random walks, statistics, Unsupervised Learning

Miller, Jason; Tang, Sui; Zhong, Ming; Maggioni, Mauro

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

In: Sampling Theory, Signal Processing, and Data Analysis , vol. 21, 2023.

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

An, Qingci; Kevrekidis, Yannis; Lu, Fei; Maggioni, Mauro

Unsupervised learning of observation functions in state-space models by nonparametric moment methods Journal Article

In: Foundations of Data Science, 2023.

Links | BibTeX | Tags: computational mathematics, hidden Markov models, inverse problems, Machine learning, optimal transport, regression, statistics, stochastic systems, Unsupervised Learning

2022

Feng, Jinchao; Maggioni, Mauro; Martin, Patrick; Zhong, Ming

Learning Interaction Variables and Kernels from Observations of Agent-Based Systems Proceedings Article

In: IFAC Proceedings, 2022.

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: digital twins, Machine learning, medical imaging, neural networks, precision medicine

Lanteri, Alessandro; Maggioni, Mauro; Vigogna, Stefano

Conditional regression for single-index models Journal Article

In: Bernoulli, 2022.

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: digital twins, 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, Stefano

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

Lu, Fei; Maggioni, Mauro; Tang, Sui

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 Proceedings

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

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 Proceedings Article

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 Proceedings Article

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 Proceedings Article

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 Proceedings Article

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 Proceedings Article

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 Proceedings Article

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 Proceedings Article

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 Proceedings Article

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 Proceedings Article

In: Proc. SPIE conference Optics and Photonics, 2013.

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

110 entries « 1 of 3 »
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