Publications

Show all

2020

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

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

to appear in Stochastic Processes and their Applications, Forthcoming.

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

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: agent-based models, 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

2019

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

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

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

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

2017

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).

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

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

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

Maggioni, Mauro

Geometric Measure Estimation Journal Article

in preparation, 2017.

BibTeX | Tags: geometric wavelets, 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

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

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

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

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

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

2010

Chen, Guangliang; Maggioni, Mauro

Multiscale Geometric Methods for Data Sets III: multiple planes Journal Article

in preparation, 2010.

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

2009

Little, Anna V; Jung, Y -M; Maggioni, Mauro

Multiscale Estimation of Intrinsic Dimensionality of Data Sets Inproceedings

Proc. A.A.A.I., 2009.

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

Little, Anna V; Lee, J; Jung, Y -M; Maggioni, Mauro

Estimation of intrinsic dimensionality of samples from noisy low-dimensional manifolds in high dimensions with multiscale $SVD$ Inproceedings

Proc. S.S.P., 2009.

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

Designed and hosted by Prisma Analytics Inc.