Publications

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2021

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

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

2021.

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

Fei Lu Mauro Maggioni, Sui Tang

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

Journ. Mach. Learn. res., 2 (32), pp. 1–67, 2021.

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

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

Jason Miller Sui Tang, Ming Zhong Mauro Maggioni

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

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

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

0000

Lu, Fei; Maggioni, Mauro; Tang, Sui

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

Journ. Mach. Learn. Res., 22 (32), pp. 1–67, 0000.

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