2020
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Zhong, Ming; Miller, Jason; Maggioni, Mauro Data-driven discovery of emergent behaviors in collective dynamics Journal Article Physica D: Nonlinear Phenomena, pp. 132542, 2020, ISSN: 0167-2789. Links | BibTeX | Tags: agent-based models, interacting particle systems, inverse problems, Machine learning, statistics @article{ZHONG2020132542,
title = {Data-driven discovery of emergent behaviors in collective dynamics},
author = {Ming Zhong and Jason Miller and Mauro Maggioni},
url = {http://www.sciencedirect.com/science/article/pii/S0167278919308152},
doi = {https://doi.org/10.1016/j.physd.2020.132542},
issn = {0167-2789},
year = {2020},
date = {2020-01-01},
journal = {Physica D: Nonlinear Phenomena},
pages = {132542},
keywords = {agent-based models, interacting particle systems, inverse problems, Machine learning, statistics},
pubstate = {published},
tppubtype = {article}
}
|
2019
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Maggioni, Mauro; Miller, Jason; Zhong, Ming Data-driven Discovery of Emergent Behaviors in Collective Dynamics Journal Article submitted, 2019. Links | BibTeX | Tags: agent-based models, interacting particle systems, inverse problems, Machine learning, model reduction, statistics @article{DiscoveryEmergentBehaviors,
title = {Data-driven Discovery of Emergent Behaviors in Collective Dynamics},
author = {Mauro Maggioni and Jason Miller and Ming Zhong},
url = {https://arxiv.org/abs/1912.11123},
year = {2019},
date = {2019-01-01},
journal = {submitted},
keywords = {agent-based models, interacting particle systems, inverse problems, Machine learning, model reduction, statistics},
pubstate = {published},
tppubtype = {article}
}
|
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 @article{IdentifiabilityInteractionFunctions,
title = {On the identifiability of interaction functions in systems of interacting particles},
author = {Fei Lu and Zhongyang Li and Mauro Maggioni and Sui Tang and Cheng Zhang},
url = {https://arxiv.org/abs/1912.11965},
year = {2019},
date = {2019-01-01},
journal = {submitted},
keywords = {agent-based models, interacting particle systems, inverse problems, Machine learning, model reduction, statistics},
pubstate = {published},
tppubtype = {article}
}
|
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 @article{LMT:AgentsHeterogeneous,
title = {Learning interaction kernels in heterogeneous systems of agents from multiple trajectories},
author = {Fei Lu and Mauro Maggioni and Sui Tang},
url = {https://arxiv.org/abs/1910.04832},
year = {2019},
date = {2019-01-01},
journal = {submitted},
keywords = {agent-based models, interacting particle systems, inverse problems, Machine learning, model reduction, statistics},
pubstate = {published},
tppubtype = {article}
}
|
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 @article{LMTZ:AgentsNonParametric,
title = {Nonparametric inference of interaction laws in systems of agents from trajectory data},
author = {Fei Lu and Ming Zhong and Sui Tang and Mauro Maggioni},
url = {https://www.pnas.org/content/116/29/14424},
doi = {10.1073/pnas.1822012116},
issn = {0027-8424},
year = {2019},
date = {2019-01-01},
journal = {Proceedings of the National Academy of Sciences},
volume = {116},
number = {29},
pages = {14424--14433},
publisher = {National Academy of Sciences},
keywords = {agent-based models, interacting particle systems, inverse problems, Machine learning, model reduction, statistics},
pubstate = {published},
tppubtype = {article}
}
|
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 @misc{lu2019learning,
title = {Learning interaction kernels in heterogeneous systems of agents from multiple trajectories},
author = {Fei Lu and Mauro Maggioni and Sui Tang},
url = {https://arxiv.org/abs/1910.04832},
year = {2019},
date = {2019-01-01},
keywords = {interacting particle systems, inverse problems, Machine learning, model reduction, statistics},
pubstate = {published},
tppubtype = {misc}
}
|
2016
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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 @journal{BFHM:LearningInteractionRulesI,
title = {Inferring Interaction Rules From Observations of Evolutive Systems I: The Variational Approach},
author = {Mattia Bongini and Massimo Fornasier and M Hansen and Mauro Maggioni},
url = {https://arxiv.org/pdf/1602.00342.pdf},
doi = {https://doi.org/10.1142/S0218202517500208},
year = {2016},
date = {2016-01-01},
journal = {Mathematical Models and Methods in Applied Sciences},
volume = {27},
number = {05},
pages = {909-951},
keywords = {agent-based models, interacting particle systems, Machine learning, statistics},
pubstate = {published},
tppubtype = {journal}
}
|