Mauro Maggioni — accepted AI-conference papers

2021

Learning Interaction Kernels for Agent Systems on Riemannian Manifolds

Mauro Maggioni, Jason J Miller, Hongda Qiu, Ming Zhong

ICML 2021spotlight

Interacting agent and particle systems are extensively used to model complex phenomena in science and engineering. We consider the problem of learning interaction kernels in these dynamical systems constrained to evolve on Riemannian manifolds from given trajectory data. The models we consider are b…

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2016

Object recognition in art drawings: Transfer of a neural network

Rujie Yin, Eric E. Monson, Elizabeth Honig, Ingrid Daubechies, Mauro Maggioni

ICASSP 2016accepted

We consider the problem of recognizing objects in collections of art works, in view of automatically labeling, searching and organizing databases of art works. To avoid manually labelling objects, we introduce a framework for transferring a convolutional neural network (CNN), trained on available la…

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