Rajmonda Sulo Caceres — accepted AI-conference papers

2025

Reducing the Sensitivity of Neural Physics Simulators to Mesh Topology via Pretraining

Nathan Vaska, Justin Goodwin, Robin Walters, Rajmonda Sulo Caceres

ICASSP 2025accepted

Meshes are used to represent complex objects in high fidelity physics simulators across a variety of domains, such as radar sensing and aerodynamics. There is growing interest in using neural networks to accelerate physics simulations, and also a growing body of work on applying neural networks dire…

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2017

Network discovery using content and homophily

Steven Thomas Smith, Rajmonda Sulo Caceres, Kenneth D. Senne, Molly McMahon, Timothy Greer

ICASSP 2017accepted

A new approach for targeted graph sampling is proposed in which graph sampling and classification occur together, and content-based homophily is exploited to achieve improved classification performance. The application of network discovery of relevant content is considered using an approach that may…

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