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between theoretical and computational high-energy physics. The research contributes to the world-leading PYTHIA Monte Carlo Event Generator, which serves as the baseline for the majority of experimental
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contributing to final layer predictions. • Objective 3: Non-convex Optimization and Local Minima -- Study the theoretical foundations and empirical behaviors of deep neural networks in the context of non-convex
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Inference Tool (GAMBIT) Community I study various theoretical frameworks that extend the standard models of the elementary particles and cosmology to understand the nature of dark matter, dark forces and dark
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evaluation frameworks for peer-based programs by expanding on the team’s previous work in this area. By involving the communities and services in the co-design process, the project ensures that the evaluation