Differentiable Agent-based Epidemiology
Mechanistic simulators are an indispensable tool for epidemiology to explore the behavior of complex, dynamic infections under varying …
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DeepABM: Scalable and Efficient Agent-Based Simulations via Graph Convolutional Frameworks - a Case Study for COVID-19 Spread and Interventions
We introduce DeepABM, a computational framework for agent-based modeling that leverages geometric message passing for simulating action …
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