Search Results for author: Santiago Romero-Brufau

Found 1 papers, 0 papers with code

DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks

no code implementations9 Oct 2021 Ayush Chopra, Esma Gel, Jayakumar Subramanian, Balaji Krishnamurthy, Santiago Romero-Brufau, Kalyan S. Pasupathy, Thomas C. Kingsley, Ramesh Raskar

We introduce DeepABM, a framework for agent-based modeling that leverages geometric message passing of graph neural networks for simulating action and interactions over large agent populations.

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