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arXiv Detail & Related papers (2026-06-12T03:11:06Z)
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arXiv Detail & Related papers (2021-07-28T16:00:47Z)
DriveGAN: Towards a Controllable High-Quality Neural Simulation [147.6822288981004]
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AutoSimulate: (Quickly) Learning Synthetic Data Generation [70.82315853981838]
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Using Machine Learning to Emulate Agent-Based Simulations [0.0]
We evaluate the performance of multiple machine-learning methods as statistical emulators for use in the analysis of agent-based models (ABMs) We propose that agent-based modelling would benefit from using machine-learning methods for emulation, as this can facilitate more robust sensitivity analyses for the models.
arXiv Detail & Related papers (2020-05-05T11:48:36Z)

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