Agentic Systems for Calibrating Cosmological Simulations
Calibrating a cosmological simulation is an expensive, high-dimensional parameter optimization task. Previous works employ Bayesian optimization for automation, which treats the simulator as a black box and precludes the incorporation of human domain knowledge or workflow into the selection policy. We propose AgenticTu...
Chaipat Tirapongprasert, M. Ho
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