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Bayesian calibration of differentiable agent-based models.

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Public risk perception and emotion on Twitter during the Covid-19 pandemic., и . Appl. Netw. Sci., 5 (1): 99 (2020)Some challenges of calibrating differentiable agent-based models., , , и . CoRR, (2023)Data-driven modeling of public risk perception and emotion on Twitter during the Covid-19 pandemic., и . CoRR, (2020)Interventionally Consistent Surrogates for Agent-based Simulators., , , , , , и . CoRR, (2023)Gradient-Assisted Calibration for Financial Agent-Based Models., , , , , и . ICAIF, стр. 288-296. ACM, (2023)Calibrating Agent-based Models to Microdata with Graph Neural Networks., , , и . CoRR, (2022)Population Synthesis as Scenario Generation for Simulation-based Planning under Uncertainty., , , , , и . AAMAS, стр. 490-498. ACM, (2024)Bayesian calibration of differentiable agent-based models., , , , и . CoRR, (2023)Black-box Bayesian inference for economic agent-based models., , , и . CoRR, (2022)Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation., , и . AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 11131-11144. PMLR, (2022)