A neural network trained to predict latent parameter scores can approximate the Fisher score and support Fisher forecasting and gradient-based Bayesian inference from simulations.
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Fisher Score Matching for Simulation-Based Forecasting and Inference
A neural network trained to predict latent parameter scores can approximate the Fisher score and support Fisher forecasting and gradient-based Bayesian inference from simulations.