T-SNL modifies sequential neural likelihood estimation with truncation to achieve better accuracy, stability, scalability, and amortization for simulation-based inference in state-space models.
An implementation of neural simulation-based inference for param- eter estimation in atlas.Reports on Progress in Physics88, 067801 (2025)
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Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models
T-SNL modifies sequential neural likelihood estimation with truncation to achieve better accuracy, stability, scalability, and amortization for simulation-based inference in state-space models.