Author

N. Desassis

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Preprint Oct 2026

Neural Simulation-Based Inference for space-time Gaussian processes

This work proposes two neural network architectures - Neural Bayes Estimation (NBE) and Neural Ratio Estimation (NRE) - to learn the parameters of Gaussian spatio-temporal Gneiting-Mat{\'e}rn models with advection, and adopts a sliding-window approach to achieve fully amortized inference.

Alexandre Loret, Lucia Clarotto, N. Desassis et al. · 0 citations