For an expensive simulator inside an MCMC DA setup like this, do you see amortised inference (SBI / neural posterior estimation) as more transformative than surrogating the forward model, since it attacks the per-pixel MCMC bottleneck directly? A neural operator framing (FNO / DeepONet) mapping envi
