A 3D CNN encoder plus a masked autoregressive flow recovers Ωm and σ8 from simulated HI tomographic data cubes at z=1 with R² ≥ 0.91 on test sets, with reduced but still useful accuracy out of distribution.
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Probabilistic cosmological inference on HI tomographic data
A 3D CNN encoder plus a masked autoregressive flow recovers Ωm and σ8 from simulated HI tomographic data cubes at z=1 with R² ≥ 0.91 on test sets, with reduced but still useful accuracy out of distribution.