A D4-equivariant CNN calibrated with analytic gradients measures weak-lensing shear from isolated-galaxy simulations with sub-0.1% multiplicative bias and ~10% lower shape noise than FPFS.
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D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation
A D4-equivariant CNN calibrated with analytic gradients measures weak-lensing shear from isolated-galaxy simulations with sub-0.1% multiplicative bias and ~10% lower shape noise than FPFS.