This project aims to compare the posterior probability distributions from weak lensing mass map using different CNN compressed map summary statistics. The CNN will be trained using different loss functions: the MSE, the MAE, the GNLL and the VMIM.
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dlanzieri/WL_Implicit-Inference
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Project aimed at comparing the posterior probability distributions from the CNN map compressed statistics with the MSE, MAE, GNLL and VMIM loss function.
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