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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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dlanzieri/WL_Implicit-Inference

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WL Implicit-Inference

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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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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