Dataset and results for dPL and MdPL Experiments

This deposition contains compressed archives of all major model outputs and training artifacts for differentiable Parameter Learning (dPL) and Multi-task dPL (MdPL) experiments. Included are: - dPL_Gz: dPL Gaussian-zipped models and logs - dPL_Surrogate: dPL surrogate model weights and logs - ILS_dPL: ILS simulation outputs calibrated with dPL - ILS_LOOCV: Leave-one-out CV results for ILS - ILS_MdPL: ILS outputs using Multi-task dPL calibration - ILS_ORI: Original uncalibrated ILS outputs - MdPL_Gz: MdPL Gaussian-zipped artifacts - MdPL_Surrogate: MdPL surrogate models and logs - Sensitivity_Analysis: Parameter sensitivity results - Trainset: Training datasets for reproducibility Each archive is a tar.gz file. See README.md for details on unpacking and usage.