Robust quantum dots charge autotuning using neural network uncertainty - Output data

Outputs of the model training and the offline autotuning experiments presented in the paper: "Robust quantum dots charge autotuning using neural network uncertainty". For convenience, the results are splitted in several zipped files: run_outputs_light.zip: contains only settings and results text files (sufficient for compiling result tables). run_outputs_full_scan.zip: contains complete scan of the diagrams (for qualitative analyse) run_outputs_part<N>.zip: contains all autotuning simulation output, grouped by seed (images and video output types might vary between seeds) Each folder in the zipped files represent a run that includes: log file plots / images run settings performance results pytorch model parameters See README.txt for more information about the file strucutre.