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.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.