The packages developed as part of this work are discussed below and made available via the above notebooks. This simply calls the code fromhttps://github.com/charliemarx/ Figure 1 shows the the diagnostic graphs as considered in [4]. Note that the notebook does not haveafixedseed and this instability can beexplored by re-runningthenotebook. SHAP values are calculated on an identical RandomForestClassifier as used for the RF MCR. Thegraphs generated bytheNotebooks areperMCR estimation method, rather thanthe comparison graphs shown in the paper.

Recent advances in text-to-image generation have enabled the creation of high-quality images with diverse applications.

Foreffectiveknowledge transfer,weadopt the idea of domain classifier so that student training is guided by discriminative features invariant totherepresentational space shift between teacher andstudent.

Generated video plans are then grounded to visual-motor control, through an inverse dynamics model that infers actions from generated videos.