The main novelty seems to be an extra layer of indirection with the prior network (whether it is an autoregressive transformer or a diffusion network), which predicts an image embedding based on the ...

Control Input,Disturbance Observer,Optimal Control,Root Mean Square Error,Tracking Error,Angular Velocity,Asymptotically Stable,Control Strategy,Coordinate ...

And several NILM algorithms with '_multidim' suffix, such as bilstm_pytorch_multidim, ae_pytorch_multidim, seq2point_pytorch_multidim. They are original algorithms with multiple input features(P or P ...

False Alarm Rate,Fault Diagnosis,Process Monitoring,Canonical Correlation Analysis,Control Limits,Fault Diagnosis Method,Incipient Fault,Incipient Fault Detection ...