Dosing models often use differential equations to model biological dynamics.

Conditional image synthesis aims tocreate an image according tothe given control signals.

Sequence-to-Sequence (Seq2Seq) neural text generation models, especially the pre-trained ones (e.g., BART and T5), have exhibited compelling performance on various natural language generation tasks. However,the black-box nature of these models limits their application in tasks where specific rules (e.g., controllable constraints, prior knowledge) need to be executed.

Inverse optimal control can be used to characterize behavior in sequential decision-making tasks.