Abstract: Various aspects involve time-delay neural networks for risk assessment or other outcome predictions. For instance, a risk assessment computing system accesses time-series data of predictor variables associated with a target entity and determines a risk indicator for the target entity by inputting the time-series data of the predictor variables into a time-delay neural network. The time-delay neural network includes a set of attribute networks each corresponding to a predictor variable and a decision network configured to generate the risk indicator from outputs of the set of attribute networks. The risk assessment computing system further transmits, to a remote computing device, a responsive message including the risk indicator for use in controlling access to one or more interactive computing environments by the target entity.