382a8606a85ca6ec7c06185a1a95ce8b-Supplemental-Conference.pdf

The diagram of our proposed Neural Lad framework is illustrated in Fig.1. The decoder part: The decoder is a one-step convolution layer to generate the outputs with length τ. The pseudo code of the proposed Neural Lad is described in Alg. 1. The training time of Neural Lad for the toy dataset is about 8s per epoch. It is worth noting that we use larger weight decay for PhysioNe sepsis dataset to avoid over-fitting.