Recurrent Neural Network

Recurrent Marked Temporal Point Process

The timing modeling is not embedded in the complex structure of RNN, so the pdf of $t$ could be solved analytically

LSTM

The most popular RNN

Neural Hawkes Process

Modeling of timing is embedded into the LSTM structure. so the hidden state $h(t)$ is a function of $t$(continuous)