Abstract: Broadly speaking, the present disclosure describes a method of modeling a temporal point process (TPP). For each sequence in the TPP, the method treats the sequence as one of a plurality of distinct tasks, and applies meta learning to the distinct tasks. Applying meta learning to the distinct tasks may comprise applying a neural process to the distinct tasks; the neural process may be an attentive neural process.