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Flexible Intensities Matter: A comprehensive re-evaluation of Classical and Neural Temporal Point Processes

NeurIPS 2026 · Time series › Causal and generative time series · approach: Generative temporal point processes

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Re-evaluates classical and neural temporal point process models under a unified comparison across intensity parameterizations, with large-scale medical benchmarks.

Problem

Recent neural temporal point process (TPP) models are reported to outperform classical baselines such as Hawkes processes, but a systematic comparison across model families and intensity parameterizations has been lacking, and large-scale medical benchmarks are scarce.

Approach

Systematic re-evaluation of classical and neural TPPs across model families and intensity parameterizations, emphasizing flexible intensity functions and large-scale medical event data.

Experimental setup

Baselines: Hawkes process

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