mlsanityData to 7 Oct 2026

Lecture Notes: Temporal Point Processes and the Conditional Intensity Function

arXiv 1806.00221 ↗First posted 1 Jun 2018stat.MEcited by 40

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Abstract (arXiv)

These short lecture notes contain a not too technical introduction to point processes on the time line. The focus lies on defining these processes using the conditional intensity function. Furthermore, likelihood inference, methods of simulation and residual analysis for temporal point processes specified by a conditional intensity function are considered.

Key facts. Cited by 40 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jun 2018.

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Citing papers per year: 2021: 4; 2022: 9; 2023: 9; 2024: 7; 2025: 8; 2026: 3.

40 papers.

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  1. 2025Edit Flows: Flow Matching with Edit Operationscited by 53
  2. 2023Spatio-temporal Diffusion Point Processescited by 52
  3. 2022Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processescited by 23
  4. 2022A Graph Regularized Point Process Model For Event Propagation Sequencecited by 17
  5. 2024Decomposable Transformer Point Processescited by 15
  6. 2023On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Datacited by 13
  7. 2023Transformer-Based Neural Marked Spatio Temporal Point Process Model for Football Match Events Analysiscited by 10
  8. 2023Interacting Diffusion Processes for Event Sequence Forecastingcited by 9
  9. 2024Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processescited by 7
  10. 2025In-Context Learning of Temporal Point Processes with Foundation Inference Modelscited by 7
  11. 2025Edit-Based Flow Matching for Temporal Point Processescited by 7
  12. 2021Detecting Anomalous Event Sequences with Temporal Point Processescited by 6
28 more
  1. 2024Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equationscited by 6
  2. 2023Modeling Events and Interactions through Temporal Processes -- A Surveycited by 5
  3. 2025Byte-token Enhanced Language Models for Temporal Point Processes Analysiscited by 5
  4. 2025Neural Spatiotemporal Point Processes: Trends and Challengescited by 5
  5. 2021A Differentiable Point Process with Its Application to Spiking Neural Networkscited by 4
  6. 2022The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networkscited by 4
  7. 2022A Survey on Temporal Graph Representation Learning and Generative Modelingcited by 4
  8. 2024RoTHP: Rotary Position Embedding-based Transformer Hawkes Processcited by 3
  9. 2022Learning Point Processes using Recurrent Graph Networkcited by 2
  10. 2022Online Learning for Mixture of Multivariate Hawkes Processescited by 2
  11. 2022How Stable is Knowledge Base Knowledge?cited by 2
  12. 2022Modeling Time-Series and Spatial Data for Recommendations and Other Applicationscited by 2
  13. 2025Advances in Temporal Point Processes: Bayesian, Neural, and LLM Approachescited by 2
  14. 2025TPP-SD: Accelerating Transformer Point Process Sampling with Speculative Decodingcited by 2
  15. 2022Marked Neural Spatio-Temporal Point Process Involving a Dynamic Graph Neural Networkcited by 1
  16. 2023Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Point Processcited by 1
  17. 2021Predicting the future with a scale-invariant temporal memory for the pastcited by 0
  18. 2021Influence Estimation and Maximization via Neural Mean-Field Dynamicscited by 0
  19. 2023Continuous-time convolutions model of event sequencescited by 0
  20. 2023Intensity-free Integral-based Learning of Marked Temporal Point Processescited by 0
  21. 2023Reinforcement Logic Rule Learning for Temporal Point Processescited by 0
  22. 2024Robust Deep Hawkes Process under Label Noise of Both Event and Occurrencecited by 0
  23. 2024Marked Temporal Bayesian Flow Point Processescited by 0
  24. 2024Preventing Conflicting Gradients in Neural Marked Temporal Point Processescited by 0
  25. 2025Addressing Mark Imbalance in Integration-free Neural Marked Temporal Point Processescited by 0
  26. 2026Modeling Patient Care Trajectories with Transformer Hawkes Processescited by 0
  27. 2026Latent Block-Diffusion Temporal Point Processes: A Semi-Autoregressive Framework for Asynchronous Event Sequence Generationcited by 0
  28. 2026Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modelingcited by 0