Temporal Point Process Analysis
![[PDF] Variational Neural Temporal Point Process | Semantic Scholar](https://figures.semanticscholar.org/a237ae2376638211018d64abfa55028737694468/3-Figure1-1.png "Temporal Point Process Analysis")
![[R] Add and Thin: Diffusion for Temporal Point Processes : r ...](https://preview.redd.it/r-add-and-thin-diffusion-for-temporal-point-processes-v0-ydhlwfte9h5c1.jpg?width=2544&format=pjpg&auto=webp&s=5f725cdb0edab93fe3603dc102318d09ca6cb0e5 "Temporal Point Process Analysis")
%20are%20widely%20used%20to%20model%20the%20timing%20and%20occurrence%20of%20events%20in%20domains%20such%20as%20social%20networks%2C%20transportation%20systems%2C... "Temporal Point Process Analysis")
%20constructs%20an%20intensity%20function%20by%20taking%20the%20occurrence%20times%20into%20account.%20Nevertheless%2C%20occurrence%20time%20may%20not%20be%20the%20only%20relevant%20factor%2C%20other%20contextual%20data%2C%20termed%20covariates%2C%20may%20also%20impact%20the%20event%20evolution.%20Incorporating%20such%20covariates%20into%20the%20model%20is%20beneficial%2C%20while%20distinguishing%20their%20relevance%20to%20the%20event%20dynamics%20is%20of%20great%20practical%20significance.%20In%20this%20work%2C%20we%20propose%20a%20Transformer-based%20covariate%20temporal%20point%20process%20(TransFeat-TPP)%20model%20to%20improve%20the%20interpretability%20of%20deep%20covariate-TPPs%20while%20maintaining%20powerful%20expressiveness.%20TransFeat-TPP%20can%20effectively%20model%20complex%20relationships%20between%20events%20and%20covariates%2C%20and%20provide%20enhanced%20interpretability%20by%20discerning%20the%20importance%20of%20various%20covariates.%20Experimental%20results%20on%20synthetic%20and%20real%20datasets%20demonstrate%20improved%20prediction%20accuracy%20and%20consistently%20interpretable%20feature%20importance%20when%20compared%20to%20existing%20deep%20covariate-TPPs. "Temporal Point Process Analysis")
![[2307.08097] EasyTPP: Towards Open Benchmarking Temporal Point Processes](https://ar5iv.labs.arxiv.org/html/2307.08097/assets/x2.png "Temporal Point Process Analysis")
![[논문 리뷰] Neuro-Symbolic Temporal Point Processes](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/neuro-symbolic-temporal-point-processes-3.png "Temporal Point Process Analysis")
![[2307.08097] EasyTPP: Towards Open Benchmarking Temporal Point Processes](https://ar5iv.labs.arxiv.org/html/2307.08097/assets/x1.png "Temporal Point Process Analysis")
![[2401.15846] Meta-Learning for Neural Network-based Temporal Point ...](https://ar5iv.labs.arxiv.org/html/2401.15846/assets/x2.png "Temporal Point Process Analysis")
![[논문 리뷰] On Foundation Models for Temporal Point Processes to Accelerate ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/on-foundation-models-for-temporal-point-processes-to-accelerate-scientific-discovery-2.png "Temporal Point Process Analysis")
![[2301.12023] Meta Temporal Point Processes](https://ar5iv.labs.arxiv.org/html/2301.12023/assets/x5.png "Temporal Point Process Analysis")
![[2511.19375] Product Depth for Temporal Point Processes Observed Only ...](https://ar5iv.labs.arxiv.org/html/2511.19375/assets/figure4.png "Temporal Point Process Analysis")
![[논문 리뷰] Speculative Sampling for Parametric Temporal Point Processes](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/speculative-sampling-for-parametric-temporal-point-processes-1.png "Temporal Point Process Analysis")
![[2301.12023] Meta Temporal Point Processes](https://ar5iv.labs.arxiv.org/html/2301.12023/assets/x4.png "Temporal Point Process Analysis")
![[2511.19375] Product Depth for Temporal Point Processes Observed Only ...](https://ar5iv.labs.arxiv.org/html/2511.19375/assets/figure2.png "Temporal Point Process Analysis")
![[논문 리뷰] Deep spatio-temporal point processes: Advances and new directions](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/deep-spatio-temporal-point-processes-advances-and-new-directions-4.png "Temporal Point Process Analysis")
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