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On the Predictive Accuracy of Neural Temporal Point Process Models for
  Continuous-time Event Data
v1v2 (latest)

On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data

29 June 2023
T. Bosser
Souhaib Ben Taieb
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "On the Predictive Accuracy of Neural Temporal Point Process Models for Continuous-time Event Data"

9 / 9 papers shown
Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
Alex Boyd
Andrew Warrington
Taha A. Kass-Hout
Parminder Bhatia
Danica Xiao
115
0
0
02 Nov 2025
Edit-Based Flow Matching for Temporal Point Processes
Edit-Based Flow Matching for Temporal Point Processes
David Lüdke
Marten Lienen
Marcel Kollovieh
Stephan Günnemann
DiffM
164
1
0
07 Oct 2025
Categorical Distributions are Effective Neural Network Outputs for Event Prediction
Categorical Distributions are Effective Neural Network Outputs for Event Prediction
Kevin Doran
Tom Baden
UQCV
103
0
0
29 Jul 2025
Preventing Conflicting Gradients in Neural Marked Temporal Point
  Processes
Preventing Conflicting Gradients in Neural Marked Temporal Point Processes
T. Bosser
Souhaib Ben Taieb
AI4TS
304
0
0
11 Dec 2024
EventFlow: Forecasting Temporal Point Processes with Flow Matching
EventFlow: Forecasting Temporal Point Processes with Flow Matching
Gavin Kerrigan
Kai Nelson
Padhraic Smyth
AI4TS
285
1
0
09 Oct 2024
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of
  Cascades for Information Popularity Prediction
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity PredictionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Xin Jing
Yichen Jing
Yuhuan Lu
Bangchao Deng
Sikun Yang
Dingqi Yang
118
0
0
25 Sep 2024
Distribution-Free Conformal Joint Prediction Regions for Neural Marked
  Temporal Point Processes
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point ProcessesMachine-mediated learning (ML), 2024
Victor Dheur
T. Bosser
Rafael Izbicki
Souhaib Ben Taieb
AI4TS
400
7
0
09 Jan 2024
Add and Thin: Diffusion for Temporal Point Processes
Add and Thin: Diffusion for Temporal Point ProcessesNeural Information Processing Systems (NeurIPS), 2023
David Lüdke
Marin Bilovs
Oleksandr Shchur
Marten Lienen
Stephan Günnemann
DiffM
291
24
0
02 Nov 2023
Interacting Diffusion Processes for Event Sequence Forecasting
Interacting Diffusion Processes for Event Sequence ForecastingInternational Conference on Machine Learning (ICML), 2023
Mai Zeng
Florence Regol
Mark Coates
AI4TSDiffM
205
7
0
26 Oct 2023
1