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Learning Multivariate Hawkes Processes at Scale

Learning Multivariate Hawkes Processes at Scale

28 February 2020
Maximilian Nickel
Matt Le
ArXiv (abs)PDFHTML

Papers citing "Learning Multivariate Hawkes Processes at Scale"

8 / 8 papers shown
Cardinality-Regularized Hawkes-Granger Model
Cardinality-Regularized Hawkes-Granger ModelNeural Information Processing Systems (NeurIPS), 2022
T. Idé
Georgios Kollias
Dzung Phan
Naoki Abe
351
17
0
28 Jan 2025
Marked Temporal Bayesian Flow Point Processes
Marked Temporal Bayesian Flow Point Processes
Hui Chen
Xuhui Fan
Hengyu Liu
Longbing Cao
AI4TS
232
0
0
25 Oct 2024
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
356
8
0
26 Oct 2023
Amortized Network Intervention to Steer the Excitatory Point Processes
Amortized Network Intervention to Steer the Excitatory Point Processes
Zitao Song
Wendi Ren
Sourav Garg
407
1
0
06 Oct 2023
Improvements on Scalable Stochastic Bayesian Inference Methods for
  Multivariate Hawkes Process
Improvements on Scalable Stochastic Bayesian Inference Methods for Multivariate Hawkes ProcessStatistics and computing (Stat. Comput.), 2023
Alex Ziyu Jiang
Abel Rodríguez
268
1
0
26 Sep 2023
Dynamic Hawkes Processes for Discovering Time-evolving Communities'
  States behind Diffusion Processes
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion ProcessesKnowledge Discovery and Data Mining (KDD), 2021
Maya Okawa
Tomoharu Iwata
Yusuke Tanaka
Hiroyuki Toda
Takeshi Kurashima
H. Kashima
AI4TS
262
17
0
24 May 2021
Neural Temporal Point Processes For Modelling Electronic Health Records
Neural Temporal Point Processes For Modelling Electronic Health Records
Joseph Enguehard
Dan Busbridge
Adam James Bozson
Claire Woodcock
Nils Y. Hammerla
368
53
0
27 Jul 2020
A Metric Space for Point Process Excitations
A Metric Space for Point Process ExcitationsJournal of Artificial Intelligence Research (JAIR), 2020
Myrl G. Marmarelis
Greg Ver Steeg
Aram Galstyan
378
1
0
05 May 2020
1
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