Learning Multivariate Hawkes Processes at Scale

28 February 2020

Papers citing "Learning Multivariate Hawkes Processes at Scale"

8 / 8 papers shown

Title
Cardinality-Regularized Hawkes-Granger Model T. Idé Georgios Kollias Dzung Phan Naoki Abe 49 11 0 28 Jan 2025
Marked Temporal Bayesian Flow Point Processes Hui Chen Xuhui Fan Hengyu Liu Longbing Cao AI4TS 26 0 0 25 Oct 2024
Interacting Diffusion Processes for Event Sequence Forecasting Mai Zeng Florence Regol Mark J. Coates AI4TS DiffM 24 0 0 26 Oct 2023
Amortized Network Intervention to Steer the Excitatory Point Processes Zitao Song Wendi Ren Sourav Garg 16 1 0 06 Oct 2023
Improvements on Scalable Stochastic Bayesian Inference Methods for Multivariate Hawkes Process Alex Ziyu Jiang Abel Rodríguez 11 1 0 26 Sep 2023
Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes Maya Okawa Tomoharu Iwata Yusuke Tanaka Hiroyuki Toda Takeshi Kurashima H. Kashima AI4TS 9 10 0 24 May 2021
Neural Temporal Point Processes For Modelling Electronic Health Records Joseph Enguehard Dan Busbridge Adam James Bozson Claire Woodcock Nils Y. Hammerla 19 43 0 27 Jul 2020
A Metric Space for Point Process Excitations Myrl G. Marmarelis Greg Ver Steeg Aram Galstyan 11 1 0 05 May 2020