Neural Spatiotemporal Point Processes: Trends and Challenges

13 February 2025

Papers citing "Neural Spatiotemporal Point Processes: Trends and Challenges"

29 / 29 papers shown

Title
Deep spatio-temporal point processes: Advances and new directions Xiuyuan Cheng Zheng Dong Yao Xie AI4TS 46 0 0 08 Apr 2025
Unlocking Point Processes through Point Set Diffusion David Lüdke Enric Rabasseda Raventós Marcel Kollovieh Stephan Günnemann DiffM 55 3 0 29 Oct 2024
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Yuqi Chen Kan Ren Yansen Wang Yuchen Fang Weiwei Sun Dongsheng Li AI4TS 96 34 0 16 Feb 2024
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction G. Jin Lingbo Liu Fuxian Li Jincai Huang AI4TS GNN 3DPC 42 35 0 15 Nov 2023
Add and Thin: Diffusion for Temporal Point Processes David Lüdke Marin Bilovs Oleksandr Shchur Marten Lienen Stephan Günnemann DiffM 56 17 0 02 Nov 2023
Automatic Integration for Spatiotemporal Neural Point Processes Zihao Zhou Rose Yu 3DPC AI4TS 48 5 0 09 Oct 2023
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes Yixuan Zhang Quyu Kong Feng Zhou 37 4 0 09 Oct 2023
EasyTPP: Towards Open Benchmarking Temporal Point Processes Siqiao Xue Xiaoming Shi Zhixuan Chu Yan Wang Hongyan Hao ... Chenyuan Pan James Y. Zhang Qingsong Wen Junqing Zhou Hongyuan Mei AI4TS 60 31 0 16 Jul 2023
Deep graph kernel point processes Zheng Dong Matthew Repasky Xiuyuan Cheng Yao Xie 3DPC 70 3 0 20 Jun 2023
Spatio-temporal Diffusion Point Processes Yuan Yuan Jingtao Ding Chenyang Shao Depeng Jin Yong Li DiffM 49 46 0 21 May 2023
Spatio-temporal point processes with deep non-stationary kernels Zheng Dong Xiuyuan Cheng Yao Xie BDL AI4TS 46 9 0 21 Nov 2022
Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point Processes Negar Erfanian Santiago Segarra Maarten V. de Hoop AI4TS 43 1 0 05 Nov 2022
Exploring Generative Neural Temporal Point Process Haitao Lin Lirong Wu Guojiang Zhao Pai Liu Stan Z. Li DiffM 41 27 0 03 Aug 2022
Statistical Deep Learning for Spatial and Spatio-Temporal Data C. Wikle A. Zammit‐Mangion BDL 119 47 0 05 Jun 2022
Neural Point Process for Learning Spatiotemporal Event Dynamics Zihao Zhou Xingyi Yang Ryan Rossi Handong Zhao Rose Yu 3DPC 58 32 0 12 Dec 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 54 72 0 25 Oct 2021
An Empirical Study: Extensive Deep Temporal Point Process Haitao Lin Cheng Tan Lirong Wu Zhangyang Gao Stan. Z. Li AI4TS 49 13 0 19 Oct 2021
Understanding the Spread of COVID-19 Epidemic: A Spatio-Temporal Point Process View Shuang Li Lu Wang Xinyun Chen Yixiang Fang Yan Song 26 8 0 24 Jun 2021
Neural Spectral Marked Point Processes Shixiang Zhu Haoyun Wang Zheng Dong Xiuyuan Cheng Yao Xie 37 15 0 20 Jun 2021
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling Shixiang Zhu Ruyi Ding Minghe Zhang Pascal Van Hentenryck Yao Xie 3DPC 28 22 0 15 May 2020
Transformer Hawkes Process Simiao Zuo Haoming Jiang Zichong Li T. Zhao H. Zha AI4TS 63 292 0 21 Feb 2020
Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur Marin Bilos Stephan Günnemann AI4TS 54 172 0 26 Sep 2019
Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information Maya Okawa Tomoharu Iwata Takeshi Kurashima Yusuke Tanaka Hiroyuki Toda N. Ueda AI4TS 43 61 0 21 Jun 2019
Neural Jump Stochastic Differential Equations Junteng Jia Austin R. Benson BDL 57 225 0 24 May 2019
Fully Neural Network based Model for General Temporal Point Processes T. Omi N. Ueda Kazuyuki Aihara BDL AI4TS 45 178 0 23 May 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 346 5,081 0 19 Jun 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 636 130,942 0 12 Jun 2017
Wasserstein Learning of Deep Generative Point Process Models Shuai Xiao Mehrdad Farajtabar X. Ye Junchi Yan Le Song H. Zha DiffM 51 170 0 23 May 2017
Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs Phong Le Willem H. Zuidema 45 59 0 01 Mar 2016