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Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich
  Contextual Information

Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information

21 June 2019
Maya Okawa
Tomoharu Iwata
Takeshi Kurashima
Yusuke Tanaka
Hiroyuki Toda
N. Ueda
    AI4TS
ArXivPDFHTML

Papers citing "Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information"

26 / 26 papers shown
Title
Deep spatio-temporal point processes: Advances and new directions
Deep spatio-temporal point processes: Advances and new directions
Xiuyuan Cheng
Zheng Dong
Yao Xie
AI4TS
33
0
0
08 Apr 2025
Neural Spatiotemporal Point Processes: Trends and Challenges
Neural Spatiotemporal Point Processes: Trends and Challenges
Sumantrak Mukherjee
Mouad Elhamdi
George Mohler
David Selby
Yao Xie
Sebastian Vollmer
Gerrit Grossmann
AI4TS
259
1
0
13 Feb 2025
An Event-centric Framework for Predicting Crime Hotspots with Flexible
  Time Intervals
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals
Jiahui Jin
Yi Hong
Guandong Xu
Jinghui Zhang
Jun Tang
Hancheng Wang
46
0
0
02 Nov 2024
Unlocking Point Processes through Point Set Diffusion
Unlocking Point Processes through Point Set Diffusion
David Lüdke
Enric Rabasseda Raventós
Marcel Kollovieh
Stephan Günnemann
DiffM
29
2
0
29 Oct 2024
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching
Gavin Kerrigan
Kai Nelson
Padhraic Smyth
AI4TS
48
1
0
09 Oct 2024
Federated Neural Nonparametric Point Processes
Federated Neural Nonparametric Point Processes
Hui Chen
Hengyu Liu
Hengyu Liu
Xuhui Fan
Zhilin Zhao
Feng Zhou
Christopher J. Quinn
Longbing Cao
FedML
46
0
0
08 Oct 2024
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes
TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes
Zizhuo Meng
Boyu Li
Xuhui Fan
Zhidong Li
Yang Wang
Fang Chen
Feng Zhou
AI4TS
28
1
0
23 Jul 2024
Cumulative Distribution Function based General Temporal Point Processes
Cumulative Distribution Function based General Temporal Point Processes
Maolin Wang
Yu Pan
Zenglin Xu
Ruocheng Guo
Xiangyu Zhao
Wanyu Wang
Yiqi Wang
Zitao Liu
Langming Liu
AI4TS
17
0
0
01 Feb 2024
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event
  Prediction
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction
G. Jin
Lingbo Liu
Fuxian Li
Jincai Huang
AI4TS
GNN
3DPC
34
34
0
15 Nov 2023
Add and Thin: Diffusion for Temporal Point Processes
Add and Thin: Diffusion for Temporal Point Processes
David Lüdke
Marin Bilovs
Oleksandr Shchur
Marten Lienen
Stephan Günnemann
DiffM
43
14
0
02 Nov 2023
Integration-free Training for Spatio-temporal Multimodal Covariate Deep
  Kernel Point Processes
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes
Yixuan Zhang
Quyu Kong
Feng Zhou
19
4
0
09 Oct 2023
Spatio-temporal Diffusion Point Processes
Spatio-temporal Diffusion Point Processes
Yuan Yuan
Jingtao Ding
Chenyang Shao
Depeng Jin
Yong Li
DiffM
23
43
0
21 May 2023
Modeling Events and Interactions through Temporal Processes -- A Survey
Modeling Events and Interactions through Temporal Processes -- A Survey
Angelica Liguori
Luciano Caroprese
Marco Minici
Bruno Veloso
Francesco Spinnato
M. Nanni
Giuseppe Manco
João Gama
AI4TS
25
2
0
10 Mar 2023
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams
Fast and Multi-aspect Mining of Complex Time-stamped Event Streams
Kota Nakamura
Yasuko Matsubara
Koki Kawabata
Yuhei Umeda
Yuichiro Wada
Yasushi Sakurai
AI4TS
38
6
0
07 Mar 2023
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes
Cox-Hawkes: doubly stochastic spatiotemporal Poisson processes
Xenia Miscouridou
Samir Bhatt
G. Mohler
Seth Flaxman
Swapnil Mishra
19
4
0
21 Oct 2022
Bayesian Neural Hawkes Process for Event Uncertainty Prediction
Bayesian Neural Hawkes Process for Event Uncertainty Prediction
Manisha Dubey
Ragja Palakkadavath
P. K. Srijith
BDL
19
6
0
29 Dec 2021
Neural Point Process for Learning Spatiotemporal Event Dynamics
Neural Point Process for Learning Spatiotemporal Event Dynamics
Zihao Zhou
Xingyi Yang
Ryan A. Rossi
Handong Zhao
Rose Yu
3DPC
34
32
0
12 Dec 2021
Multi-axis Attentive Prediction for Sparse EventData: An Application to
  Crime Prediction
Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction
Yi Sui
Ga Wu
Scott Sanner
21
2
0
05 Oct 2021
Scalable Marked Point Processes for Exchangeable and Non-Exchangeable
  Event Sequences
Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences
A. Panos
Ioannis Kosmidis
P. Dellaportas
12
2
0
30 May 2021
Long Horizon Forecasting With Temporal Point Processes
Long Horizon Forecasting With Temporal Point Processes
Prathamesh Deshpande
Kamlesh Marathe
A. De
Sunita Sarawagi
AI4TS
26
20
0
08 Jan 2021
UNIPoint: Universally Approximating Point Processes Intensities
UNIPoint: Universally Approximating Point Processes Intensities
Alexander Soen
A. Mathews
Daniel Grixti-Cheng
Lexing Xie
3DPC
11
0
0
28 Jul 2020
Event Prediction in the Big Data Era: A Systematic Survey
Event Prediction in the Big Data Era: A Systematic Survey
Liang Zhao
AI4TS
38
53
0
19 Jul 2020
A Metric Space for Point Process Excitations
A Metric Space for Point Process Excitations
Myrl G. Marmarelis
Greg Ver Steeg
Aram Galstyan
37
1
0
05 May 2020
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly
  Supervised Action Recognition and Localization
AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization
Xiaoyu Zhang
Changsheng Li
Haichao Shi
Xiaobin Zhu
Peng Li
Jing Dong
34
37
0
27 Nov 2019
Intensity-Free Learning of Temporal Point Processes
Intensity-Free Learning of Temporal Point Processes
Oleksandr Shchur
Marin Bilos
Stephan Günnemann
AI4TS
27
168
0
26 Sep 2019
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
1