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Transformer Hawkes Process

Transformer Hawkes Process

21 February 2020
Simiao Zuo
Haoming Jiang
Zichong Li
T. Zhao
H. Zha
    AI4TS
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Papers citing "Transformer Hawkes Process"

48 / 148 papers shown
Title
Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point
  Processes
Beyond Hawkes: Neural Multi-event Forecasting on Spatio-temporal Point Processes
Negar Erfanian
Santiago Segarra
Maarten V. de Hoop
AI4TS
16
1
0
05 Nov 2022
An Empirical Study on Data Leakage and Generalizability of Link
  Prediction Models for Issues and Commits
An Empirical Study on Data Leakage and Generalizability of Link Prediction Models for Issues and Commits
Maliheh Izadi
Pooya Rostami Mazrae
T. Mens
Arie van Deursen
35
2
0
01 Nov 2022
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal
  Point Processes
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes
Govind V Waghmare
Ankur Debnath
Siddhartha Asthana
Aakarsh Malhotra
33
6
0
27 Oct 2022
Counterfactual Neural Temporal Point Process for Estimating Causal
  Influence of Misinformation on Social Media
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
Yizhou Zhang
Defu Cao
Yong-Jin Liu
CML
27
23
0
14 Oct 2022
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon
  Prediction of Event Sequences
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
Siqiao Xue
Xiaoming Shi
James Y. Zhang
Hongyuan Mei
AI4TS
19
34
0
04 Oct 2022
HyperHawkes: Hypernetwork based Neural Temporal Point Process
HyperHawkes: Hypernetwork based Neural Temporal Point Process
Manisha Dubey
P. K. Srijith
M. Desarkar
AI4TS
123
1
0
01 Oct 2022
Differentially Private Estimation of Hawkes Process
Differentially Private Estimation of Hawkes Process
Simiao Zuo
Tianyi Liu
Tuo Zhao
H. Zha
26
1
0
15 Sep 2022
Granger Causal Chain Discovery for Sepsis-Associated Derangements via
  Continuous-Time Hawkes Processes
Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes
S. Wei
Yao Xie
C. Josef
Rishikesan Kamaleswaran
59
9
0
09 Sep 2022
Challenges and opportunities in applying Neural Temporal Point Processes
  to large scale industry data
Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data
Dominykas Seputis
Jevgenij Gamper
Remigijus Paulavičius
AI4TS
11
1
0
18 Aug 2022
Online Learning for Mixture of Multivariate Hawkes Processes
Online Learning for Mixture of Multivariate Hawkes Processes
Mohsen Ghassemi
Niccolò Dalmasso
Simran Lamba
Vamsi K. Potluru
Sameena Shah
T. Balch
Manuela Veloso
16
3
0
16 Aug 2022
Learning Point Processes using Recurrent Graph Network
Learning Point Processes using Recurrent Graph Network
Saurabh Dash
Xueyuan She
Saibal Mukhopadhyay
GNN
11
3
0
11 Aug 2022
Exploring Generative Neural Temporal Point Process
Exploring Generative Neural Temporal Point Process
Haitao Lin
Lirong Wu
Guojiang Zhao
Pai Liu
Stan Z. Li
DiffM
18
25
0
03 Aug 2022
Differentially Private Learning of Hawkes Processes
Differentially Private Learning of Hawkes Processes
Mohsen Ghassemi
Eleonora Kreavcić
Niccolò Dalmasso
Vamsi K. Potluru
T. Balch
Manuela Veloso
20
1
0
27 Jul 2022
Modeling Continuous Time Sequences with Intermittent Observations using
  Marked Temporal Point Processes
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
Vinayak Gupta
Srikanta J. Bedathur
Sourangshu Bhattacharya
A. De
AI4TS
41
13
0
23 Jun 2022
ProActive: Self-Attentive Temporal Point Process Flows for Activity
  Sequences
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences
Vinayak Gupta
Srikanta J. Bedathur
AI4TS
30
16
0
10 Jun 2022
CEP3: Community Event Prediction with Neural Point Process on Graph
CEP3: Community Event Prediction with Neural Point Process on Graph
Xuhong Wang
Sirui Chen
Yixuan He
Minjie Wang
Quan Gan
Yupu Yang
Junchi Yan
25
0
0
21 May 2022
Mutual Distillation Learning Network for Trajectory-User Linking
Mutual Distillation Learning Network for Trajectory-User Linking
Wei Chen
Shuzhe Li
Chao Huang
Yanwei Yu
Yongguo Jiang
Junyu Dong
24
29
0
08 May 2022
Learning Self-Modulating Attention in Continuous Time Space with
  Applications to Sequential Recommendation
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation
Chao Chen
Haoyu Geng
Nianzu Yang
Junchi Yan
Daiyue Xue
Jianping Yu
Xiaokang Yang
HAI
AI4TS
27
11
0
30 Mar 2022
Variational Neural Temporal Point Process
Variational Neural Temporal Point Process
Deokjun Eom
Sehyun Lee
Jaesik Choi
BDL
AI4TS
38
2
0
17 Feb 2022
Learning Temporal Point Processes for Efficient Retrieval of Continuous
  Time Event Sequences
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
Vinayak Gupta
Srikanta J. Bedathur
A. De
AI4TS
25
13
0
17 Feb 2022
Flexible Triggering Kernels for Hawkes Process Modeling
Flexible Triggering Kernels for Hawkes Process Modeling
Yamac Alican Isik
Connor Davis
Paidamoyo Chapfuwa
Ricardo Henao
AI4TS
14
0
0
03 Feb 2022
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal
  Point Processes
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes
Chao Qu
Xiaoyu Tan
Siqiao Xue
Xiaoming Shi
James Y. Zhang
Hongyuan Mei
OffRL
30
17
0
29 Jan 2022
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to
  Bayesian Nonparametric Mixture Models
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture Models
Yixin Wang
Anthony Degleris
Alex H. Williams
Scott W. Linderman
31
3
0
13 Jan 2022
Transformer Embeddings of Irregularly Spaced Events and Their
  Participants
Transformer Embeddings of Irregularly Spaced Events and Their Participants
Chenghao Yang
Hongyuan Mei
Jason Eisner
AI4TS
20
58
0
31 Dec 2021
Universal Transformer Hawkes Process with Adaptive Recursive Iteration
Universal Transformer Hawkes Process with Adaptive Recursive Iteration
Lu-ning Zhang
Jian-wei Liu
Zhibin Song
Xin Zuo
17
4
0
29 Dec 2021
Bayesian Neural Hawkes Process for Event Uncertainty Prediction
Bayesian Neural Hawkes Process for Event Uncertainty Prediction
Manisha Dubey
Ragja Palakkadavath
P. K. Srijith
BDL
16
6
0
29 Dec 2021
Temporal Attention Augmented Transformer Hawkes Process
Temporal Attention Augmented Transformer Hawkes Process
Lu-ning Zhang
Jian-wei Liu
Zhibin Song
Xin Zuo
AI4TS
28
10
0
29 Dec 2021
Tri-Transformer Hawkes Process: Three Heads are better than one
Tri-Transformer Hawkes Process: Three Heads are better than one
Zhi-yan Song
Jian-wei Liu
Lu-ning Zhang
Ya-nan Han
15
0
0
24 Dec 2021
Learning Generalizable Vision-Tactile Robotic Grasping Strategy for
  Deformable Objects via Transformer
Learning Generalizable Vision-Tactile Robotic Grasping Strategy for Deformable Objects via Transformer
Yunhai Han
Kelin Yu
Rahul Batra
Nathan Boyd
Chaitanya Mehta
T. Zhao
Y. She
S. Hutchinson
Ye Zhao
ViT
29
43
0
13 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
Modelling Direct Messaging Networks with Multiple Recipients for Cyber
  Deception
Modelling Direct Messaging Networks with Multiple Recipients for Cyber Deception
Kristen Moore
Cody James Christopher
David Liebowitz
Surya Nepal
R. Selvey
26
4
0
21 Nov 2021
Learning Neural Models for Continuous-Time Sequences
Learning Neural Models for Continuous-Time Sequences
Vinayak Gupta
AI4TS
20
0
0
13 Nov 2021
Deep Neyman-Scott Processes
Deep Neyman-Scott Processes
Chengkuan Hong
C. Shelton
20
5
0
06 Nov 2021
An Empirical Study: Extensive Deep Temporal Point Process
An Empirical Study: Extensive Deep Temporal Point Process
Haitao Lin
Cheng Tan
Lirong Wu
Zhangyang Gao
Stan. Z. Li
AI4TS
13
12
0
19 Oct 2021
Extracting Attentive Social Temporal Excitation for Sequential
  Recommendation
Extracting Attentive Social Temporal Excitation for Sequential Recommendation
Yunzhe Li
Yue Ding
Bo Chen
Xin Xin
Yule Wang
Yuxiang Shi
Ruiming Tang
Dong Wang
AI4TS
27
15
0
28 Sep 2021
Region Invariant Normalizing Flows for Mobility Transfer
Region Invariant Normalizing Flows for Mobility Transfer
Vinayak Gupta
Srikanta J. Bedathur
69
12
0
13 Sep 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time
  Series Imputation
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation
Y. Tashiro
Jiaming Song
Yang Song
Stefano Ermon
BDL
DiffM
24
516
0
07 Jul 2021
Mitigating Performance Saturation in Neural Marked Point Processes:
  Architectures and Loss Functions
Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions
Tianbo Li
Tian-jian Luo
Yiping Ke
Sinno Jialin Pan
12
4
0
07 Jul 2021
Neural Spectral Marked Point Processes
Neural Spectral Marked Point Processes
Shixiang Zhu
Haoyun Wang
Zheng Dong
Xiuyuan Cheng
Yao Xie
8
14
0
20 Jun 2021
Nonlinear Hawkes Processes in Time-Varying System
Nonlinear Hawkes Processes in Time-Varying System
Feng Zhou
Quyu Kong
Yixuan Zhang
Cheng Feng
Jun Zhu
19
6
0
09 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for
  Signal Recognition
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition
Yihong Dong
Ying Peng
Muqiao Yang
Songtao Lu
Qingjiang Shi
46
9
0
05 Jun 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
Nonlinear Hawkes Process with Gaussian Process Self Effects
Nonlinear Hawkes Process with Gaussian Process Self Effects
Noa Malem-Shinitski
C. Ojeda
Manfred Opper
SyDa
12
2
0
20 May 2021
Deep Convolution for Irregularly Sampled Temporal Point Clouds
Deep Convolution for Irregularly Sampled Temporal Point Clouds
Erich Merrill
Stefan Lee
Li Fuxin
Thomas G. Dietterich
Alan Fern
3DPC
31
1
0
01 May 2021
Survey on Modeling Intensity Function of Hawkes Process Using Neural
  Models
Survey on Modeling Intensity Function of Hawkes Process Using Neural Models
Jayesh Malaviya
AI4TS
8
2
0
22 Apr 2021
Hawkes Processes on Graphons
Hawkes Processes on Graphons
Hongteng Xu
Dixin Luo
H. Zha
37
1
0
04 Feb 2021
Long Horizon Forecasting With Temporal Point Processes
Long Horizon Forecasting With Temporal Point Processes
Prathamesh Deshpande
Kamlesh Marathe
A. De
Sunita Sarawagi
AI4TS
24
20
0
08 Jan 2021
Fast and Flexible Temporal Point Processes with Triangular Maps
Fast and Flexible Temporal Point Processes with Triangular Maps
Oleksandr Shchur
Nicholas Gao
Marin Bilovs
Stephan Günnemann
8
33
0
22 Jun 2020
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