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Transformer Embeddings of Irregularly Spaced Events and Their
  Participants

Transformer Embeddings of Irregularly Spaced Events and Their Participants

31 December 2021
Chenghao Yang
Hongyuan Mei
Jason Eisner
    AI4TS
ArXivPDFHTML

Papers citing "Transformer Embeddings of Irregularly Spaced Events and Their Participants"

38 / 38 papers shown
Title
ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes
ADiff4TPP: Asynchronous Diffusion Models for Temporal Point Processes
Amartya Mukherjee
Ruizhi Deng
He Zhao
Yuzhen Mao
Leonid Sigal
Frederick Tung
DiffM
AI4TS
53
0
0
29 Apr 2025
LAST SToP For Modeling Asynchronous Time Series
LAST SToP For Modeling Asynchronous Time Series
Shubham Gupta
Thibaut Durand
Graham Taylor
Lilian W. Białokozowicz
AI4TS
42
0
0
04 Feb 2025
Preventing Conflicting Gradients in Neural Marked Temporal Point
  Processes
Preventing Conflicting Gradients in Neural Marked Temporal Point Processes
T. Bosser
Souhaib Ben Taieb
AI4TS
69
0
0
11 Dec 2024
A Bayesian Mixture Model of Temporal Point Processes with Determinantal
  Point Process Prior
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Prior
Yiwei Dong
Shaoxin Ye
Yuwen Cao
Qiyu Han
Hongteng Xu
Hanfang Yang
35
1
0
07 Nov 2024
Nonparametric estimation of Hawkes processes with RKHSs
Nonparametric estimation of Hawkes processes with RKHSs
Anna Bonnet
Maxime Sangnier
37
0
0
01 Nov 2024
Marked Temporal Bayesian Flow Point Processes
Marked Temporal Bayesian Flow Point Processes
Hui Chen
Xuhui Fan
Hengyu Liu
Longbing Cao
AI4TS
35
0
0
25 Oct 2024
A Simple Baseline for Predicting Events with Auto-Regressive Tabular
  Transformers
A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers
Alex Stein
Samuel Sharpe
Doron Bergman
Senthil Kumar
C. Bayan Bruss
John P. Dickerson
Tom Goldstein
Micah Goldblum
LMTD
AI4TS
55
1
0
14 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
43
1
0
09 Oct 2024
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning
  Large Language Models
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models
Zefang Liu
Yinzhu Quan
32
0
0
02 Oct 2024
Decomposable Transformer Point Processes
Decomposable Transformer Point Processes
Aristeidis Panos
29
1
0
26 Sep 2024
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event
  Prediction
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction
Ivan Karpukhin
Andrey Savchenko
23
1
0
23 Aug 2024
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?
Ivan Karpukhin
F. Shipilov
Andrey Savchenko
AI4TS
59
4
0
20 Jun 2024
Decoupled Marked Temporal Point Process using Neural Ordinary
  Differential Equations
Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations
Yujee Song
Donghyun Lee
Rui Meng
Won Hwa Kim
AI4TS
23
4
0
10 Jun 2024
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
Zitao Song
Chao Yang
Chaojie Wang
Bo An
Shuang Li
63
4
0
03 Jun 2024
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival,
  and Recurrent Events with Concurrent Latent Structure
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
Zhiyue Zhang
Yao Zhao
Yan Xu
19
0
0
04 Apr 2024
Pretext Training Algorithms for Event Sequence Data
Pretext Training Algorithms for Event Sequence Data
Yimu Wang
He Zhao
Ruizhi Deng
Frederick Tung
Greg Mori
AI4TS
34
0
0
16 Feb 2024
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event
  Prediction
XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction
Tingsong Xiao
Zelin Xu
Wenchong He
Jim Su
Yupu Zhang
...
Jason Petho
Jiang Bian
P. Tighe
Parisa Rashidi
Zhe Jiang
AI4TS
33
0
0
03 Feb 2024
Self-Supervised Contrastive Pre-Training for Multivariate Point
  Processes
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes
Xiao Shou
D. Subramanian
D. Bhattacharjya
Tian Gao
Kristin P. Bennet
3DPC
SSL
8
0
0
01 Feb 2024
Distribution-Free Conformal Joint Prediction Regions for Neural Marked
  Temporal Point Processes
Distribution-Free Conformal Joint Prediction Regions for Neural Marked Temporal Point Processes
V. Dheur
T. Bosser
Rafael Izbicki
Souhaib Ben Taieb
AI4TS
30
5
0
09 Jan 2024
Real-time Network Intrusion Detection via Decision Transformers
Real-time Network Intrusion Detection via Decision Transformers
Jingdi Chen
Hanhan Zhou
Yongsheng Mei
Gina Adam
Nathaniel D. Bastian
Tian-Shing Lan
24
15
0
12 Dec 2023
Explainable History Distillation by Marked Temporal Point Process
Explainable History Distillation by Marked Temporal Point Process
Sishun Liu
Ke Deng
Yan Wang
Xiuzhen Zhang
35
0
0
13 Nov 2023
Non-Autoregressive Diffusion-based Temporal Point Processes for
  Continuous-Time Long-Term Event Prediction
Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction
Wang-Tao Zhou
Zhao Kang
Ling Tian
DiffM
19
2
0
02 Nov 2023
A Systematic Review for Transformer-based Long-term Series Forecasting
A Systematic Review for Transformer-based Long-term Series Forecasting
Liyilei Su
Xumin Zuo
Rui Li
Xin Wang
Heng Zhao
Bingding Huang
AI4TS
42
4
0
31 Oct 2023
Interacting Diffusion Processes for Event Sequence Forecasting
Interacting Diffusion Processes for Event Sequence Forecasting
Mai Zeng
Florence Regol
Mark J. Coates
AI4TS
DiffM
38
0
0
26 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Keli Zhang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
35
118
0
16 Oct 2023
Prompt-augmented Temporal Point Process for Streaming Event Sequence
Prompt-augmented Temporal Point Process for Streaming Event Sequence
Siqiao Xue
Yan Wang
Zhixuan Chu
Xiaoming Shi
Caigao Jiang
Hongyan Hao
Gangwei Jiang
Xiaoyun Feng
James Y. Zhang
Junqing Zhou
AI4TS
32
23
0
08 Oct 2023
YFlows: Systematic Dataflow Exploration and Code Generation for
  Efficient Neural Network Inference using SIMD Architectures on CPUs
YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs
Cyrus Zhou
Zack Hassman
Ruize Xu
Dhirpal Shah
Vaughn Richard
Yanjing Li
32
1
0
01 Oct 2023
Enhancing Asynchronous Time Series Forecasting with Contrastive
  Relational Inference
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference
Yan Wang
Zhixuan Chu
Tao Zhou
Caigao Jiang
Hongyan Hao
...
Daixin Wang
Longfei Li
James Y. Zhang
Siqiao Xue
Junqing Zhou
BDL
AI4TS
115
0
0
06 Sep 2023
Proactive Resource Request for Disaster Response: A Deep Learning-based
  Optimization Model
Proactive Resource Request for Disaster Response: A Deep Learning-based Optimization Model
Hongzhe Zhang
Xiaohang Zhao
Xiao Fang
Bintong Chen
24
5
0
31 Jul 2023
EasyTPP: Towards Open Benchmarking Temporal Point Processes
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
37
29
0
16 Jul 2023
Tapestry of Time and Actions: Modeling Human Activity Sequences using
  Temporal Point Process Flows
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows
Vinayak Gupta
Srikanta J. Bedathur
AI4TS
32
1
0
13 Jul 2023
Intensity-free Convolutional Temporal Point Process: Incorporating Local
  and Global Event Contexts
Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event Contexts
Wangtao Zhou
Zhao Kang
Ling Tian
Yimu Su
30
11
0
24 Jun 2023
Deep graph kernel point processes
Deep graph kernel point processes
Zheng Dong
Matthew Repasky
Xiuyuan Cheng
Yao Xie
3DPC
25
3
0
20 Jun 2023
Language Models Can Improve Event Prediction by Few-Shot Abductive
  Reasoning
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning
Xiaoming Shi
Siqiao Xue
Kangrui Wang
Fan Zhou
James Y. Zhang
Jun-ping Zhou
Chenhao Tan
Hongyuan Mei
ReLM
LRM
30
42
0
26 May 2023
Meta Temporal Point Processes
Meta Temporal Point Processes
Wonho Bae
Mohamed Osama Ahmed
Frederick Tung
Gabriel L. Oliveira
AI4TS
22
18
0
27 Jan 2023
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
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
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
40
9
0
05 Jun 2021
1