Transformer Hawkes Process

21 February 2020

Papers citing "Transformer Hawkes Process"

50 / 114 papers shown

Title
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
Interpretable Hybrid-Rule Temporal Point Processes Yunyang Cao Juekai Lin Hongye Wang Wenhao Li Bo Jin AI4TS 36 0 0 15 Apr 2025
Deep spatio-temporal point processes: Advances and new directions Xiuyuan Cheng Zheng Dong Yao Xie AI4TS 28 0 0 08 Apr 2025
Learning Structure-enhanced Temporal Point Processes with Gromov-Wasserstein Regularization Qingmei Wang Fanmeng Wang Bing Su Hongteng Xu AI4TS 46 0 0 29 Mar 2025
Neural Spatiotemporal Point Processes: Trends and Challenges Sumantrak Mukherjee Mouad Elhamdi George Mohler David Selby Yao Xie Sebastian Vollmer Gerrit Grossmann AI4TS 205 1 0 13 Feb 2025
LAST SToP For Modeling Asynchronous Time Series Shubham Gupta Thibaut Durand Graham Taylor Lilian W. Białokozowicz AI4TS 42 0 0 04 Feb 2025
Cardinality-Regularized Hawkes-Granger Model T. Idé Georgios Kollias Dzung Phan Naoki Abe 73 11 0 28 Jan 2025
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 Yiwei Dong Shaoxin Ye Yuwen Cao Qiyu Han Hongteng Xu Hanfang Yang 30 1 0 07 Nov 2024
Nonparametric estimation of Hawkes processes with RKHSs Anna Bonnet Maxime Sangnier 34 0 0 01 Nov 2024
Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation Samuele Peri Alessio Russo Gabor Fodor Pablo Soldati OffRL 31 0 0 30 Oct 2024
Unlocking Point Processes through Point Set Diffusion David Lüdke Enric Rabasseda Raventós Marcel Kollovieh Stephan Günnemann DiffM 24 1 0 29 Oct 2024
Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models Letian Gong Yan Lin Xinyue Zhang Yiwen Lu Xuedi Han Yichen Liu Shengnan Guo Youfang Lin Huaiyu Wan 49 5 0 29 Oct 2024
Marked Temporal Bayesian Flow Point Processes Hui Chen Xuhui Fan Hengyu Liu Longbing Cao AI4TS 35 0 0 25 Oct 2024
Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang Wenbin Zhou Liyan Xie Shixiang Zhu 40 1 0 17 Oct 2024
Towards Better Multi-head Attention via Channel-wise Sample Permutation Shen Yuan Hongteng Xu 17 1 0 14 Oct 2024
EventFlow: Forecasting Continuous-Time Event Data with Flow Matching Gavin Kerrigan Kai Nelson Padhraic Smyth AI4TS 43 1 0 09 Oct 2024
Federated Neural Nonparametric Point Processes Hui Chen Hengyu Liu Hengyu Liu Xuhui Fan Zhilin Zhao Feng Zhou Christopher J. Quinn Longbing Cao FedML 40 0 0 08 Oct 2024
Is Score Matching Suitable for Estimating Point Processes? Haoqun Cao Zizhuo Meng Tianjun Ke Feng Zhou 29 1 0 05 Oct 2024
EBES: Easy Benchmarking for Event Sequences Dmitry Osin Igor Udovichenko Viktor Moskvoretskii Egor Shvetsov Evgeny Burnaev 51 1 0 04 Oct 2024
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 Aristeidis Panos 29 1 0 26 Sep 2024
Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus Bangchao Deng Xin Jing Tianyue Yang Bingqing Qu Dingqi Yang Philippe Cudre-Mauroux 34 0 0 20 Sep 2024
SAUC: Sparsity-Aware Uncertainty Calibration for Spatiotemporal Prediction with Graph Neural Networks Dingyi Zhuang Yuheng Bu Guang Wang Shenhao Wang Jinhua Zhao BDL 40 1 0 13 Sep 2024
TrialSynth: Generation of Synthetic Sequential Clinical Trial Data Chufan Gao Mandis Beigi Afrah Shafquat Jacob Aptekar Jimeng Sun 28 0 0 11 Sep 2024
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction Ivan Karpukhin Andrey Savchenko 23 1 0 23 Aug 2024
Robust Deep Hawkes Process under Label Noise of Both Event and Occurrence Xiaoyu Tan Bin Li Xihe Qiu Jingjing Huang Yinghui Xu Wei Chu NoLa 26 0 0 24 Jul 2024
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
Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning Letian Gong Huaiyu Wan Shengnan Guo Xiucheng Li Yan Lin Erwen Zheng Tianyi Wang Zeyu Zhou Youfang Lin AI4TS 51 1 0 22 Jul 2024
New User Event Prediction Through the Lens of Causal Inference H. Yuchi Shixiang Zhu Li Dong Yigit M. Arisoy Matthew C. Spencer 40 0 0 08 Jul 2024
Mamba Hawkes Process Anningzhe Gao Shan Dai Yan Hu Mamba 29 1 0 07 Jul 2024
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 Yujee Song Donghyun Lee Rui Meng Won Hwa Kim AI4TS 23 4 0 10 Jun 2024
Neuro-Symbolic Temporal Point Processes Yang Yang Chao Yang Boyang Li Yinghao Fu Shuang Li NAI AI4TS 18 1 0 06 Jun 2024
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
On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes Zhiheng Chen Guanhua Fang Wen Yu 32 0 0 02 Jun 2024
Attention as an RNN Leo Feng Frederick Tung Hossein Hajimirsadeghi Mohamed Osama Ahmed Yoshua Bengio Greg Mori GNN AI4TS 56 8 0 22 May 2024
RoTHP: Rotary Position Embedding-based Transformer Hawkes Process Anningzhe Gao Shan Dai 23 3 0 11 May 2024
Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask Zineb Senane Lele Cao V. Buchner Yusuke Tashiro Lei You P. Herman Mats Nordahl Ruibo Tu Vilhelm von Ehrenheim DiffM AI4TS 22 10 0 09 May 2024
A survey of dynamic graph neural networks Yanping Zheng Lu Yi Zhewei Wei AI4TS AI4CE 27 7 0 28 Apr 2024
Cumulative Hazard Function Based Efficient Multivariate Temporal Point Process Learning Bingqing Liu AI4TS 16 1 0 21 Apr 2024
Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records Bingqing Liu AI4TS 21 1 0 09 Apr 2024
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
Selective Temporal Knowledge Graph Reasoning Zhongni Hou Xiaolong Jin Zixuan Li Long Bai J. Guo Xueqi Cheng 43 0 0 02 Apr 2024
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling Yuqi Chen Kan Ren Yansen Wang Yuchen Fang Weiwei Sun Dongsheng Li AI4TS 68 28 0 16 Feb 2024
TEE4EHR: Transformer Event Encoder for Better Representation Learning in Electronic Health Records Hojjat Karami David Atienza Anisoara Ionescu AI4TS 36 1 0 09 Feb 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes D. Wu Tsuyoshi Idé Aurélie C. Lozano Georgios Kollias Jivrí Navrátil Naoki Abe Yi Ma Rose Yu CML AI4TS 34 2 0 06 Feb 2024
Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation Yiling Kuang Chao Yang Yang Yang Shuang Li AI4TS CML 19 2 0 03 Feb 2024
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
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 9 0 0 01 Feb 2024