Transformer Hawkes Process

21 February 2020

Papers citing "Transformer Hawkes Process"

50 / 114 papers shown

Title
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
SeqNAS: Neural Architecture Search for Event Sequence Classification Igor Udovichenko Egor Shvetsov Denis Divitsky Dmitry Osin I. Trofimov Anatoliy Glushenko I. Sukharev Dmitry Berestnev E. Burnaev 23 6 0 06 Jan 2024
Learn2Extend: Extending sequences by retaining their statistical properties with mixture models Dimitris Vartziotis George Dasoulas Florian Pausinger 31 0 0 03 Dec 2023
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction G. Jin Lingbo Liu Fuxian Li Jincai Huang AI4TS GNN 3DPC 24 34 0 15 Nov 2023
Explainable History Distillation by Marked Temporal Point Process Sishun Liu Ke Deng Yan Wang Xiuzhen Zhang 35 0 0 13 Nov 2023
AdaFlood: Adaptive Flood Regularization Wonho Bae Yi Ren Mohamad Osama Ahmed Frederick Tung Danica J. Sutherland Gabriel L. Oliveira AI4CE 45 1 0 06 Nov 2023
Add and Thin: Diffusion for Temporal Point Processes David Lüdke Marin Bilovs Oleksandr Shchur Marten Lienen Stephan Günnemann DiffM 35 14 0 02 Nov 2023
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
Interacting Diffusion Processes for Event Sequence Forecasting Mai Zeng Florence Regol Mark J. Coates AI4TS DiffM 38 0 0 26 Oct 2023
Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative Tasks Shen Yuan Hongteng Xu 24 0 0 26 Oct 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process Zichong Li Yanbo Xu Simiao Zuo Hao Jiang Chao Zhang Tuo Zhao H. Zha 27 3 0 25 Oct 2023
Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification Zichong Li Qunzhi Xu Zhenghao Xu Yajun Mei Tuo Zhao Hongyuan Zha 14 1 0 25 Oct 2023
A Unified, Scalable Framework for Neural Population Decoding Mehdi Azabou Vinam Arora Venkataramana Ganesh Ximeng Mao Santosh Nachimuthu Michael J. Mendelson Blake A. Richards M. Perich Guillaume Lajoie Eva L. Dyer HAI AI4TS 24 36 0 24 Oct 2023
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 35 117 0 16 Oct 2023
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes Yixuan Zhang Quyu Kong Feng Zhou 11 4 0 09 Oct 2023
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 29 23 0 08 Oct 2023
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain Parag Dutta Kawin Mayilvaghanan Pratyaksha Sinha Ambedkar Dukkipati AI4TS 13 0 0 29 Sep 2023
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 112 0 0 06 Sep 2023
Hawkes Processes with Delayed Granger Causality Chao Yang Hengyuan Miao Shuang Li 20 0 0 11 Aug 2023
Reinforcement Logic Rule Learning for Temporal Point Processes Chao Yang Lu Wang Kun Gao Shuang Li AI4TS 14 0 0 11 Aug 2023
Intensity-free Integral-based Learning of Marked Temporal Point Processes Sishun Liu Ke Deng Xiuzhen Zhang Yongli Ren 6 0 0 04 Aug 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 34 29 0 16 Jul 2023
Tapestry of Time and Actions: Modeling Human Activity Sequences using Temporal Point Process Flows Vinayak Gupta Srikanta J. Bedathur AI4TS 29 1 0 13 Jul 2023
Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing Vinayak Gupta Srikanta J. Bedathur A. De AI4TS 22 1 0 13 Jul 2023
Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event Contexts Wangtao Zhou Zhao Kang Ling Tian Yimu Su 28 11 0 24 Jun 2023
Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 22 0 0 21 Jun 2023
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events Matthew B. A. McDermott Bret A. Nestor Peniel Argaw I. Kohane AI4TS 24 21 0 20 Jun 2023
Deep graph kernel point processes Zheng Dong Matthew Repasky Xiuyuan Cheng Yao Xie 3DPC 25 3 0 20 Jun 2023
Anticipatory Music Transformer John Thickstun David Leo Wright Hall Chris Donahue Percy Liang 20 15 0 14 Jun 2023
Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes Yu Chen Fengpei Li Anderson Schneider Yuriy Nevmyvaka Asohan Amarasingham Henry Lam 11 0 0 28 May 2023
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
Memory Efficient Neural Processes via Constant Memory Attention Block Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed 31 5 0 23 May 2023
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process Fanghua Ye Zhiyuan Hu Emine Yilmaz 23 6 0 21 May 2023
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes Zheng Dong Zekai Fan Shixiang Zhu DiffM 31 4 0 21 May 2023
Spatio-temporal Diffusion Point Processes Yuan Yuan Jingtao Ding Chenyang Shao Depeng Jin Yong Li DiffM 23 43 0 21 May 2023
Hawkes Process Based on Controlled Differential Equations Minju Jo Seung-Uk Kook Noseong Park AI4TS 37 1 0 09 May 2023
Provable local learning rule by expert aggregation for a Hawkes network Sophie Jaffard Samuel Vaiter A. Muzy Patricia Reynaud-Bouret 21 1 0 17 Apr 2023
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning Chao Chen Haoyu Geng Nianzu Yang Xiaokang Yang Junchi Yan 27 8 0 22 Mar 2023
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 20 2 0 10 Mar 2023
Variational Inference for Neyman-Scott Processes Chengkuan Hong C. Shelton BDL 13 2 0 07 Mar 2023
Embeddings for Tabular Data: A Survey Rajat Singh Srikanta J. Bedathur LMTD 37 2 0 23 Feb 2023
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs Yuan Yuan Huandong Wang Jingtao Ding Depeng Jin Yong Li AI4TS AI4CE 19 30 0 09 Feb 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 22 18 0 27 Jan 2023
Spatio-temporal point processes with deep non-stationary kernels Zheng Dong Xiuyuan Cheng Yao Xie BDL AI4TS 24 8 0 21 Nov 2022
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
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
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 Manisha Dubey P. K. Srijith M. Desarkar AI4TS 115 1 0 01 Oct 2022
Differentially Private Estimation of Hawkes Process Simiao Zuo Tianyi Liu Tuo Zhao H. Zha 26 1 0 15 Sep 2022
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