Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

24 May 2017

Papers citing "Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks"

34 / 34 papers shown

Title
LLM-guided Plan and Retrieval: A Strategic Alignment for Interpretable User Satisfaction Estimation in Dialogue Sangyeop Kim S. Park Jaewon Jung Jinseok Kim Sungzoon Cho 45 0 0 06 Mar 2025
Cardinality-Regularized Hawkes-Granger Model T. Idé Georgios Kollias Dzung Phan Naoki Abe 73 11 0 28 Jan 2025
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
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? Ivan Karpukhin F. Shipilov Andrey Savchenko AI4TS 59 4 0 20 Jun 2024
RoTHP: Rotary Position Embedding-based Transformer Hawkes Process Anningzhe Gao Shan Dai 23 3 0 11 May 2024
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
Hawkes Processes with Delayed Granger Causality Chao Yang Hengyuan Miao Shuang Li 20 0 0 11 Aug 2023
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process Fanghua Ye Zhiyuan Hu Emine Yilmaz 23 6 0 21 May 2023
Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Point Process S. Stockman Daniel J. Lawson M. J. Werner 3DPC 24 13 0 24 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
EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data Elise Dumas A. Hamy S. Houzard Eva Hernandez A. Toussaint ... M. Saint-Ghislain B. Grandal Eric Daoud F. Reyal Chloé-Agathe Azencott OOD 13 2 0 15 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
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment Chenxiao Yang Qitian Wu Qingsong Wen Zhiqiang Zhou Liang Sun Junchi Yan OODD OOD 25 20 0 24 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
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences Vinayak Gupta Srikanta J. Bedathur AI4TS 22 16 0 10 Jun 2022
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift Vincent Jeanselme G. Martin Niels Peek M. Sperrin Brian D. M. Tom Jessica Barrett OOD 34 4 0 26 May 2022
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 Deokjun Eom Sehyun Lee Jaesik Choi BDL AI4TS 30 2 0 17 Feb 2022
Transformer Embeddings of Irregularly Spaced Events and Their Participants Chenghao Yang Hongyuan Mei Jason Eisner AI4TS 17 58 0 31 Dec 2021
Region Invariant Normalizing Flows for Mobility Transfer Vinayak Gupta Srikanta J. Bedathur 66 12 0 13 Sep 2021
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
Relaxed Clustered Hawkes Process for Procrastination Modeling in MOOCs Mengfan Yao Siqian Zhao Shaghayegh Sherry Sahebi Reza Feyzi-Behnagh 22 3 0 29 Jan 2021
Long Horizon Forecasting With Temporal Point Processes Prathamesh Deshpande Kamlesh Marathe A. De Sunita Sarawagi AI4TS 24 20 0 08 Jan 2021
Transformer Hawkes Process Simiao Zuo Haoming Jiang Zichong Li T. Zhao H. Zha AI4TS 19 286 0 21 Feb 2020
Self-attention with Functional Time Representation Learning Da Xu Chuanwei Ruan Sushant Kumar Evren Körpeoglu Kannan Achan AI4TS 17 114 0 28 Nov 2019
Reinforcement Learning with Policy Mixture Model for Temporal Point Processes Clustering Weichang Wu Junchi Yan Xiaokang Yang H. Zha 11 3 0 29 May 2019
Neural Jump Stochastic Differential Equations J. Jia Austin R. Benson BDL 20 222 0 24 May 2019
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps Takayuki Katsuki Takayuki Osogami Akira Koseki Masaki Ono M. Kudo M. Makino Atsushi Suzuki AI4TS 14 1 0 06 Dec 2018
Decoupled Learning for Factorial Marked Temporal Point Processes Weichang Wu Junchi Yan Xiaokang Yang H. Zha 18 20 0 21 Jan 2018
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks Shuai Xiao Junchi Yan Mehrdad Farajtabar Le Song Xiaokang Yang H. Zha AI4TS 26 44 0 24 Mar 2017
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks Subarna Tripathi Zachary Chase Lipton Serge J. Belongie Truong Thao Nguyen ObjD 77 63 0 15 Jul 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 219 1,897 0 06 Jun 2016