HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences

4 October 2022

Papers citing "HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences"

30 / 30 papers shown

Title
Learning Structure-enhanced Temporal Point Processes with Gromov-Wasserstein Regularization Qingmei Wang Fanmeng Wang Bing Su Hongteng Xu AI4TS 91 0 0 29 Mar 2025
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? Ivan Karpukhin F. Shipilov Andrey Savchenko AI4TS 88 5 0 20 Jun 2024
Transformer Embeddings of Irregularly Spaced Events and Their Participants Chenghao Yang Hongyuan Mei Jason Eisner AI4TS 94 60 0 31 Dec 2021
What Context Features Can Transformer Language Models Use? J. O'Connor Jacob Andreas KELM 55 77 0 15 Jun 2021
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence Jian Guan Xiaoxi Mao Changjie Fan Zitao Liu Wenbiao Ding Minlie Huang AuLLM 92 81 0 19 May 2021
Trajectory Prediction with Latent Belief Energy-Based Model Bo Pang Tianyang Zhao Xu Xie Ying Nian Wu 47 92 0 07 Apr 2021
Long Horizon Forecasting With Temporal Point Processes Prathamesh Deshpande Kamlesh Marathe A. De Sunita Sarawagi AI4TS 89 20 0 08 Jan 2021
User-Dependent Neural Sequence Models for Continuous-Time Event Data Alex Boyd Robert Bamler Stephan Mandt Padhraic Smyth 39 20 0 06 Nov 2020
Noise-Contrastive Estimation for Multivariate Point Processes Hongyuan Mei Tom Wan Jason Eisner 112 26 0 02 Nov 2020
Limitations of Autoregressive Models and Their Alternatives Chu-cheng Lin Aaron Jaech Xin Li Matthew R. Gormley Jason Eisner 53 61 0 22 Oct 2020
Neural Temporal Point Processes For Modelling Electronic Health Records Joseph Enguehard Dan Busbridge Adam James Bozson Claire Woodcock Nils Y. Hammerla 74 43 0 27 Jul 2020
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification Hongyuan Mei Guanghui Qin Minjie Xu Jason Eisner NAI AI4TS 51 20 0 30 Jun 2020
Residual Energy-Based Models for Text Generation Yuntian Deng A. Bakhtin Myle Ott Arthur Szlam MarcÁurelio Ranzato 77 132 0 22 Apr 2020
Transformer Hawkes Process Simiao Zuo Haoming Jiang Zichong Li T. Zhao H. Zha AI4TS 77 295 0 21 Feb 2020
Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur Marin Bilos Stephan Günnemann AI4TS 61 172 0 26 Sep 2019
Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns Jianwen Xie Song-Chun Zhu Ying Nian Wu GAN 60 52 0 26 Sep 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models Vincent Le Guen Nicolas Thome AI4TS 79 134 0 19 Sep 2019
Real or Fake? Learning to Discriminate Machine from Human Generated Text A. Bakhtin Sam Gross Myle Ott Yuntian Deng MarcÁurelio Ranzato Arthur Szlam DeLMO 62 173 0 07 Jun 2019
Fully Neural Network based Model for General Temporal Point Processes T. Omi N. Ueda Kazuyuki Aihara BDL AI4TS 48 179 0 23 May 2019
Imputing Missing Events in Continuous-Time Event Streams Hongyuan Mei Guanghui Qin Jason Eisner AI4TS 54 41 0 14 May 2019
On the Turing Completeness of Modern Neural Network Architectures Jorge A. Pérez Javier Marinkovic Pablo Barceló BDL 65 145 0 10 Jan 2019
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency Zhuang Ma Michael Collins 64 147 0 06 Sep 2018
Long Text Generation via Adversarial Training with Leaked Information Jiaxian Guo Sidi Lu Han Cai Weinan Zhang Yong Yu Jun Wang GAN 61 498 0 24 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks Shuai Xiao Junchi Yan Stephen M. Chu Xiaokang Yang H. Zha AI4TS 48 266 0 24 May 2017
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 63 44 0 24 Mar 2017
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 406 7,399 0 12 Sep 2016
Sequence Level Training with Recurrent Neural Networks MarcÁurelio Ranzato S. Chopra Michael Auli Wojciech Zaremba 102 1,615 0 20 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models A. Mnih Yee Whye Teh 174 578 0 27 Jun 2012