Joint Modeling of Event Sequence and Time Series with Attentional Twin
Recurrent Neural Networks

Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks

24 March 2017

Mehrdad Farajtabar

Papers citing "Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks"

10 / 10 papers shown

Title
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
Transformer Embeddings of Irregularly Spaced Events and Their Participants Chenghao Yang Hongyuan Mei Jason Eisner AI4TS 17 58 0 31 Dec 2021
Long Horizon Forecasting With Temporal Point Processes Prathamesh Deshpande Kamlesh Marathe A. De Sunita Sarawagi AI4TS 24 20 0 08 Jan 2021
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 25 176 0 21 Apr 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
Set Functions for Time Series Max Horn Michael Moor Christian Bock Bastian Alexander Rieck Karsten M. Borgwardt AI4TS 27 145 0 26 Sep 2019
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes Xubo Yue Raed Al Kontar 32 16 0 09 Mar 2019
CarePre: An Intelligent Clinical Decision Assistance System Zhuochen Jin Jingshun Yang Shuyuan Cui David Gotz Jimeng Sun Nan Cao 29 31 0 06 Nov 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 20 10 0 23 May 2018
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution Mehrdad Farajtabar Yichen Wang Manuel Gomez Rodriguez Shuang Li H. Zha Le Song 36 238 0 08 Jul 2015