Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data

18 August 2022

Papers citing "Challenges and opportunities in applying Neural Temporal Point Processes to large scale industry data"

6 / 6 papers shown

Title
Neural Temporal Point Processes For Modelling Electronic Health Records Joseph Enguehard Dan Busbridge Adam James Bozson Claire Woodcock Nils Y. Hammerla 51 43 0 27 Jul 2020
Transformer Hawkes Process Simiao Zuo Haoming Jiang Zichong Li T. Zhao H. Zha AI4TS 63 292 0 21 Feb 2020
Churn Prediction with Sequential Data and Deep Neural Networks. A Comparative Analysis C. G. Mena Arno De Caigny Kristof Coussement K. D. Bock Stefan Lessmann 34 20 0 24 Sep 2019
Neural Jump Stochastic Differential Equations Junteng Jia Austin R. Benson BDL 57 225 0 24 May 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 334 5,081 0 19 Jun 2018
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 825 23,310 0 03 Jun 2014