Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing

13 July 2023

Papers citing "Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing"

9 / 9 papers shown

Title
Modeling Time-Series and Spatial Data for Recommendations and Other Applications Vinayak Gupta BDL 19 2 0 25 Dec 2022
Differentiable Divergences Between Time Series Mathieu Blondel A. Mensch Jean-Philippe Vert AI4TS 89 39 0 16 Oct 2020
Transformer Hawkes Process Simiao Zuo Haoming Jiang Zichong Li T. Zhao H. Zha AI4TS 71 294 0 21 Feb 2020
Imputing Missing Events in Continuous-Time Event Streams Hongyuan Mei Guanghui Qin Jason Eisner AI4TS 47 41 0 14 May 2019
Self-Attentive Sequential Recommendation Wang-Cheng Kang Julian McAuley HAI BDL 158 2,433 0 20 Aug 2018
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces A. Coucke Alaa Saade Adrien Ball Théodore Bluche A. Caulier ... Thibault Gisselbrecht F. Caltagirone Thibaut Lavril Maël Primet Joseph Dureau SyDa 113 825 0 25 May 2018
VoxCeleb: a large-scale speaker identification dataset Arsha Nagrani Joon Son Chung Andrew Zisserman 122 2,273 0 26 Jun 2017
Fake News Mitigation via Point Process Based Intervention Mehrdad Farajtabar Jiachen Yang X. Ye Huan Xu Rakshit S. Trivedi Elias Boutros Khalil Shuang Li Le Song H. Zha GNN 46 155 0 22 Mar 2017
Soft-DTW: a Differentiable Loss Function for Time-Series Marco Cuturi Mathieu Blondel AI4TS 169 623 0 05 Mar 2017