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Neural Datalog Through Time: Informed Temporal Modeling via Logical
  Specification
v1v2 (latest)

Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification

30 June 2020
Hongyuan Mei
Guanghui Qin
Minjie Xu
Jason Eisner
    NAIAI4TS
ArXiv (abs)PDFHTML

Papers citing "Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification"

4 / 4 papers shown
Title
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon
  Prediction of Event Sequences
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences
Siqiao Xue
Xiaoming Shi
James Y. Zhang
Hongyuan Mei
AI4TS
60
35
0
04 Oct 2022
Movement Analytics: Current Status, Application to Manufacturing, and
  Future Prospects from an AI Perspective
Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective
Peter Baumgartner
Daniel V. Smith
Mashud Rana
Reena Kapoor
Elena Tartaglia
A. Schutt
Ashfaqur Rahman
John Taylor
S. Dunstall
69
4
0
04 Oct 2022
Transformer Embeddings of Irregularly Spaced Events and Their
  Participants
Transformer Embeddings of Irregularly Spaced Events and Their Participants
Chenghao Yang
Hongyuan Mei
Jason Eisner
AI4TS
109
60
0
31 Dec 2021
Noise-Contrastive Estimation for Multivariate Point Processes
Noise-Contrastive Estimation for Multivariate Point Processes
Hongyuan Mei
Tom Wan
Jason Eisner
125
26
0
02 Nov 2020
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