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Neural Datalog Through Time: Informed Temporal Modeling via Logical
  Specification

Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification

30 June 2020
Hongyuan Mei
Guanghui Qin
Minjie Xu
Jason Eisner
    NAI
    AI4TS
ArXivPDFHTML

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

5 / 5 papers shown
Title
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Keli Zhang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
35
118
0
16 Oct 2023
Efficient Semiring-Weighted Earley Parsing
Efficient Semiring-Weighted Earley Parsing
Andreas Opedal
Ran Zmigrod
Tim Vieira
Ryan Cotterell
Jason Eisner
19
2
0
06 Jul 2023
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
19
34
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
27
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
20
58
0
31 Dec 2021
1