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Discrete Event, Continuous Time RNNs

Discrete Event, Continuous Time RNNs

11 October 2017
Michael C. Mozer
Denis Kazakov
Robert V. Lindsey
ArXivPDFHTML

Papers citing "Discrete Event, Continuous Time RNNs"

19 / 19 papers shown
Title
Learning to Decouple Complex Systems
Learning to Decouple Complex Systems
Zihan Zhou
Tianshu Yu
BDL
79
4
0
17 Feb 2025
Irregularity-Informed Time Series Analysis: Adaptive Modelling of
  Spatial and Temporal Dynamics
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
L. Zheng
Zhengyang Li
Chang Dong
W. Zhang
Lin Yue
Miao Xu
Olaf Maennel
Weitong Chen
AI4TS
43
1
0
16 Oct 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular
  Time Series Data
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh
Dongyoung Lim
Sungil Kim
AI4TS
47
13
0
22 Feb 2024
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled
  Time Series
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series
Chrysoula Kosma
Giannis Nikolentzos
Michalis Vazirgiannis
AI4TS
27
5
0
06 Aug 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Yijun Li
Cheuk Hang Leung
Qi Wu
AI4TS
31
1
0
15 Jun 2023
Anamnesic Neural Differential Equations with Orthogonal Polynomial
  Projections
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections
E. Brouwer
Rahul G. Krishnan
AI4TS
22
0
0
03 Mar 2023
Continuous Depth Recurrent Neural Differential Equations
Continuous Depth Recurrent Neural Differential Equations
Srinivas Anumasa
Geetakrishnasai Gunapati
P. K. Srijith
AI4TS
26
0
0
28 Dec 2022
Stop&Hop: Early Classification of Irregular Time Series
Stop&Hop: Early Classification of Irregular Time Series
Thomas Hartvigsen
Walter Gerych
Jidapa Thadajarassiri
Xiangnan Kong
Elke A. Rundensteiner
AI4TS
47
13
0
21 Aug 2022
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift
Vincent Jeanselme
G. Martin
Niels Peek
M. Sperrin
Brian D. M. Tom
Jessica Barrett
OOD
34
4
0
26 May 2022
GRU-TV: Time- and velocity-aware GRU for patient representation on
  multivariate clinical time-series data
GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data
Ningtao Liu
Ruoxi Gao
Jing Yuan
Calire Park
Shuwei Xing
S. Gou
CML
AI4TS
25
1
0
04 May 2022
Task-Synchronized Recurrent Neural Networks
Task-Synchronized Recurrent Neural Networks
Mantas Lukovsevivcius
Arnas Uselis
AI4TS
36
2
0
11 Apr 2022
Causal Navigation by Continuous-time Neural Networks
Causal Navigation by Continuous-time Neural Networks
Charles J. Vorbach
Ramin Hasani
Alexander Amini
Mathias Lechner
Daniela Rus
31
47
0
15 Jun 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series
Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
111
186
0
25 Jan 2021
Continuous Ant-Based Neural Topology Search
Continuous Ant-Based Neural Topology Search
A. ElSaid
Joshua Karns
Zimeng Lyu
Alexander Ororbia
Travis J. Desell
30
3
0
21 Nov 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
44
79
0
17 Sep 2020
Context-Aware Attentive Knowledge Tracing
Context-Aware Attentive Knowledge Tracing
Aritra Ghosh
Neil T. Heffernan
Andrew Lan
AI4Ed
HAI
27
367
0
24 Jul 2020
Neural Controlled Differential Equations for Irregular Time Series
Neural Controlled Differential Equations for Irregular Time Series
Patrick Kidger
James Morrill
James Foster
Terry Lyons
AI4TS
32
451
0
18 May 2020
Latent ODEs for Irregularly-Sampled Time Series
Latent ODEs for Irregularly-Sampled Time Series
Yulia Rubanova
Ricky T. Q. Chen
David Duvenaud
BDL
AI4TS
31
252
0
08 Jul 2019
Benchmarking Deep Learning Architectures for Predicting Readmission to
  the ICU and Describing Patients-at-Risk
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk
S. Barbieri
James Kemp
O. Perez-Concha
S. Kotwal
M. Gallagher
A. Ritchie
Louisa R Jorm
22
75
0
21 May 2019
1