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Deep Transformer Models for Time Series Forecasting: The Influenza
  Prevalence Case

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

23 January 2020
Neo Wu
Bradley Green
X. Ben
S. O’Banion
    AI4TS
ArXivPDFHTML

Papers citing "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

11 / 111 papers shown
Title
Dynamic Virtual Graph Significance Networks for Predicting Influenza
Dynamic Virtual Graph Significance Networks for Predicting Influenza
Jie M. Zhang
Pengfei Zhou
Hongyan Wu
11
0
0
16 Feb 2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of
  Time Series
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series
Alasdair Tran
A. Mathews
Cheng Soon Ong
Lexing Xie
AI4TS
AI4CE
23
12
0
15 Feb 2021
NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting
Kai Chen
Guang Chen
Dan Xu
Lijun Zhang
Yuyao Huang
Alois C. Knoll
AI4TS
22
21
0
10 Feb 2021
Contrastive Predictive Coding for Human Activity Recognition
Contrastive Predictive Coding for Human Activity Recognition
H. Haresamudram
Irfan Essa
Thomas Ploetz
37
118
0
09 Dec 2020
Bridging Physics-based and Data-driven modeling for Learning Dynamical
  Systems
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems
Rui Wang
Danielle C. Maddix
Christos Faloutsos
Bernie Wang
Rose Yu
OOD
AI4CE
27
51
0
20 Nov 2020
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
L. Boussioux
C. Zeng
Théo Guénais
Dimitris Bertsimas
18
38
0
11 Nov 2020
A Transformer-based Framework for Multivariate Time Series
  Representation Learning
A Transformer-based Framework for Multivariate Time Series Representation Learning
George Zerveas
Srideepika Jayaraman
Dhaval Patel
A. Bhamidipaty
Carsten Eickhoff
AI4TS
23
894
0
06 Oct 2020
An early prediction of covid-19 associated hospitalization surge using
  deep learning approach
An early prediction of covid-19 associated hospitalization surge using deep learning approach
Yuqi Meng
Qiancheng Sun
Suning Hong
Ying Zhao
Zhixiang Li
OOD
9
0
0
17 Sep 2020
Deep Contextual Clinical Prediction with Reverse Distillation
Deep Contextual Clinical Prediction with Reverse Distillation
Rohan Kodialam
Rebecca Boiarsky
Justin Lim
Neil Dixit
Aditya Sai
David Sontag
20
25
0
10 Jul 2020
TraDE: Transformers for Density Estimation
TraDE: Transformers for Density Estimation
Rasool Fakoor
Pratik Chaudhari
Jonas W. Mueller
Alex Smola
25
30
0
06 Apr 2020
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network
  Architecture for Multi-Step-Ahead Time-Series Forecasting
ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting
J. Dabrowski
Yifan Zhang
Ashfaqur Rahman
AI4TS
16
36
0
11 Feb 2020
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