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Deep Time Series Forecasting with Shape and Temporal Criteria

Deep Time Series Forecasting with Shape and Temporal Criteria

9 April 2021
Vincent Le Guen
Nicolas Thome
    AI4TS
ArXivPDFHTML

Papers citing "Deep Time Series Forecasting with Shape and Temporal Criteria"

13 / 13 papers shown
Title
Respiratory motion forecasting with online learning of recurrent neural
  networks for safety enhancement in externally guided radiotherapy
Respiratory motion forecasting with online learning of recurrent neural networks for safety enhancement in externally guided radiotherapy
Michel Pohl
Mitsuru Uesaka
Hiroyuki Takahashi
K. Demachi
R. B. Chhatkuli
24
2
0
03 Mar 2024
Curricular and Cyclical Loss for Time Series Learning Strategy
Curricular and Cyclical Loss for Time Series Learning Strategy
Chenxi Sun
Hongyan Li
Moxian Song
D. Cai
linda Qiao
30
1
0
26 Dec 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting
Nancy R. Xu
Chrysoula Kosma
Michalis Vazirgiannis
AI4TS
AI4CE
30
6
0
27 Jul 2023
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture
  with Global Atrous Sliding Window
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window
Yuanpeng He
AI4TS
27
0
0
31 Jan 2023
Unsupervised Domain Adaptation for Constraining Star Formation Histories
Unsupervised Domain Adaptation for Constraining Star Formation Histories
Sankalp Gilda
Antoine de Mathelin
Sabine Bellstedt
Guillaume Richard
24
10
0
28 Dec 2021
A novel weighted approach for time series forecasting based on
  visibility graph
A novel weighted approach for time series forecasting based on visibility graph
Tianxiang Zhan
Fuyuan Xiao
AI4TS
16
4
0
14 Mar 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,876
0
14 Dec 2020
Differentiable Divergences Between Time Series
Differentiable Divergences Between Time Series
Mathieu Blondel
A. Mensch
Jean-Philippe Vert
AI4TS
40
38
0
16 Oct 2020
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
89
288
0
03 Mar 2020
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood
  Glucose Trajectories
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories
Ian Fox
Lynn Ang
M. Jaiswal
R. Pop-Busui
Jenna Wiens
OOD
AI4TS
62
77
0
14 Jun 2018
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
135
611
0
05 Mar 2017
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
160
1,122
0
25 Jul 2012
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