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Probabilistic Time Series Forecasting with Structured Shape and Temporal
  Diversity
v1v2v3 (latest)

Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity

14 October 2020
Vincent Le Guen
Nicolas Thome
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"

9 / 9 papers shown
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting
  with Proxy Data
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data
Zexing Xu
Linjun Zhang
Sitan Yang
Rasoul Etesami
Hanghang Tong
Huan Zhang
Jiawei Han
AI4TS
165
5
0
23 Jun 2024
Improving the Transferability of Time Series Forecasting with
  Decomposition Adaptation
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation
Yan-hong Gao
Yan Wang
Qiang Wang
AI4TS
164
1
0
30 Jun 2023
Diverse Probabilistic Trajectory Forecasting with Admissibility
  Constraints
Diverse Probabilistic Trajectory Forecasting with Admissibility ConstraintsInternational Conference on Pattern Recognition (ICPR), 2022
Laura Calem
H. Ben-younes
P. Pérez
Nicolas Thome
238
3
0
07 Feb 2023
Towards Learning in Grey Spatiotemporal Systems: A Prophet to
  Non-consecutive Spatiotemporal Dynamics
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal DynamicsSDM (SDM), 2022
Zhengyang Zhou
Yang Kuo
Wei Sun
Binwu Wang
Mingxing Zhou
Yunan Zong
Yang Wang
AI4TS
148
4
0
17 Aug 2022
Combating Distribution Shift for Accurate Time Series Forecasting via
  Hypernetworks
Combating Distribution Shift for Accurate Time Series Forecasting via HypernetworksInternational Conference on Parallel and Distributed Systems (ICPADS), 2022
Wenying Duan
Xiaoxi He
Lu Zhou
Lothar Thiele
Hong Rao
TTAAI4TS
205
17
0
22 Feb 2022
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts
Coherent Probabilistic Aggregate Queries on Long-horizon ForecastsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Prathamesh Deshpande
Sunita Sarawagi
AI4TS
160
0
0
05 Nov 2021
AdaRNN: Adaptive Learning and Forecasting of Time Series
AdaRNN: Adaptive Learning and Forecasting of Time SeriesInternational Conference on Information and Knowledge Management (CIKM), 2021
Yuntao Du
Yongfeng Zhang
Wenjie Feng
Sinno Jialin Pan
Tao Qin
Renjun Xu
Chongjun Wang
AI4TS
297
320
0
10 Aug 2021
Deep Personalized Glucose Level Forecasting Using Attention-based
  Recurrent Neural Networks
Deep Personalized Glucose Level Forecasting Using Attention-based Recurrent Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2021
Mohammadreza Armandpour
Brian Kidd
Yu Du
Jianhua Z. Huang
204
20
0
02 Jun 2021
Deep Time Series Forecasting with Shape and Temporal Criteria
Deep Time Series Forecasting with Shape and Temporal CriteriaIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Vincent Le Guen
Nicolas Thome
AI4TS
252
41
0
09 Apr 2021
1