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Deep Factors with Gaussian Processes for Forecasting

Deep Factors with Gaussian Processes for Forecasting

30 November 2018
Danielle C. Maddix
Bernie Wang
Alex Smola
    BDL
    UQCV
    AI4TS
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Papers citing "Deep Factors with Gaussian Processes for Forecasting"

11 / 11 papers shown
Title
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
Mert Sonmezer
Seyda Ertekin
AI4TS
26
0
0
24 Apr 2025
WEITS: A Wavelet-enhanced residual framework for interpretable time
  series forecasting
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting
Ziyou Guo
Yan Sun
Tieru Wu
AI4TS
38
2
0
17 May 2024
Criteria for Classifying Forecasting Methods
Criteria for Classifying Forecasting Methods
Tim Januschowski
Jan Gasthaus
Bernie Wang
David Salinas
Valentin Flunkert
Michael Bohlke-Schneider
Laurent Callot
AI4TS
21
173
0
07 Dec 2022
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series
  Forecasting
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting
Maowei Jiang
Pengyu Zeng
Kai-Ming Wang
Huan Liu
Wenbo Chen
Haoran Liu
AI4TS
35
50
0
02 Dec 2022
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic
  Time Series Data
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
Zhibo Zhu
Ziqi Liu
Ge Jin
Qing Cui
Lei Chen
Jun Zhou
Jianyong Zhou
AI4TS
29
15
0
27 Oct 2021
TCCT: Tightly-Coupled Convolutional Transformer on Time Series
  Forecasting
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
Li Shen
Yangzhu Wang
AI4TS
35
92
0
29 Aug 2021
Autoformer: Decomposition Transformers with Auto-Correlation for
  Long-Term Series Forecasting
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
59
2,107
0
24 Jun 2021
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
25
176
0
21 Apr 2020
GluonTS: Probabilistic Time Series Models in Python
GluonTS: Probabilistic Time Series Models in Python
A. Alexandrov
Konstantinos Benidis
Michael Bohlke-Schneider
Valentin Flunkert
Jan Gasthaus
...
David Salinas
J. Schulz
Lorenzo Stella
Ali Caner Türkmen
Bernie Wang
BDL
AI4TS
20
114
0
12 Jun 2019
Probabilistic Forecasting with Temporal Convolutional Neural Network
Probabilistic Forecasting with Temporal Convolutional Neural Network
Yitian Chen
Yanfei Kang
Yixiong Chen
Zizhuo Wang
BDL
AI4TS
14
318
0
11 Jun 2019
Deep Factors for Forecasting
Deep Factors for Forecasting
Bernie Wang
Alex Smola
Danielle C. Maddix
Jan Gasthaus
Dean Phillips Foster
Tim Januschowski
BDL
18
170
0
28 May 2019
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