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DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

13 April 2017
David Salinas
Valentin Flunkert
Jan Gasthaus
    AI4TS
    UQCV
    BDL
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Papers citing "DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks"

13 / 263 papers shown
Title
Shape and Time Distortion Loss for Training Deep Time Series Forecasting
  Models
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
Vincent Le Guen
Nicolas Thome
AI4TS
39
134
0
19 Sep 2019
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with
  Multiple Seasonal Patterns
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns
Kasun Bandara
Christoph Bergmeir
Hansika Hewamalage
AI4TS
22
138
0
10 Sep 2019
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
26
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
22
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
24
170
0
28 May 2019
N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
AI4TS
25
1,016
0
24 May 2019
Think Globally, Act Locally: A Deep Neural Network Approach to
  High-Dimensional Time Series Forecasting
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
Rajat Sen
Hsiang-Fu Yu
Inderjit Dhillon
AI4TS
39
349
0
09 May 2019
Sales Demand Forecast in E-commerce using a Long Short-Term Memory
  Neural Network Methodology
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology
Kasun Bandara
Peibei Shi
Christoph Bergmeir
Hansika Hewamalage
Quoc-Huy Tran
Brian Seaman
AI4TS
35
146
0
13 Jan 2019
Deep Factors with Gaussian Processes for Forecasting
Deep Factors with Gaussian Processes for Forecasting
Danielle C. Maddix
Bernie Wang
Alex Smola
BDL
UQCV
AI4TS
36
41
0
30 Nov 2018
A Local Regret in Nonconvex Online Learning
A Local Regret in Nonconvex Online Learning
Sergul Aydore
Lee H. Dicker
Dean Phillips Foster
30
4
0
13 Nov 2018
FinBrain: When Finance Meets AI 2.0
FinBrain: When Finance Meets AI 2.0
Xiaolin Zheng
Mengying Zhu
Qibing Li
Chaochao Chen
Yanchao Tan
AIFin
34
53
0
26 Aug 2018
Foundations of Sequence-to-Sequence Modeling for Time Series
Foundations of Sequence-to-Sequence Modeling for Time Series
Vitaly Kuznetsov
Zelda E. Mariet
AI4TS
BDL
27
56
0
09 May 2018
Stochastic Training of Neural Networks via Successive Convex
  Approximations
Stochastic Training of Neural Networks via Successive Convex Approximations
Simone Scardapane
P. Di Lorenzo
24
9
0
15 Jun 2017
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