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1704.04110
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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
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
Kasun Bandara
Christoph Bergmeir
Hansika Hewamalage
AI4TS
22
138
0
10 Sep 2019
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
Yitian Chen
Yanfei Kang
Yixiong Chen
Zizhuo Wang
BDL
AI4TS
22
318
0
11 Jun 2019
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
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
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
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
Danielle C. Maddix
Bernie Wang
Alex Smola
BDL
UQCV
AI4TS
36
41
0
30 Nov 2018
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
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
Vitaly Kuznetsov
Zelda E. Mariet
AI4TS
BDL
27
56
0
09 May 2018
Stochastic Training of Neural Networks via Successive Convex Approximations
Simone Scardapane
P. Di Lorenzo
24
9
0
15 Jun 2017
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