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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
ArXivPDFHTML

Papers citing "DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks"

50 / 263 papers shown
Title
Analytics of Business Time Series Using Machine Learning and Bayesian
  Inference
Analytics of Business Time Series Using Machine Learning and Bayesian Inference
B. Pavlyshenko
BDL
AI4TS
39
2
0
25 May 2022
FreDo: Frequency Domain-based Long-Term Time Series Forecasting
FreDo: Frequency Domain-based Long-Term Time Series Forecasting
Fan-Keng Sun
Duane S. Boning
AI4TS
53
11
0
24 May 2022
Forecasting of Non-Stationary Sales Time Series Using Deep Learning
Forecasting of Non-Stationary Sales Time Series Using Deep Learning
B. Pavlyshenko
AI4TS
30
4
0
23 May 2022
Efficient Automated Deep Learning for Time Series Forecasting
Efficient Automated Deep Learning for Time Series Forecasting
Difan Deng
Florian Karl
Frank Hutter
Bernd Bischl
Marius Lindauer
AI4TS
56
16
0
11 May 2022
Short-Term Density Forecasting of Low-Voltage Load using
  Bernstein-Polynomial Normalizing Flows
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows
M. Arpogaus
Marcus Voss
Beate Sick
Mark Nigge-Uricher
Oliver Durr
33
16
0
29 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
Few-Shot Forecasting of Time-Series with Heterogeneous Channels
L. Brinkmeyer
Rafael Rêgo Drumond
Johannes Burchert
Lars Schmidt-Thieme
AI4TS
28
7
0
07 Apr 2022
Forecast Evaluation for Data Scientists: Common Pitfalls and Best
  Practices
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices
Hansika Hewamalage
Klaus Ackermann
Christoph Bergmeir
AI4TS
67
89
0
21 Mar 2022
Neural Forecasting of the Italian Sovereign Bond Market with Economic
  News
Neural Forecasting of the Italian Sovereign Bond Market with Economic News
Sergio Consoli
L. Pezzoli
Elisa Tosetti
23
4
0
11 Mar 2022
Probabilistic forecasts of wind power generation in regions with complex
  topography using deep learning methods: An Arctic case
Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case
Odin Foldvik Eikeland
Finn Dag Hovem
T. Olsen
M. Chiesa
F. Bianchi
33
25
0
10 Mar 2022
Robust Probabilistic Time Series Forecasting
Robust Probabilistic Time Series Forecasting
Taeho Yoon
Youngsuk Park
Ernest K. Ryu
Yuyang Wang
AAML
AI4TS
27
18
0
24 Feb 2022
Simulating Network Paths with Recurrent Buffering Units
Simulating Network Paths with Recurrent Buffering Units
Divyam Anshumaan
S. Balasubramanian
Shubham Tiwari
Nagarajan Natarajan
Sundararajan Sellamanickam
V. Padmanabhan
34
0
0
23 Feb 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise
  Correlations for Long-Term Time Series Forecasting
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting
Dazhao Du
Fuchun Sun
Zhewei Wei
AI4TS
23
43
0
23 Feb 2022
Multivariate Quantile Function Forecaster
Multivariate Quantile Function Forecaster
Kelvin K. Kan
Franccois-Xavier Aubet
Tim Januschowski
Youngsuk Park
Konstantinos Benidis
Lars Ruthotto
Jan Gasthaus
AI4TS
39
22
0
23 Feb 2022
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap
  and Adaptive Residual Selection
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap and Adaptive Residual Selection
Longshaokan Wang
Lingda Wang
M. Georgieva
Paulo Machado
Abinaya Ulagappa
Safwan Ahmed
Yanxia Lu
Arjun Bakshi
F. Ghassemi
TTA
21
1
0
16 Feb 2022
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for
  Forecasting, with an Application to Electricity Smart Meter Data
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data
Dilini Sewwandi Rajapaksha
Christoph Bergmeir
AI4TS
16
16
0
15 Feb 2022
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use
  Tariffs
Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs
Jyoti Narwariya
Chetan Verma
Pankaj Malhotra
L. Vig
E. Subramanian
Sanjay Bhat
AI4TS
33
2
0
11 Feb 2022
Robust Audio Anomaly Detection
Robust Audio Anomaly Detection
Wo Jae Lee
Karim Helwani
A. Krishnaswamy
S. Tenneti
OOD
AI4TS
30
2
0
03 Feb 2022
ETSformer: Exponential Smoothing Transformers for Time-series
  Forecasting
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Guosheng Lin
AI4TS
36
162
0
03 Feb 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term
  Series Forecasting
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting
Tian Zhou
Ziqing Ma
Qingsong Wen
Xue Wang
Liang Sun
Rong Jin
AI4TS
30
1,317
0
30 Jan 2022
DDG-DA: Data Distribution Generation for Predictable Concept Drift
  Adaptation
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
Wendi Li
Xiao Yang
Weiqing Liu
Yingce Xia
Jiang Bian
DiffM
AI4TS
28
51
0
11 Jan 2022
TFDPM: Attack detection for cyber-physical systems with diffusion
  probabilistic models
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models
Tijin Yan
Tong Zhou
Yufeng Zhan
Yuanqing Xia
DiffM
23
7
0
20 Dec 2021
SSDNet: State Space Decomposition Neural Network for Time Series
  Forecasting
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting
Yang Lin
I. Koprinska
Mashud Rana
BDL
AI4TS
26
31
0
19 Dec 2021
GOPHER: Categorical probabilistic forecasting with graph structure via
  local continuous-time dynamics
GOPHER: Categorical probabilistic forecasting with graph structure via local continuous-time dynamics
Ke Alexander Wang
Danielle C. Maddix
Yuyang Wang
AI4CE
33
1
0
18 Dec 2021
A Statistics and Deep Learning Hybrid Method for Multivariate Time
  Series Forecasting and Mortality Modeling
A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling
Thabang Mathonsi
Terence L van Zyl
AI4TS
41
30
0
16 Dec 2021
A Daily Tourism Demand Prediction Framework Based on Multi-head
  Attention CNN: The Case of The Foreign Entrant in South Korea
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea
Dong-Keon Kim
S. K. Shyn
Donghee Kim
Seungwoo Jang
Kwangsu Kim
AI4TS
18
6
0
01 Dec 2021
Crime Prediction with Graph Neural Networks and Multivariate Normal
  Distributions
Crime Prediction with Graph Neural Networks and Multivariate Normal Distributions
Selim Furkan Tekin
Suleyman Serdar Kozat
29
12
0
29 Nov 2021
LoMEF: A Framework to Produce Local Explanations for Global Model Time
  Series Forecasts
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts
Dilini Sewwandi Rajapaksha
Christoph Bergmeir
Rob J. Hyndman
FAtt
AI4TS
11
13
0
13 Nov 2021
Learning Quantile Functions without Quantile Crossing for
  Distribution-free Time Series Forecasting
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
Youngsuk Park
Danielle C. Maddix
Franccois-Xavier Aubet
Kelvin K. Kan
Jan Gasthaus
Yuyang Wang
UQCV
AI4TS
94
38
0
12 Nov 2021
Deep diffusion-based forecasting of COVID-19 by incorporating
  network-level mobility information
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information
Padmaksha Roy
Shailik Sarkar
Subhodip Biswas
Fanglan Chen
Zhiqian Chen
Naren Ramakrishnan
Chang-Tien Lu
DiffM
43
8
0
09 Nov 2021
Discovering Supply Chain Links with Augmented Intelligence
Discovering Supply Chain Links with Augmented Intelligence
Achintya Gopal
Chun-Han Chang
40
3
0
02 Nov 2021
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
Deep Explicit Duration Switching Models for Time Series
Deep Explicit Duration Switching Models for Time Series
Abdul Fatir Ansari
Konstantinos Benidis
Richard Kurle
Ali Caner Turkmen
Harold Soh
Alex Smola
Yuyang Wang
Tim Januschowski
BDL
21
19
0
26 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs
Neural Flows: Efficient Alternative to Neural ODEs
Marin Bilovs
Johanna Sommer
Syama Sundar Rangapuram
Tim Januschowski
Stephan Günnemann
AI4TS
40
70
0
25 Oct 2021
Forecasting Market Prices using DL with Data Augmentation and
  Meta-learning: ARIMA still wins!
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!
Vedant Shah
Gautam M. Shroff
AI4TS
28
5
0
19 Oct 2021
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in
  Decarbonized Energy Grids
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids
Xiangtian Zheng
Nan Xu
Loc Trinh
Dongqi Wu
Tong Huang
S. Sivaranjani
Yan Liu
Le Xie
AI4CE
41
44
0
12 Oct 2021
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction
Temporal Convolutions for Multi-Step Quadrotor Motion Prediction
Sam Looper
Steven L. Waslander
29
5
0
08 Oct 2021
Darts: User-Friendly Modern Machine Learning for Time Series
Darts: User-Friendly Modern Machine Learning for Time Series
J. Herzen
Francesco Lässig
Samuele Giuliano Piazzetta
T. Neuer
Léo Tafti
...
Mounir Benheddi
Camila Williamson
Michal Kosinskihttps://www.semanticscholar.org/me/account
M. Petrik
Gaël Grosch
AI4TS
45
217
0
07 Oct 2021
Deep Spatio-Temporal Wind Power Forecasting
Deep Spatio-Temporal Wind Power Forecasting
Jiangyuan Li
Mohammadreza Armandpour
24
21
0
29 Sep 2021
Interpretability in Safety-Critical FinancialTrading Systems
Interpretability in Safety-Critical FinancialTrading Systems
Gabriel Deza
Adelin Travers
C. Rowat
Nicolas Papernot
AAML
AIFin
23
1
0
24 Sep 2021
Neural forecasting at scale
Neural forecasting at scale
Philippe Chatigny
Shengrui Wang
Jean-Marc Patenaude and
Boris N. Oreshkin
AI4TS
35
1
0
20 Sep 2021
From Known to Unknown: Knowledge-guided Transformer for Time-Series
  Sales Forecasting in Alibaba
From Known to Unknown: Knowledge-guided Transformer for Time-Series Sales Forecasting in Alibaba
Xinyuan Qi
Kai Hou
Tong Liu
Zhongzhong Yu
Sihao Hu
Wenwu Ou
AI4TS
47
19
0
17 Sep 2021
TCCT: Tightly-Coupled Convolutional Transformer on Time Series
  Forecasting
TCCT: Tightly-Coupled Convolutional Transformer on Time Series Forecasting
Li Shen
Yangzhu Wang
AI4TS
37
92
0
29 Aug 2021
ASAT: Adaptively Scaled Adversarial Training in Time Series
ASAT: Adaptively Scaled Adversarial Training in Time Series
Zhiyuan Zhang
Wei Li
Ruihan Bao
Keiko Harimoto
Hao Sun
Xu Sun
AI4TS
29
5
0
20 Aug 2021
AdaRNN: Adaptive Learning and Forecasting of Time Series
AdaRNN: Adaptive Learning and Forecasting of Time Series
Yuntao Du
Jindong Wang
Wenjie Feng
Sinno Jialin Pan
Tao Qin
Renjun Xu
Chongjun Wang
AI4TS
35
238
0
10 Aug 2021
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts
  for Inventory Management
Predictive and Prescriptive Performance of Bike-Sharing Demand Forecasts for Inventory Management
Daniele Gammelli
Yihua Wang
Dennis Prak
Filipe Rodrigues
Stefan Minner
Francisco Câmara Pereira
AI4TS
24
36
0
28 Jul 2021
Topological Attention for Time Series Forecasting
Topological Attention for Time Series Forecasting
Sebastian Zeng
Florian Graf
Christoph Hofer
Roland Kwitt
AI4TS
13
24
0
19 Jul 2021
A comparison of LSTM and GRU networks for learning symbolic sequences
A comparison of LSTM and GRU networks for learning symbolic sequences
Roberto Cahuantzi
Xinye Chen
S. Güttel
28
136
0
05 Jul 2021
Randomized Neural Networks for Forecasting Time Series with Multiple
  Seasonality
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality
Grzegorz Dudek
BDL
AI4TS
23
4
0
04 Jul 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
61
2,113
0
24 Jun 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with
  Continuous Energy-based Generative Models
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models
Tijin Yan
Hongwei Zhang
Tong Zhou
Yufeng Zhan
Yuanqing Xia
DiffM
AI4TS
36
38
0
18 Jun 2021
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