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N-BEATS: Neural basis expansion analysis for interpretable time series
  forecasting
v1v2v3v4 (latest)

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

24 May 2019
Boris N. Oreshkin
Dmitri Carpov
Nicolas Chapados
Yoshua Bengio
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "N-BEATS: Neural basis expansion analysis for interpretable time series forecasting"

50 / 474 papers shown
Title
Cross-Frequency Time Series Meta-Forecasting
Cross-Frequency Time Series Meta-Forecasting
Mike Van Ness
Huibin Shen
Hongya Wang
Xiaoyong Jin
Danielle C. Maddix
Karthick Gopalswamy
AI4TS
66
5
0
04 Feb 2023
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts
  using Conditional Invertible Neural Networks
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks
Kaleb Phipps
Benedikt Heidrich
Marian Turowski
Moritz Wittig
Ralf Mikut
V. Hagenmeyer
UQCV
52
1
0
03 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series
  Forecasting
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting
Jianqing Zhu
Juncai He
Lian Zhang
Jinchao Xu
82
3
0
02 Feb 2023
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture
  with Global Atrous Sliding Window
Time Series Forecasting via Semi-Asymmetric Convolutional Architecture with Global Atrous Sliding Window
Yuanpeng He
AI4TS
80
0
0
31 Jan 2023
Recurrences reveal shared causal drivers of complex time series
Recurrences reveal shared causal drivers of complex time series
W. Gilpin
CMLAI4TS
90
8
0
31 Jan 2023
Targeted Attacks on Timeseries Forecasting
Targeted Attacks on Timeseries Forecasting
Yuvaraj Govindarajulu
Avinash Amballa
Pavan Kulkarni
Manojkumar Somabhai Parmar
AAMLAI4TS
38
6
0
27 Jan 2023
ClimaX: A foundation model for weather and climate
ClimaX: A foundation model for weather and climate
Tung Nguyen
Johannes Brandstetter
Ashish Kapoor
Jayesh K. Gupta
Aditya Grover
AI4ClAI4CE
120
271
0
24 Jan 2023
Multi-view Kernel PCA for Time series Forecasting
Multi-view Kernel PCA for Time series Forecasting
Arun Pandey
Hannes De Meulemeester
B. De Moor
Johan A. K. Suykens
AI4TS
73
5
0
24 Jan 2023
Ti-MAE: Self-Supervised Masked Time Series Autoencoders
Ti-MAE: Self-Supervised Masked Time Series Autoencoders
Zhe Li
Zhongwen Rao
Lujia Pan
Pengyun Wang
Zenglin Xu
AI4TS
83
54
0
21 Jan 2023
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and
  Distribution
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution
Yan Li
Xin Lu
Haoyi Xiong
Jian Tang
Jian Su
Bo Jin
Dejing Dou
AI4TS
70
28
0
05 Jan 2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting
Syed Kazmi
Berk Görgülü
Mucahit Cevik
M. Baydogan
56
5
0
02 Jan 2023
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation
Shiyu Wang
Fan Zhou
Yinbo Sun
Lintao Ma
James Y. Zhang
Yang Zheng
BDLAI4TS
80
8
0
28 Dec 2022
5G Long-Term and Large-Scale Mobile Traffic Forecasting
5G Long-Term and Large-Scale Mobile Traffic Forecasting
Ufuk Uyan
M. T. Isyapar
Mahiye Uluyagmur Öztürk
15
4
0
21 Dec 2022
Gaussian Process Latent Variable Modeling for Few-shot Time Series Forecasting
Gaussian Process Latent Variable Modeling for Few-shot Time Series Forecasting
Yunyao Cheng
Chenjuan Guo
Kai Chen
Kai Zhao
B. Yang
Jiandong Xie
Christian S. Jensen
Feiteng Huang
Kai Zheng
AI4TS
78
1
0
20 Dec 2022
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load
  Forecasting
Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting
Slawek Smyl
Grzegorz Dudek
Paweł Pełka
AI4TS
74
14
0
18 Dec 2022
An ensemble neural network approach to forecast Dengue outbreak based on
  climatic condition
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition
Madhurima Panja
Tanujit Chakraborty
Sk. Shahid Nadim
I. Ghosh
U. Kumar
Nan Liu
45
25
0
16 Dec 2022
First De-Trend then Attend: Rethinking Attention for Time-Series
  Forecasting
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
Xiyuan Zhang
Xiaoyong Jin
Karthick Gopalswamy
Gaurav Gupta
Youngsuk Park
Xingjian Shi
Hongya Wang
Danielle C. Maddix
Yuyang Wang
AI4TS
64
23
0
15 Dec 2022
Temporal Saliency Detection Towards Explainable Transformer-based
  Timeseries Forecasting
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting
Nghia Duong-Trung
Kiran Madhusudhanan
Danh Le-Phuoc
AI4TS
100
4
0
15 Dec 2022
Improving Accuracy Without Losing Interpretability: A ML Approach for
  Time Series Forecasting
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting
Yiqi Sun
Zheng Shi
Jianshen Zhang
Yongzhi Qi
Hao Hu
Zuo-jun Shen
AI4TS
80
1
0
13 Dec 2022
Agnostic Learning for Packing Machine Stoppage Prediction in Smart
  Factories
Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories
Gabriel Filios
Ioannis Katsidimas
S. Nikoletseas
Stefanos H. Panagiotou
Theofanis P. Raptis
AI4CE
11
1
0
12 Dec 2022
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla
  Transformer Architecture for Long-term Multivariate Time Series Forecasting
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting
Zanwei Zhou
Rui-Ming Zhong
Chen Yang
Yan Wang
Xiaokang Yang
Wei Shen
AI4TS
70
9
0
06 Dec 2022
cs-net: structural approach to time-series forecasting for
  high-dimensional feature space data with limited observations
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations
Weiyu Zong
Mingqian Feng
Griffin Heyrich
Peter Chin
BDLAI4TS
41
0
0
05 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
71
61
0
02 Dec 2022
An Extreme-Adaptive Time Series Prediction Model Based on
  Probability-Enhanced LSTM Neural Networks
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks
Yanhong Li
Jack L. Xu
D. Anastasiu
AI4TS
31
14
0
29 Nov 2022
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
Arindam Jati
Vijayabharathi Ekambaram
Shaonli Pal
Brian Quanz
Wesley M. Gifford
Pavithra Harsha
Stuart Siegel
Sumanta Mukherjee
Chandra Narayanaswami
AI4TS
71
5
0
28 Nov 2022
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge
  Distillation
Sub-Graph Learning for Spatiotemporal Forecasting via Knowledge Distillation
Mehrtash Mehrabi
Yingxue Zhang
55
0
0
17 Nov 2022
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series
  Forecasting
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting
Rakshitha Godahewa
G. Webb
Daniel F. Schmidt
Christoph Bergmeir
61
9
0
16 Nov 2022
On the use of learning-based forecasting methods for ameliorating
  fashion business processes: A position paper
On the use of learning-based forecasting methods for ameliorating fashion business processes: A position paper
Geri Skenderi
Christian Joppi
Matteo Denitto
Marco Cristani
AI4TSAI4CE
48
1
0
09 Nov 2022
Probabilistic Decomposition Transformer for Time Series Forecasting
Probabilistic Decomposition Transformer for Time Series Forecasting
Junlong Tong
Liping Xie
Wankou Yang
Kanjian Zhang
AI4TS
64
5
0
31 Oct 2022
A Long-term Dependent and Trustworthy Approach to Reactor Accident
  Prognosis based on Temporal Fusion Transformer
A Long-term Dependent and Trustworthy Approach to Reactor Accident Prognosis based on Temporal Fusion Transformer
Chengyuan Li
Zihan Qiu
Yugao Ma
Mei Li
33
1
0
28 Oct 2022
TILDE-Q: A Transformation Invariant Loss Function for Time-Series
  Forecasting
TILDE-Q: A Transformation Invariant Loss Function for Time-Series Forecasting
Hyunwoo Lee
Chunggi Lee
H. Lim
Sungahn Ko
AI4TS
48
3
0
26 Oct 2022
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting
Youngin Cho
Daejin Kim
Dongmin Kim
Mohammad Azam Khan
Jaegul Choo
AI4TS
76
3
0
25 Oct 2022
SpectraNet: Multivariate Forecasting and Imputation under Distribution
  Shifts and Missing Data
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data
Cristian Challu
Peihong Jiang
Y. Wu
Laurent Callot
AI4TS
52
1
0
22 Oct 2022
Latent Temporal Flows for Multivariate Analysis of Wearables Data
Latent Temporal Flows for Multivariate Analysis of Wearables Data
Magda Amiridi
Gregory Darnell
S. Jewell
AI4TS
51
2
0
14 Oct 2022
Prediction intervals for neural network models using weighted asymmetric
  loss functions
Prediction intervals for neural network models using weighted asymmetric loss functions
Milo Grillo
Yunpeng Han
A. Werpachowska
37
1
0
09 Oct 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution
  Shifts
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts
Rui Wang
Yihe Dong
Sercan O. Arik
Rose Yu
AI4TS
111
28
0
07 Oct 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series
  Analysis
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Haixu Wu
Teng Hu
Yong Liu
Hang Zhou
Jianmin Wang
Mingsheng Long
AI4TSAIFin
158
850
0
05 Oct 2022
Parameter-varying neural ordinary differential equations with
  partition-of-unity networks
Parameter-varying neural ordinary differential equations with partition-of-unity networks
Kookjin Lee
N. Trask
82
2
0
01 Oct 2022
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting
  Models for Chickenpox Cases Estimation in Hungary
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in Hungary
Wadie Skaf
Arzu Tosayeva
Dániel Várkonyi
AI4TS
34
2
0
28 Sep 2022
Retrieval Based Time Series Forecasting
Retrieval Based Time Series Forecasting
Baoyu Jing
Si Zhang
Yada Zhu
B. Peng
K. Guan
A. Margenot
Hanghang Tong
AI4TS
120
13
0
27 Sep 2022
DynaConF: Dynamic Forecasting of Non-Stationary Time Series
DynaConF: Dynamic Forecasting of Non-Stationary Time Series
Siqi Liu
Andreas M. Lehrmann
BDLAI4TS
78
2
0
17 Sep 2022
Deep Baseline Network for Time Series Modeling and Anomaly Detection
Deep Baseline Network for Time Series Modeling and Anomaly Detection
Cheng Ge
Xinyu Chen
Ming Wang
Jin Wang
AI4TS
63
0
0
10 Sep 2022
Bayesian Neural Network Inference via Implicit Models and the Posterior
  Predictive Distribution
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution
J. Dabrowski
D. Pagendam
UQCVBDL
54
0
0
06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Tengjiao Wang
Ming-Hsuan Yang
DiffMMedIm
553
1,428
0
02 Sep 2022
Persistence Initialization: A novel adaptation of the Transformer
  architecture for Time Series Forecasting
Persistence Initialization: A novel adaptation of the Transformer architecture for Time Series Forecasting
Espen Haugsdal
Erlend Aune
M. Ruocco
AI4TSAI4CE
32
17
0
30 Aug 2022
ODformer: Spatial-Temporal Transformers for Long Sequence
  Origin-Destination Matrix Forecasting Against Cross Application Scenario
ODformer: Spatial-Temporal Transformers for Long Sequence Origin-Destination Matrix Forecasting Against Cross Application Scenario
Jin Huang
Bosong Huang
Weihao Yu
Jing Xiao
Ruzhong Xie
Ke Ruan
AI4TS
56
26
0
17 Aug 2022
Forecasting Algorithms for Causal Inference with Panel Data
Forecasting Algorithms for Causal Inference with Panel Data
Jacob Goldin
Julian Nyarko
Justine Young
CMLAI4TS
44
1
0
06 Aug 2022
Time Series Forecasting Models Copy the Past: How to Mitigate
Time Series Forecasting Models Copy the Past: How to Mitigate
Chrysoula Kosma
Giannis Nikolentzos
Nancy R. Xu
Michalis Vazirgiannis
AI4TS
28
5
0
27 Jul 2022
Respecting Time Series Properties Makes Deep Time Series Forecasting
  Perfect
Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect
Li Shen
Yuning Wei
Yangzhu Wang
AI4TS
103
8
0
22 Jul 2022
Learning Deep Time-index Models for Time Series Forecasting
Learning Deep Time-index Models for Time Series Forecasting
Gerald Woo
Chenghao Liu
Doyen Sahoo
Akshat Kumar
Guosheng Lin
AI4TSAI4CE
125
29
0
13 Jul 2022
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