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

24 May 2019

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

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Title
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 29 5 0 28 Nov 2022
On the use of learning-based forecasting methods for ameliorating fashion business processes: A position paper Geri Skenderi Christian Joppi Matteo Denitto Marco Cristani AI4TS AI4CE 16 1 0 09 Nov 2022
Probabilistic Decomposition Transformer for Time Series Forecasting Junlong Tong Liping Xie Wankou Yang Kanjian Zhang AI4TS 32 5 0 31 Oct 2022
SpectraNet: Multivariate Forecasting and Imputation under Distribution Shifts and Missing Data Cristian Challu Peihong Jiang Y. Wu Laurent Callot AI4TS 19 1 0 22 Oct 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 44 25 0 07 Oct 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 61 715 0 05 Oct 2022
Parameter-varying neural ordinary differential equations with partition-of-unity networks Kookjin Lee N. Trask 30 2 0 01 Oct 2022
Retrieval Based Time Series Forecasting Baoyu Jing Si Zhang Yada Zhu B. Peng K. Guan A. Margenot Hanghang Tong AI4TS 42 10 0 27 Sep 2022
Deep Baseline Network for Time Series Modeling and Anomaly Detection Cheng Ge Xinyu Chen Ming Wang Jin Wang AI4TS 30 0 0 10 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 226 1,320 0 02 Sep 2022
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 24 23 0 17 Aug 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts Chirag Raman Hayley Hung Marco Loog 26 3 0 01 Jun 2022
Analytics of Business Time Series Using Machine Learning and Bayesian Inference B. Pavlyshenko BDL AI4TS 37 2 0 25 May 2022
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 Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 54 16 0 11 May 2022
Forecast combinations: an over 50-year review Xiaoqian Wang Rob J. Hyndman Feng Li Yanfei Kang AI4TS 38 139 0 09 May 2022
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
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning Chunnan Wang Xing-Yu Chen Chen-Hung Wu Hongzhi Wang TPM AI4TS 24 4 0 26 Mar 2022
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion Pieter Cawood Terence L van Zyl AI4TS 21 12 0 07 Mar 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection L. Zancato Alessandro Achille G. Paolini A. Chiuso Stefano Soatto AI4TS 22 1 0 25 Feb 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting Dazhao Du Fuchun Sun Zhewei Wei AI4TS 21 43 0 23 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion Ling Yang linda Qiao AI4TS 30 119 0 08 Feb 2022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Guosheng Lin AI4TS 31 162 0 03 Feb 2022
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
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next S. Cuomo Vincenzo Schiano Di Cola F. Giampaolo G. Rozza Maizar Raissi F. Piccialli PINN 31 1,190 0 14 Jan 2022
Time Series Generation with Masked Autoencoder Meng-yue Zha SiuTim Wong Mengqi Liu Tong Zhang Kani Chen SyDa AI4TS 27 17 0 14 Jan 2022
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting Yang Lin I. Koprinska Mashud Rana BDL AI4TS 26 31 0 19 Dec 2021
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
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
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information Wentao Xu Weiqing Liu Lewen Wang Yingce Xia Jiang Bian Jian Yin Tie-Yan Liu AI4TS AIFin 41 48 0 26 Oct 2021
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! Vedant Shah Gautam M. Shroff AI4TS 26 5 0 19 Oct 2021
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
Chaos as an interpretable benchmark for forecasting and data-driven modelling W. Gilpin AI4TS 27 77 0 11 Oct 2021
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
Neural forecasting at scale Philippe Chatigny Shengrui Wang Jean-Marc Patenaude and Boris N. Oreshkin AI4TS 35 1 0 20 Sep 2021
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 Roberto Cahuantzi Xinye Chen S. Güttel 28 136 0 05 Jul 2021
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 Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 59 2,113 0 24 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark J. Coates BDL AI4TS 33 22 0 10 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 49 9 0 05 Jun 2021
Monash Time Series Forecasting Archive Rakshitha Godahewa Christoph Bergmeir Geoffrey I. Webb Rob J. Hyndman Pablo Montero-Manso AI4TS 24 146 0 14 May 2021
Deep Time Series Forecasting with Shape and Temporal Criteria Vincent Le Guen Nicolas Thome AI4TS 35 27 0 09 Apr 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting Defu Cao Yujing Wang Juanyong Duan Ce Zhang Xia Zhu ... Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 16 500 0 13 Mar 2021
LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management Jeremy Beauchamp Razvan Bunescu C. Marling Zhongen Li Chang Liu 17 8 0 06 Mar 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models Yucheng Lu Youngsuk Park Lifan Chen Bernie Wang Christopher De Sa Dean Phillips Foster AI4TS 38 17 0 02 Mar 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series Xing Han S. Dasgupta Joydeep Ghosh AI4TS 33 34 0 25 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 29 32 0 20 Feb 2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series Alasdair Tran A. Mathews Cheng Soon Ong Lexing Xie AI4TS AI4CE 23 12 0 15 Feb 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series Fan-Keng Sun C. Lang Duane S. Boning OOD AI4TS 38 28 0 28 Jan 2021