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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"

50 / 474 papers shown

Title
Dateformer: Time-modeling Transformer for Longer-term Series Forecasting Julong Young Junhui Chen Feihu Huang Jian Peng AI4TS 29 1 0 12 Jul 2022
Seasonal Encoder-Decoder Architecture for Forecasting Avinash Achar Soumen Pachal BDL AI4TS 23 0 0 08 Jul 2022
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures Tianze Zhang Yizhuo Zhang Wei Cao Jiang Bian Xiaohan Yi Shun Zheng Jian Li BDL AI4TS 165 173 0 04 Jul 2022
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting Junchen Ye Zihan Liu Bowen Du Leilei Sun Weimiao Li Yanjie Fu Hui Xiong AI4TS 46 97 0 28 Jun 2022
TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting Tian Zhou Jianqing Zhu Xue Wang Ziqing Ma Qingsong Wen Liang Sun Rong Jin AI4TS 72 4 0 24 Jun 2022
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics Madhurima Panja Tanujit Chakraborty U. Kumar Nan Liu 74 20 0 21 Jun 2022
Predicting Hate Intensity of Twitter Conversation Threads Qing Meng Tharun Suresh Roy Ka-wei Lee Tanmoy Chakraborty 124 20 0 16 Jun 2022
Interpretable Mixture of Experts Aya Abdelsalam Ismail Sercan O. Arik Jinsung Yoon Ankur Taly Soheil Feizi Tomas Pfister MoE 48 11 0 05 Jun 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts Chirag Raman Hayley Hung Marco Loog 89 3 0 01 Jun 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting Yong Liu Haixu Wu Jianmin Wang Mingsheng Long AI4TS 84 429 0 28 May 2022
Analytics of Business Time Series Using Machine Learning and Bayesian Inference B. Pavlyshenko BDL AI4TS 127 2 0 25 May 2022
Forecasting of Non-Stationary Sales Time Series Using Deep Learning B. Pavlyshenko AI4TS 43 4 0 23 May 2022
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting Tian Zhou Ziqing Ma Xue Wang Qingsong Wen Liang Sun Tao Yao Wotao Yin Rong Jin AI4TS 199 191 0 18 May 2022
Multi-scale Attention Flow for Probabilistic Time Series Forecasting Shibo Feng Chunyan Miao Ke-Li Xu Jiaxiang Wu Pengcheng Wu Fan Lin P. Zhao BDL AI4TS 56 27 0 16 May 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 139 16 0 11 May 2022
Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs Kelum Gajamannage Yonggi Park AI4TS AIFin 66 4 0 10 May 2022
Forecast combinations: an over 50-year review Xiaoqian Wang Rob J. Hyndman Feng Li Yanfei Kang AI4TS 89 151 0 09 May 2022
Forecasting Electricity Prices K. Maciejowska Bartosz Uniejewski R. Weron AI4TS 75 0 0 25 Apr 2022
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting Abhimanyu Das Weihao Kong Biswajit Paria Rajat Sen AI4TS 62 6 0 21 Apr 2022
Time Series of Non-Additive Metrics: Identification and Interpretation of Contributing Factors of Variance by Linear Decomposition A. Glushkovsky AI4TS 23 0 0 14 Apr 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels L. Brinkmeyer Rafael Rêgo Drumond Johannes Burchert Lars Schmidt-Thieme AI4TS 70 8 0 07 Apr 2022
Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting Madhurima Panja Tanujit Chakraborty U. Kumar Abdenour Hadid AI4TS 60 1 0 01 Apr 2022
A Global Modeling Approach for Load Forecasting in Distribution Networks M. Grabner Yi Wang Qingsong Wen B. Blazic Vitomir Štruc 44 3 0 01 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 63 6 0 26 Mar 2022
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting Wei Fan Shun Zheng Xiaohan Yi Wei Cao Yanjie Fu Jiang Bian Tie-Yan Liu AI4TS 75 51 0 15 Mar 2022
Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion Pieter Cawood Terence L van Zyl AI4TS 60 14 0 07 Mar 2022
Stacked Residuals of Dynamic Layers for Time Series Anomaly Detection Luca Zancato Alessandro Achille G. Paolini A. Chiuso Stefano Soatto AI4TS 41 2 0 25 Feb 2022
Learning Fast and Slow for Online Time Series Forecasting Quang Pham Chenghao Liu Doyen Sahoo Guosheng Lin TTA AI4TS 71 35 0 23 Feb 2022
Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting Dazhao Du Fuchun Sun Zhewei Wei AI4TS 87 51 0 23 Feb 2022
Multi-Objective Model Selection for Time Series Forecasting Oliver Borchert David Salinas Valentin Flunkert Tim Januschowski Stephan Günnemann AI4TS 82 9 0 17 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion Ling Yang linda Qiao AI4TS 138 126 0 08 Feb 2022
TACTiS: Transformer-Attentional Copulas for Time Series Alexandre Drouin Étienne Marcotte Nicolas Chapados AI4TS 283 39 0 07 Feb 2022
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series Sercan O. Arik Nathanael Yoder Tomas Pfister TTA AI4TS 70 21 0 04 Feb 2022
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi AI4TS 200 409 0 03 Feb 2022
ETSformer: Exponential Smoothing Transformers for Time-series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Guosheng Lin AI4TS 131 170 0 03 Feb 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting Cristian Challu Kin G. Olivares Boris N. Oreshkin Federico Garza Max Mergenthaler-Canseco A. Dubrawski AI4TS 152 284 0 30 Jan 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 284 1,492 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 146 1,306 0 14 Jan 2022
IDEA: Interpretable Dynamic Ensemble Architecture for Time Series Prediction Meng-yue Zha Kani Chen Tong Zhang OOD AI4TS 27 0 0 14 Jan 2022
Time Series Generation with Masked Autoencoder Meng-yue Zha SiuTim Wong Mengqi Liu Tong Zhang Kani Chen SyDa AI4TS 69 17 0 14 Jan 2022
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting Yang Lin I. Koprinska Mashud Rana BDL AI4TS 77 32 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 68 30 0 16 Dec 2021
Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization Himanshi Charotia Abhishek Garg Gaurav Dhama Naman Maheshwari AI4TS 24 0 0 15 Dec 2021
Neural Multi-Quantile Forecasting for Optimal Inventory Management Federico Garza Ramírez 32 1 0 10 Dec 2021
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting Slawek Smyl Grzegorz Dudek Paweł Pełka AI4TS 61 33 0 05 Dec 2021
Online Advertising Revenue Forecasting: An Interpretable Deep Learning Approach Maximilian Würfel Qiwei Han Maximilian Kaiser AI4TS 45 8 0 16 Nov 2021
TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation Abhyuday Desai Cynthia Freeman Zuhui Wang Ian Beaver SyDa AI4TS 91 119 0 15 Nov 2021
HAD-Net: Hybrid Attention-based Diffusion Network for Glucose Level Forecast Quentin Blampey M. Rahim MedIm 59 0 0 14 Nov 2021
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts Dilini Sewwandi Rajapaksha Christoph Bergmeir Rob J. Hyndman FAtt AI4TS 36 14 0 13 Nov 2021
Meta-Forecasting by combining Global Deep Representations with Local Adaptation Riccardo Grazzi Valentin Flunkert David Salinas Tim Januschowski Matthias Seeger Cédric Archambeau AI4TS AI4CE 74 7 0 05 Nov 2021