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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
GBT: Two-stage transformer framework for non-stationary time series forecasting Li Shen Yuning Wei Yangzhu Wang AI4TS 95 24 0 17 Jul 2023
Benchmarks and Custom Package for Electrical Load Forecasting Zhixian Wang Qingsong Wen Chaoli Zhang Liang Sun Leandro Von Krannichfeldt Yi Wang AI4TS 85 4 0 14 Jul 2023
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting Tianlong Zhao Xiang Ma Xue-mei Li Caiming Zhang AI4TS 33 2 0 13 Jul 2023
FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu Ailing Zeng Qiang Xu AI4TS 96 105 0 06 Jul 2023
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale Tong Nie Guoyang Qin Lijun Sun Wei Ma Yuewen Mei Jiangming Sun AI4TS 92 5 0 04 Jul 2023
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation Yan-hong Gao Yan Wang Qiang Wang AI4TS 56 0 0 30 Jun 2023
Interpreting Forecasted Vital Signs Using N-BEATS in Sepsis Patients Anubha Bhatti Naveen Thangavelu Marium Hassan Cho-Myong Kim San Lee Yonghwan Kim Jang Yong Kim 37 4 0 24 Jun 2023
Comparative Study of Predicting Stock Index Using Deep Learning Models Harshal Patel B. Bolla Sabeesh Ethiraj D. Reddy AI4TS 124 1 0 24 Jun 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 59 8 0 19 Jun 2023
SaDI: A Self-adaptive Decomposed Interpretable Framework for Electric Load Forecasting under Extreme Events Hengbo Liu Ziqing Ma Linxiao Yang Tian Zhou Rui Xia Yi Wang Qingsong Wen Liang Sun 59 15 0 14 Jun 2023
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting Xing Wang Zhendong Wang Kexin Yang Junlan Feng Zhi-yan Song Chao Deng Lin Zhu AI4TS 39 3 0 12 Jun 2023
Feature Programming for Multivariate Time Series Prediction Alex Reneau Jerry Yao-Chieh Hu Chenwei Xu Weijian Li Ammar Gilani Han Liu AI4TS 68 8 0 09 Jun 2023
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective Time Series Forecasting Ebenezer R. H. P. Isaac Bulbul Singh AI4TS 44 1 0 09 Jun 2023
Non-autoregressive Conditional Diffusion Models for Time Series Prediction Lifeng Shen James Kwok DiffM AI4CE 97 57 0 08 Jun 2023
Probabilistic Solar Proxy Forecasting with Neural Network Ensembles Joshua D. Daniell P. Mehta 26 9 0 03 Jun 2023
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Owen Queen Thomas Hartvigsen Teddy Koker Huan He Theodoros Tsiligkaridis Marinka Zitnik AI4TS 98 21 0 03 Jun 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 99 121 0 30 May 2023
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers Zahra Atashgahi Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu AI4TS AI4CE 64 1 0 28 May 2023
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting Zheng Sun Yi Wei Wenxiao Jia Long Yu AI4TS 56 0 0 25 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 63 0 0 24 May 2023
Deep Learning based Forecasting: a case study from the online fashion industry Manuel Kunz Stefan Birr Mones Raslan Lei Ma Zhuguo Li ... Armin Kekić Michael Narodovitch Kashif Rasul Julian Sieber Tim Januschowski 117 16 0 23 May 2023
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting Jinliang Deng Xiusi Chen Renhe Jiang Du Yin Yezhou Yang Xuan Song Ivor W. Tsang BDL AI4TS 112 23 0 22 May 2023
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting Xue Wang Tian Zhou Qingsong Wen Jinyang Gao Bolin Ding Rong Jin AI4TS 85 45 0 20 May 2023
Differential Convolutional Fuzzy Time Series Forecasting Tianxiang Zhan Yuanpeng He Yong Deng Zerui Li AI4TS 68 8 0 15 May 2023
Hierarchically Coherent Multivariate Mixture Networks Kin G. Olivares Dave Luo Cristian Challu Stefania La Vattiata Max Mergenthaler-Canseco A. Dubrawski BDL AI4TS 48 0 0 11 May 2023
Full Scaling Automation for Sustainable Development of Green Data Centers Shiyu Wang Yinbo Sun Xiaoming Shi Shiyi Zhu Linfao Ma James Y. Zhang Yifei Zheng Jian Liu 115 8 0 01 May 2023
Long-term Forecasting with TiDE: Time-series Dense Encoder Abhimanyu Das Weihao Kong Andrew B. Leach Shaan Mathur Rajat Sen Rose Yu AI4TS 132 281 0 17 Apr 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 104 101 0 11 Apr 2023
A Deep Learning Approach Towards Generating High-fidelity Diverse Synthetic Battery Datasets Janamejaya Channegowda Vageesh Maiya Chaitanya Lingaraj 56 5 0 09 Apr 2023
Handling Concept Drift in Global Time Series Forecasting Ziyi Liu Rakshitha Godahewa Kasun Bandara Christoph Bergmeir AI4TS 63 9 0 04 Apr 2023
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting Xiao He Ye Li Jian Tan Bin Wu Feifei Li AI4TS 81 28 0 04 Apr 2023
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution Rui Luo Vikram Krishnamurthy 66 2 0 29 Mar 2023
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey G. Jin Yuxuan Liang Yuchen Fang Zezhi Shao Jincai Huang Junbo Zhang Yu Zheng AI4TS AI4CE 145 211 0 25 Mar 2023
Conformal Prediction for Time Series with Modern Hopfield Networks Andreas Auer M. Gauch D. Klotz Sepp Hochreiter AI4TS 99 30 0 22 Mar 2023
TsSHAP: Robust model agnostic feature-based explainability for time series forecasting V. Raykar Arindam Jati Sumanta Mukherjee Nupur Aggarwal Kanthi Kiran Sarpatwar Giridhar Ganapavarapu Roman Vaculin FAtt AI4TS 47 1 0 22 Mar 2023
Time Series Contrastive Learning with Information-Aware Augmentations Dongsheng Luo Wei Cheng Yingheng Wang Dongkuan Xu Jingchao Ni ... Xuchao Zhang Yanchi Liu Yuncong Chen Haifeng Chen Xiang Zhang AI4TS 60 63 0 21 Mar 2023
Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting Terence L van Zyl AI4TS 40 2 0 20 Mar 2023
Discovering Predictable Latent Factors for Time Series Forecasting Jingyi Hou Zhen Dong Jiayu Zhou Zhijie Liu AI4TS BDL 87 1 0 18 Mar 2023
Effectively Modeling Time Series with Simple Discrete State Spaces Michael Zhang Khaled Kamal Saab Michael Poli Tri Dao Karan Goel Christopher Ré AI4TS 76 48 0 16 Mar 2023
Model scale versus domain knowledge in statistical forecasting of chaotic systems W. Gilpin AI4TS 102 23 0 13 Mar 2023
TSMixer: An All-MLP Architecture for Time Series Forecasting Si-An Chen Chun-Liang Li Nate Yoder Sercan O. Arik Tomas Pfister AI4TS 147 190 0 10 Mar 2023
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters Julie Keisler El-Ghazali Talbi Sandra Claudel Gilles Cabriel 89 6 0 27 Feb 2023
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density Junwoo Park Jungsoo Lee Youngin Cho W. Shin Dongmin Kim Jaegul Choo Edward Choi AI4TS 39 9 0 27 Feb 2023
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance Sotiris Pelekis Evangelos Karakolis Francisco Silva Vasileios Schoinas S. Mouzakitis Georgios Kormpakis N. Amaro J. Psarras AI4TS 72 15 0 25 Feb 2023
A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers Sotiris Pelekis Ioannis-Konstantinos Seisopoulos Evangelos Spiliotis Theodosios Pountridis Evangelos Karakolis S. Mouzakitis D. Askounis 67 19 0 23 Feb 2023
One Fits All:Power General Time Series Analysis by Pretrained LM Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 182 443 0 23 Feb 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting Wei Fan Pengyang Wang Dongkun Wang Dongjie Wang Yuanchun Zhou Yanjie Fu AI4TS 116 86 0 22 Feb 2023
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies Fang-le Zhou Chenle Pan Lintao Ma Yu Liu Shiyu Wang ... Xu Hu Yun Hu Yang Zheng Lei Lei Yun Hu 84 3 0 11 Feb 2023
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing Zhe Li Zhongwen Rao Lujia Pan Zenglin Xu AI4TS 81 64 0 09 Feb 2023
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information Benedikt Heidrich Kaleb Phipps Oliver Neumann Marian Turowski Ralf Mikut V. Hagenmeyer AI4TS BDL 61 2 0 06 Feb 2023