v1v2v3v4 (latest)

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
Timer-XL: Long-Context Transformers for Unified Time Series Forecasting Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 109 12 0 07 Oct 2024
Metadata Matters for Time Series: Informative Forecasting with Transformers Jiaxiang Dong Haixu Wu Yuxuan Wang Li Zhang Jianmin Wang Mingsheng Long AI4TS 51 0 0 04 Oct 2024
Labor Migration Modeling through Large-scale Job Query Data Zhuoning Guo Le Zhang Hengshu Zhu Weijia Zhang Hui Xiong Hao Liu AI4TS 43 0 0 03 Oct 2024
FAN: Fourier Analysis Networks Yihong Dong Ge Li Yongding Tao Xue Jiang Kechi Zhang Jia Li Jing Su Jing Su Jun Zhang Jingjing Xu AI4TS 130 7 0 03 Oct 2024
Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series Muyao Wang Wenchao Chen Zhibin Duan Bo Chen AI4TS DiffM 66 0 0 27 Sep 2024
Using dynamic loss weighting to boost improvements in forecast stability Daan Caljon Jeff Vercauteren Simon De Vos Wouter Verbeke Jente Van Belle 118 0 0 26 Sep 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 273 8 0 24 Sep 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 187 56 0 24 Sep 2024
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts Hugo Inzirillo Remi Genet MoE 108 4 0 23 Sep 2024
Towards Long-Context Time Series Foundation Models Nina Żukowska Mononito Goswami Michał Wiliński Willa Potosnak Artur Dubrawski AI4TS 63 3 0 20 Sep 2024
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis Yi Xie Tianyu Qiu Yun Xiong Xiuqi Huang Xiaofeng Gao Chao Chen AI4TS 103 2 0 06 Sep 2024
An Evaluation of Deep Learning Models for Stock Market Trend Prediction Gonzalo Lopez Gil Paul Duhamel-Sebline Andrew McCarren AIFin 37 0 0 22 Aug 2024
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting Alireza Jafari Geoffrey Fox John B. Rundle A. Donnellan L. G. Ludwig AI4TS AI4CE 68 3 0 21 Aug 2024
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting Jiaheng Yin Zhengxin Shi Jianshen Zhang Xiaomin Lin Yulin Huang Yongzhi Qi Wei Qi AI4TS 51 0 0 19 Aug 2024
Agentic Retrieval-Augmented Generation for Time Series Analysis Chidaksh Ravuru Sagar Srinivas Sakhinana Venkataramana Runkana AI4TS 95 9 0 18 Aug 2024
Magazine Supply Optimization: a Case-study Duong Nguyen Ana Ulianovici Sami Achour Soline Aubry Nicolas Chesneau 22 0 0 16 Aug 2024
RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms Luis Roque Carlos Soares Luís Torgo AI4TS 70 1 0 06 Aug 2024
Time series forecasting with high stakes: A field study of the air cargo industry Abhinav Garg Naman Shukla Maarten Wormer AI4TS 29 1 0 29 Jul 2024
Machine Learning for Predicting Chaotic Systems Christof Schötz Alistair J R White Maximilian Gelbrecht Niklas Boers AI4CE 92 4 0 29 Jul 2024
DAM: Towards A Foundation Model for Time Series Forecasting L. N. Darlow Qiwen Deng Ahmed Hassan Martin Asenov Rajkarn Singh Artjom Joosen Adam Barker Amos Storkey AI4TS AI4CE 90 4 0 25 Jul 2024
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting Pierre-Daniel Arsenault Shengrui Wang Jean-Marc Patenande XAI AI4TS 120 3 0 22 Jul 2024
Long Input Sequence Network for Long Time Series Forecasting Chao Ma Yikai Hou Xiang Li Yinggang Sun Haining Yu AI4TS 54 0 0 18 Jul 2024
A Survey of AI-Powered Mini-Grid Solutions for a Sustainable Future in Rural Communities Craig Pirie Harsha Kalutarage Muhammad Shadi Hajar Nirmalie Wiratunga Subodha Charles ... Priyantha Buddhika Supun Wijesiriwardana Akila Dimantha Kithdara Hansamal Shalitha Pathiranage 30 1 0 17 Jul 2024
Omni-Dimensional Frequency Learner for General Time Series Analysis Xianing Chen Hanting Chen Hailin Hu AI4TS 75 0 0 15 Jul 2024
Membership Inference Attacks Against Time-Series Models Noam Koren Abigail Goldsteen Ariel Farkash Guy Amit 124 0 0 03 Jul 2024
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting Wei Fan Kun Yi Hangting Ye Zhiyuan Ning Qi Zhang Ning An AI4TS 116 11 0 29 Jun 2024
Forecasting with Deep Learning: Beyond Average of Average of Average Performance Vítor Cerqueira Luis Roque Carlos Soares 99 1 0 24 Jun 2024
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data Zexing Xu Linjun Zhang Sitan Yang Rasoul Etesami Hanghang Tong Huan Zhang Jiawei Han AI4TS 87 4 0 23 Jun 2024
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach Chengzhe Piao Taiyu Zhu Yu Wang S. Baldeweg Paul Taylor Pantelis Georgiou Jiahao Sun Jun Wang Kezhi Li FedML 76 0 0 21 Jun 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting Fan Zhou Chen Pan Lintao Ma Yu Liu James Zhang ... Weitao Lin Zi Zhuang Wenxin Ning Yunhua Hu Siqiao Xue AI4TS 60 1 0 18 Jun 2024
WindowMixer: Intra-Window and Inter-Window Modeling for Time Series Forecasting Quangao Liu Ruiqi Li Maowei Jiang Wei Yang Chen Liang Longlong Pang Zhuozhang Zou AI4TS 64 0 0 14 Jun 2024
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach Difan Deng Marius Lindauer AI4TS 96 0 0 07 Jun 2024
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models Ali Behrouz Michele Santacatterina Ramin Zabih Mamba AI4TS 90 5 0 06 Jun 2024
MGCP: A Multi-Grained Correlation based Prediction Network for Multivariate Time Series Zhicheng Chen Xi Xiao Ke-Li Xu Zhong Zhang Yu Rong Qing Li Guojun Gan Zhiqiang Xu Peilin Zhao AI4TS 79 0 0 30 May 2024
FTMixer: Frequency and Time Domain Representations Fusion for Time Series Modeling Zhengnan Li Yunxiao Qin Xilong Cheng Yuting Tan AI4TS 98 3 0 24 May 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting Shiyu Wang Haixu Wu Xiaoming Shi Tengge Hu Huakun Luo Lintao Ma James Y. Zhang Jun-ping Zhou AI4TS 142 155 0 23 May 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting Qingxiang Liu Xu Liu Chenghao Liu Qingsong Wen Yuxuan Liang AI4TS AI4CE 109 11 0 23 May 2024
Scaling-laws for Large Time-series Models Thomas D. P. Edwards James Alvey Justin Alsing Nam H. Nguyen Benjamin Dan Wandelt AI4TS AIFin 80 7 0 22 May 2024
Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform Noam Koren Kira Radinsky AI4TS 74 3 0 22 May 2024
Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study José Leites Vítor Cerqueira Carlos Soares AI4TS 76 3 0 18 May 2024
WEITS: A Wavelet-enhanced residual framework for interpretable time series forecasting Ziyou Guo Yan Sun Tieru Wu AI4TS 66 2 0 17 May 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting Stijn Verdenius Andrea Zerio Roy L.M. Wang BDL AI4TS AI4CE 116 4 0 16 May 2024
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting Feifei Li Suhan Guo Feng Han Jian Zhao Shen Furao 75 3 0 09 May 2024
ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers Arvid Weyrauch T. Steens Oskar Taubert Benedikt Hanke Aslan Eqbal Ewa Götz Achim Streit Markus Goetz Charlotte Debus 56 2 0 06 May 2024
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting Nannan Bian Minhong Zhu Li Chen Weiran Cai 44 0 0 06 May 2024
Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps Yuwei Liu Chen Dan Anubhav Bhatti Bingjie Shen Divij Gupta Surajsinh Parmar San Lee 48 0 0 02 May 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 151 5 0 01 May 2024
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting Gareth Davies AI4TS 127 1 0 29 Apr 2024
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand Slawek Smyl Boris N. Oreshkin Paweł Pełka Grzegorz Dudek AI4TS 81 0 0 26 Apr 2024
Designing forecasting software for forecast users: Empowering non-experts to create and understand their own forecasts Richard Stromer Oskar Triebe Chad Zanocco Ram Rajagopal AI4TS 57 0 0 22 Apr 2024