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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
Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting Xiaobin Hong Jiawei Zhang Wenzhong Li Sanglu Lu Jiajun Li AI4TS 111 0 0 03 Mar 2025
TimesBERT: A BERT-Style Foundation Model for Time Series Understanding Haoran Zhang Yong Liu Yunzhong Qiu Haixuan Liu Zhongyi Pei Jianmin Wang Mingsheng Long AI4TS 70 1 0 28 Feb 2025
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation Eyal Yakir Dor Tsur Haim Permuter AI4TS 128 0 0 27 Feb 2025
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series Forecasting Guoqi Yu Yaoming Li Juncheng Wang Xiaoyu Guo Angelica I. Aviles-Rivero Tong Yang Shujun Wang AI4TS 111 1 0 24 Feb 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models Raeid Saqur Anastasis Kratsios Florian Krach Yannick Limmer Jacob-Junqi Tian John Willes Blanka Horvath Frank Rudzicz MoE 152 0 0 24 Feb 2025
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation Juntong Ni Ziqiang Liu Shiyu Wang Ming Jin Wei Jin AI4TS 81 5 0 24 Feb 2025
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators João Pedro Matos-Carvalho Stefano Frizzo Stefenon Valderi Reis Quietinho Leithardt Kin-Choong Yow AI4TS 75 0 0 24 Feb 2025
Spatiotemporal Forecasting in Climate Data Using EOFs and Machine Learning Models: A Case Study in Chile Mauricio Herrera Francisca Kleisinger Andrés Wilsón 139 0 0 21 Feb 2025
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning Minbo Ma Kai Tang Huan Li Fei Teng Dalin Zhang Tianrui Li AI4TS 105 0 0 21 Feb 2025
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting Ruichu Cai Haiqin Huang Zhifang Jiang Zijian Li Changze Zhou Yuequn Liu Yuming Liu Zijian Li AI4TS CML 111 1 0 18 Feb 2025
Strada-LLM: Graph LLM for traffic prediction Seyed Mohamad Moghadas Yangxintong Lyu Bruno Cornelis Alexandre Alahi Adrian Munteanu AI4TS 104 1 0 17 Feb 2025
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak Madhab Barman Madhurima Panja Nachiketa Mishra Tanujit Chakraborty 33 1 0 15 Feb 2025
Investigating Compositional Reasoning in Time Series Foundation Models Willa Potosnak Cristian Challu Mononito Goswami Kin G. Olivares Michał Wiliński Nina Żukowska Artur Dubrawski ReLM AI4TS LRM 134 2 0 09 Feb 2025
Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting Siru Zhong Weilin Ruan Ming Jin Huan Li Qingsong Wen Yuxuan Liang VLM AI4TS 209 9 0 06 Feb 2025
STAN: Smooth Transition Autoregressive Networks Hugo Inzirillo Remi Genet 113 0 0 30 Jan 2025
SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting Wenxuan Xie Fanpu Cao AI4TS 84 1 0 27 Jan 2025
An Investigation into Seasonal Variations in Energy Forecasting for Student Residences Muhammad Umair Danish Mathumitha Sureshkumar Thanuri Fonseka Umeshika Uthayakumar Vinura Galwaduge 71 0 0 13 Jan 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks Fuhang Liang Rucong Xu Deng Lin OOD 95 0 0 10 Jan 2025
Progressive Supervision via Label Decomposition: An Long-Term and Large-Scale Wireless Traffic Forecasting Method Daojun Liang Haixia Zhang Dongfeng Yuan AI4TS 82 0 0 09 Jan 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis Sabera Talukder Yisong Yue Georgia Gkioxari AI4TS 145 14 0 03 Jan 2025
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation Silin Yang Dong Wang Haoqi Zheng Ruochun Jin RALM AI4TS 177 8 0 21 Dec 2024
Breaking the Context Bottleneck on Long Time Series Forecasting Chao Ma Yikai Hou Xiang Li Yinggang Sun Haining Yu Zhou Fang Jiaxing Qu AI4TS 131 0 0 21 Dec 2024
Financial Fine-tuning a Large Time Series Model Xinghong Fu Masanori Hirano Kentaro Imajo AI4TS AIFin 136 1 0 13 Dec 2024
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency Domain Zhengnan Li Haoxuan Li Hao Wang Jun Fang Duoyin Li Yunxiao Qin AI4TS 492 0 0 02 Dec 2024
AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability Stefan Meisenbacher Kaleb Phipps Oskar Taubert Marie Weiel Markus Gotz Ralf Mikut V. Hagenmeyer 123 0 0 30 Nov 2024
Act Now: A Novel Online Forecasting Framework for Large-Scale Streaming Data Daojun Liang Haixia Zhang Jing Wang Dongfeng Yuan Minggao Zhang AI4TS 145 0 0 28 Nov 2024
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting Yuang Zhao Tianyu Li Jiadong Chen Shenrong Ye Fuxin Jiang Tieying Zhang Xiaofeng Gao AI4TS 475 0 0 26 Nov 2024
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Sotiris Pelekis Evangelos Karakolis G. Lampropoulos S. Mouzakitis Ourania Markaki Christos Ntanos D. Askounis 164 1 0 25 Nov 2024
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection Mengxuan Li Ke Liu Hongyang Chen Jiajun Bu Hongwei Wang Haishuai Wang AI4TS 212 1 0 18 Nov 2024
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis Qiang Wu Gechang Yao Zhixi Feng Shuyuan Yang AI4TS 63 2 0 07 Nov 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer Jiawen Zhang Shun Zheng Xumeng Wen Xiaofang Zhou Jiang Bian Jiajun Li AI4TS 81 5 0 04 Nov 2024
FilterNet: Harnessing Frequency Filters for Time Series Forecasting Kun Yi Jingru Fei Qi Zhang Hui He Shufeng Hao Defu Lian Wei Fan AI4TS 122 18 0 03 Nov 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting Yanlong Wang Jinfeng Xu Fei Ma Shao-Lun Huang Danny Dongning Sun Xiao-Ping Zhang AI4TS 124 1 0 03 Nov 2024
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting Zhiding Liu Jiqian Yang Qingyang Mao Yuze Zhao Mingyue Cheng Zhi Li Qi Liu Enhong Chen AI4TS 61 0 0 30 Oct 2024
A Temporal Linear Network for Time Series Forecasting Remi Genet Hugo Inzirillo AI4TS 75 3 0 28 Oct 2024
Federated Time Series Generation on Feature and Temporally Misaligned Data Chenrui Fan Zhi Wen Soi Aditya Shankar Abele Malan Lydia Y. Chen FedML AI4TS 67 0 0 28 Oct 2024
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 538 1 0 28 Oct 2024
TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version Duc Kieu Tung Kieu Peng Han Bin Yang Christian S. Jensen Bac Le AI4TS 56 2 0 24 Oct 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting Jingwei Liu Ling Yang Hongyan Li Shenda Hong DiffM AI4TS 97 12 0 24 Oct 2024
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting Yuhua Liao Zetian Wang Peng Wei Qiangqiang Nie Zhenhua Zhang AI4TS 38 0 0 24 Oct 2024
xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories Maurice Kraus Felix Divo Devendra Singh Dhami Kristian Kersting AI4TS 96 6 0 22 Oct 2024
LLM-TS Integrator: Integrating LLM for Enhanced Time Series Modeling Can Chen Gabriel Oliveira Hossein Sharifi-Noghabi Tristan Sylvain AI4TS 54 2 0 21 Oct 2024
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis Shiyu Wang Jiawei Li Xiaoming Shi Zhou Ye Baichuan Mo Wenze Lin Shengtong Ju Zhixuan Chu Ming Jin AI4TS 118 18 0 21 Oct 2024
Forecasting Company Fundamentals Felix Divo Eric Endress Kevin Endler Kristian Kersting Devendra Singh Dhami AI4TS 70 0 0 21 Oct 2024
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning Ilya Kaufman Omri Azencot AI4TS 67 3 0 17 Oct 2024
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba Li Wu Wenbin Pei Jiulong Jiao Qiang Zhang Mamba AI4TS 82 2 0 15 Oct 2024
Active Learning of Robot Vision Using Adaptive Path Planning Julius Ruckin Federico Magistri Cyrill Stachniss Marija Popović SSL 102 1 0 14 Oct 2024
Mamba4Cast: Efficient Zero-Shot Time Series Forecasting with State Space Models Sathya Kamesh Bhethanabhotla Omar Swelam Julien N. Siems David Salinas Frank Hutter Mamba AI4TS AI4CE 97 8 0 12 Oct 2024
Towards Generalisable Time Series Understanding Across Domains Özgün Turgut Philip Muller Fernando Navarro Daniel Rueckert AI4TS 139 3 0 09 Oct 2024
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks Renat Sergazinov Elizabeth Chun Valeriya Rogovchenko Nathaniel Fernandes Nicholas Kasman I. Gaynanova AI4TS 82 4 0 08 Oct 2024