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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
Variational quantization for state space models Etienne David Jean Bellot Sylvain Le Corff AI4TS BDL 77 1 0 17 Apr 2024
The impact of data set similarity and diversity on transfer learning success in time series forecasting Claudia Ehrig Benedikt Sonnleitner Ursula Neumann Catherine Cleophas Germain Forestier AI4TS 74 1 0 09 Apr 2024
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting Hengyu Ye Jiadong Chen Shijin Gong Fuxin Jiang Tieying Zhang Jianjun Chen Xiaofeng Gao AI4TS 71 4 0 08 Apr 2024
From Similarity to Superiority: Channel Clustering for Time Series Forecasting Jialin Chen J. E. Lenssen Aosong Feng Weihua Hu Matthias Fey Leandros Tassiulas J. Leskovec Rex Ying AI4TS 86 16 0 31 Mar 2024
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods Xiangfei Qiu Jilin Hu Lekui Zhou Xingjian Wu Junyang Du ... Chenjuan Guo Aoying Zhou Christian S. Jensen Zhenli Sheng Bin Yang AI4TS 158 87 0 29 Mar 2024
Multi-channel Time Series Decomposition Network For Generalizable Sensor-Based Activity Recognition Jianguo Pan Zhengxin Hu Lingdun Zhang Xia Cai AI4TS 37 2 0 28 Mar 2024
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting Xiaobing Yuan Ling Chen AI4TS 77 2 0 26 Mar 2024
Scalable Spatiotemporal Prediction with Bayesian Neural Fields Feras A. Saad Jacob Burnim Colin Carroll Brian Patton Urs Köster Rif A. Saurous Matthew Hoffman BDL AI4TS AI4CE 66 9 0 12 Mar 2024
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning Peiyuan Liu Hang Guo Tao Dai Naiqi Li Jigang Bao Xudong Ren Yong Jiang Shu-Tao Xia AI4TS 172 31 0 12 Mar 2024
$$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting$ $\textbf{S}^2$ IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting Zijie Pan Yushan Jiang Sahil Garg Anderson Schneider Yuriy Nevmyvaka Dongjin Song AI4TS 148 8 0 09 Mar 2024
tsGT: Stochastic Time Series Modeling With Transformer Lukasz Kuciñski Witold Drzewakowski Mateusz Olko Piotr Kozakowski Lukasz Maziarka Marta Emilia Nowakowska Lukasz Kaiser Piotr Milo's 80 1 0 08 Mar 2024
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting Kiran Madhusudhanan Shayan Jawed Lars Schmidt-Thieme BDL AI4TS 97 1 0 07 Mar 2024
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize? Kseniia Kuvshinova Olga Tsymboi Alina Kostromina Dmitry Simakov Elizaveta Kovtun AI4TS 81 2 0 04 Mar 2024
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting Young-Jin Park Donghyun Kim Frédéric Odermatt Juho Lee KyungHyun Kim AI4TS 72 4 0 29 Feb 2024
Automated Statistical Model Discovery with Language Models Michael Y. Li Emily B. Fox Noah D. Goodman 89 19 0 27 Feb 2024
Generative Pretrained Hierarchical Transformer for Time Series Forecasting Zhiding Liu Jiqian Yang Mingyue Cheng Yucong Luo Zhi Li AI4TS 79 19 0 26 Feb 2024
GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series Chengzhe Piao Taiyu Zhu S. Baldeweg Paul Taylor Pantelis Georgiou Jiahao Sun Jun Wang Kezhi Li AI4TS 67 2 0 26 Feb 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting Haoxin Liu Zhiyuan Zhao Jindong Wang Harshavardhan Kamarthi B. A. Prakash AI4TS LRM VLM 109 36 0 25 Feb 2024
Deep Coupling Network For Multivariate Time Series Forecasting Kun Yi Qi Zhang Hui He Kaize Shi Liang Hu Ning An ZhenDong Niu AI4TS 65 6 0 23 Feb 2024
Right on Time: Revising Time Series Models by Constraining their Explanations Maurice Kraus David Steinmann Antonia Wüst Andre Kokozinski Kristian Kersting AI4TS 94 4 0 20 Feb 2024
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data Chin-Chia Michael Yeh Yujie Fan Xin Dai Uday Singh Saini Vivian Lai ... Huiyuan Chen Yan Zheng Zhongfang Zhuang Liang Wang Wei Zhang AI4TS 57 8 0 16 Feb 2024
Parametric Augmentation for Time Series Contrastive Learning Xu Zheng Tianchun Wang Wei Cheng Aitian Ma Haifeng Chen Mo Sha Dongsheng Luo AI4TS 82 15 0 16 Feb 2024
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting Yanjun Zhao Tian Zhou Chao Chen Liang Sun Yi Qian Rong Jin AI4TS 69 2 0 08 Feb 2024
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning Hao Wang Xu Ju Jiangtong Li Zhijian Xu Dawei Cheng Qiang Xu AI4TS KELM 92 19 0 07 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski AIFin AI4TS 119 154 0 06 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 199 205 0 04 Feb 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 91 28 0 04 Feb 2024
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals Daojun Liang Haixia Zhang Dongfeng Yuan Bingzheng Zhang Minggao Zhang AI4TS 57 6 0 04 Feb 2024
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning Haozhi Gao Qianqian Ren Jinbao Li AI4TS 81 3 0 31 Jan 2024
IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting Wei Fan Shun Zheng Pengyang Wang Rui Xie Kun Yi Yanjie Fu Jiang Bian Yanjie Fu AI4TS OOD 50 3 0 30 Jan 2024
From GARCH to Neural Network for Volatility Forecast Pengfei Zhao Haoren Zhu Wilfred Siu Hung Ng Dik Lun Lee AIFin 98 7 0 29 Jan 2024
A Survey of Deep Learning and Foundation Models for Time Series Forecasting John A. Miller Mohammed Aldosari Farah Saeed Nasid Habib Barna Subas Rana I. Arpinar Ninghao Liu AI4TS AI4CE 111 22 0 25 Jan 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 85 25 0 17 Jan 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Vijay Ekambaram Arindam Jati Pankaj Dayama Sumanta Mukherjee Nam H. Nguyen Wesley M. Gifford Chandra Reddy Jayant Kalagnanam AI4TS VLM 176 35 0 08 Jan 2024
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting Xiang Ma Xue-mei Li Lexin Fang Tianlong Zhao Caiming Zhang AI4TS 31 15 0 04 Jan 2024
Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows Teodor Chiaburu Felix Bießmann AI4TS AI4CE 53 3 0 04 Jan 2024
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting Wanlin Cai Yuxuan Liang Xianggen Liu Jianshuai Feng Yuankai Wu AI4TS 104 92 0 31 Dec 2023
TSPP: A Unified Benchmarking Tool for Time-series Forecasting Jan Bkaczek Dmytro Zhylko Gilberto Titericz Sajad Darabi Jean-François Puget Izzy Putterman Dawid Majchrowski Anmol Gupta Kyle Kranen Pawel Morkisz AI4TS 94 1 0 28 Dec 2023
TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning Jiexi Liu Songcan Chen AI4TS 77 40 0 25 Dec 2023
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting Shane Bergsma Timothy J. Zeyl Lei Guo AI4TS 100 3 0 22 Dec 2023
Deep Non-Parametric Time Series Forecaster Syama Sundar Rangapuram Jan Gasthaus Lorenzo Stella Valentin Flunkert David Salinas Yuyang Wang Tim Januschowski AI4TS 89 6 0 22 Dec 2023
Fine-grained Forecasting Models Via Gaussian Process Blurring Effect Sepideh Koohfar Laura Dietz DiffM AI4TS 54 0 0 21 Dec 2023
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting Yanhong Li Jack L. Xu D. Anastasiu AI4TS 60 11 0 14 Dec 2023
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting Transformer Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu AI4TS 51 7 0 10 Dec 2023
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 89 1 0 05 Dec 2023
XAI for time-series classification leveraging image highlight methods Georgios Makridis G. Fatouros Vasileios Koukos Dimitrios Kotios D. Kyriazis Ioannis Soldatos AI4TS 56 2 0 28 Nov 2023
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition Xiaohan Ding Yiyuan Zhang Yixiao Ge Sijie Zhao Lin Song Xiangyu Yue Ying Shan VLM AI4TS SSL 111 131 0 27 Nov 2023
One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors Tian Zhou Peisong Niu Xue Wang Liang Sun Rong Jin AI4TS 103 2 0 24 Nov 2023
A projected nonlinear state-space model for forecasting time series signals Christian Donner Anuj Mishra Hideaki Shimazaki AI4TS 71 0 0 22 Nov 2023
Hierarchical Joint Graph Learning and Multivariate Time Series Forecasting Juhyeon Kim Hyungeun Lee Seungwon Yu Ung Hwang Wooyeol Jung Miseon Park Kijung Yoon AI4TS 47 2 0 21 Nov 2023