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 / 160 papers shown

Title
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting Young-Jin Park Donghyun Kim Frédéric Odermatt Juho Lee KyungHyun Kim AI4TS 44 3 0 29 Feb 2024
Right on Time: Revising Time Series Models by Constraining their Explanations Maurice Kraus David Steinmann Antonia Wüst Andre Kokozinski Kristian Kersting AI4TS 40 4 0 20 Feb 2024
FreDF: Learning to Forecast in the Frequency Domain Hao Wang Licheng Pan Zhichao Chen Degui Yang Sen Zhang Yifei Yang Xinggao Liu Haoxuan Li Dacheng Tao AI4TS 65 14 0 04 Feb 2024
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks Haowen Hou F. Richard Yu AI4TS 35 21 0 17 Jan 2024
SAMSGL: Series-Aligned Multi-Scale Graph Learning for Spatio-Temporal Forecasting Xiaobei Zou Luolin Xiong Yang Tang Jürgen Kurths AI4TS 48 1 0 05 Dec 2023
A projected nonlinear state-space model for forecasting time series signals Christian Donner Anuj Mishra Hideaki Shimazaki AI4TS 26 0 0 22 Nov 2023
Deep State-Space Model for Predicting Cryptocurrency Price Shalini Sharma A. Majumdar Émilie Chouzenoux Victor Elvira 28 0 0 21 Nov 2023
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 25 10 0 19 Nov 2023
OmniVec: Learning robust representations with cross modal sharing Siddharth Srivastava Gaurav Sharma SSL 42 64 0 07 Nov 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis Zelin Ni Hang Yu Shizhan Liu Jianguo Li Weiyao Lin AI4TS 28 30 0 31 Oct 2023
On Forecast Stability Rakshitha Godahewa Christoph Bergmeir Zeynep Erkin Baz Chengjun Zhu Zhangdi Song Salvador Garcia Dario Benavides 16 2 0 26 Oct 2023
An Optimistic-Robust Approach for Dynamic Positioning of Omnichannel Inventories Pavithra Harsha Shivaram Subramanian Ali Koc Mahesh Ramakrishna Brian Quanz Dhruv Shah Chandra Narayanaswami 13 0 0 17 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Keli Zhang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 45 118 0 16 Oct 2023
Counterfactual Explanations for Time Series Forecasting Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 45 4 0 12 Oct 2023
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis Zezhi Shao Fei Wang Yongjun Xu Wei Wei Chengqing Yu ... Guangyin Jin Xin Cao Gao Cong Christian S. Jensen Xueqi Cheng AI4TS 23 59 0 09 Oct 2023
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting Defu Cao Furong Jia Sercan Ö. Arik Tomas Pfister Yixiang Zheng Wen Ye Yan Liu AI4TS 35 123 0 08 Oct 2023
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin Shiyu Wang Lintao Ma Zhixuan Chu James Y. Zhang ... Pin-Yu Chen Keli Zhang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 55 361 0 03 Oct 2023
Forecasting Emergency Department Crowding with Advanced Machine Learning Models and Multivariable Input Jalmari Tuominen Eetu Pulkkinen Jaakko Peltonen Juho Kanniainen N. Oksala A. Palomäki A. Roine 16 0 0 31 Aug 2023
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting Mingjie Qiu Zhiyi Tan Bingkun Bao 43 6 0 30 Aug 2023
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling Zihang Liu Le Yu T. Zhu Lei Sun AI4TS 21 0 0 22 Aug 2023
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series Chenxi Sun Hongyan Li Yaliang Li linda Qiao AI4TS 42 115 0 16 Aug 2023
DeepTSF: Codeless machine learning operations for time series forecasting Sotiris Pelekis Evangelos Karakolis Theodosios Pountridis Georgios Kormpakis G. Lampropoulos S. Mouzakitis D. Askounis AI4TS AI4CE 32 11 0 28 Jul 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting Nancy R. Xu Chrysoula Kosma Michalis Vazirgiannis AI4TS AI4CE 38 6 0 27 Jul 2023
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Li Shen Yuning Wei Yangzhu Wang Huaxin Qiu OOD AI4TS 13 7 0 19 Jun 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 37 105 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 34 1 0 28 May 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 35 0 0 24 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 35 8 0 01 May 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 30 86 0 11 Apr 2023
A Deep Learning Approach Towards Generating High-fidelity Diverse Synthetic Battery Datasets Janamejaya Channegowda Vageesh Maiya Chaitanya Lingaraj 26 5 0 09 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 19 25 0 04 Apr 2023
Discovering Predictable Latent Factors for Time Series Forecasting Jingyi Hou Zhen Dong Jiayu Zhou Zhijie Liu AI4TS BDL 35 1 0 18 Mar 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 13 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 23 16 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 38 75 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 29 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 33 62 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 26 2 0 06 Feb 2023
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks Kaleb Phipps Benedikt Heidrich Marian Turowski Moritz Wittig Ralf Mikut V. Hagenmeyer UQCV 26 1 0 03 Feb 2023
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting Jianqing Zhu Juncai He Lian Zhang Jinchao Xu 39 3 0 02 Feb 2023
Multi-view Kernel PCA for Time series Forecasting Arun Pandey Hannes De Meulemeester B. De Moor Johan A. K. Suykens AI4TS 41 5 0 24 Jan 2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting Syed Kazmi Berk Görgülü Mucahit Cevik M. Baydogan 33 5 0 02 Jan 2023
End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation Shiyu Wang Fan Zhou Yinbo Sun Lintao Ma James Y. Zhang Yang Zheng BDL AI4TS 38 8 0 28 Dec 2022
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition Madhurima Panja Tanujit Chakraborty Sk. Shahid Nadim I. Ghosh U. Kumar Nan Liu 19 24 0 16 Dec 2022
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting Xiyuan Zhang Xiaoyong Jin Karthick Gopalswamy Gaurav Gupta Youngsuk Park Xingjian Shi Hongya Wang Danielle C. Maddix Yuyang Wang AI4TS 30 19 0 15 Dec 2022
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting Yiqi Sun Zheng Shi Jianshen Zhang Yongzhi Qi Hao Hu Zuo-jun Shen AI4TS 16 0 0 13 Dec 2022
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting Zanwei Zhou Rui-Ming Zhong Chen Yang Yan Wang Xiaokang Yang Wei Shen AI4TS 53 9 0 06 Dec 2022
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations Weiyu Zong Mingqian Feng Griffin Heyrich Peter Chin BDL AI4TS 24 0 0 05 Dec 2022
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting Maowei Jiang Pengyu Zeng Kai-Ming Wang Huan Liu Wenbo Chen Haoran Liu AI4TS 35 50 0 02 Dec 2022
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks Yanhong Li Jack L. Xu D. Anastasiu AI4TS 13 13 0 29 Nov 2022