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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
Deep State-Space Model for Predicting Cryptocurrency Price Shalini Sharma A. Majumdar Émilie Chouzenoux Victor Elvira 81 0 0 21 Nov 2023
Infinite forecast combinations based on Dirichlet process Yinuo Ren Feng Li Yanfei Kang Jue Wang AI4TS 80 0 0 21 Nov 2023
Probabilistic Forecast Reconciliation with Kullback-Leibler Divergence Regularization Guanyu Zhang Feng Li Yanfei Kang AI4TS 29 0 0 21 Nov 2023
Correlated Attention in Transformers for Multivariate Time Series Quang Minh Nguyen Lam M. Nguyen Subhro Das AI4TS 45 1 0 20 Nov 2023
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 119 12 0 19 Nov 2023
Self-Distilled Representation Learning for Time Series Felix Pieper Konstantin Ditschuneit Martin Genzel Alexandra Lindt Johannes Otterbach AI4TS 69 1 0 19 Nov 2023
PEMS: Pre-trained Epidemic Time-series Models Harshavardhan Kamarthi B. A. Prakash AI4TS 102 2 0 14 Nov 2023
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting Kun Yi Qi Zhang Wei Fan Shoujin Wang Pengyang Wang Hui He Defu Lian Ning An Longbin Cao ZhenDong Niu AI4TS 128 157 0 10 Nov 2023
Vital Sign Forecasting for Sepsis Patients in ICUs Anubhav Bhatti Yuwei Liu Chen Dan Bingjie Shen San Lee Yonghwan Kim Jang Yong Kim 36 5 0 08 Nov 2023
Long-term Time Series Forecasting based on Decomposition and Neural Ordinary Differential Equations S. Lim Jaehyeon Park Seojin Kim Hyowon Wi Haksoo Lim Jinsung Jeon Jeongwhan Choi Noseong Park AI4TS AI4CE 80 2 0 08 Nov 2023
Multi-resolution Time-Series Transformer for Long-term Forecasting Yitian Zhang Liheng Ma Soumyasundar Pal Yingxue Zhang Mark Coates AI4TS 86 35 0 07 Nov 2023
OmniVec: Learning robust representations with cross modal sharing Siddharth Srivastava Gaurav Sharma SSL 97 67 0 07 Nov 2023
An adaptive standardisation methodology for Day-Ahead electricity price forecasting Carlos Sebastián Carlos E. González-Guillén Jesús Juan AI4TS 75 0 0 05 Nov 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting Samuel Dooley Gurnoor Singh Khurana Chirag Mohapatra Siddartha Naidu Colin White AI4TS 146 66 0 03 Nov 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis Zelin Ni Hang Yu Shizhan Liu Jianguo Li Weiyao Lin AI4TS 82 37 0 31 Oct 2023
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data Santosh Palaskar Vijay Ekambaram Arindam Jati Neelamadhav Gantayat Avirup Saha ... P. Mohapatra Harshit Kumar Jayant Kalagnanam N. Hemachandra N. Rangaraj 42 6 0 31 Oct 2023
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting Yang Lin AI4TS 68 0 0 30 Oct 2023
On Forecast Stability Rakshitha Godahewa Christoph Bergmeir Zeynep Erkin Baz Chengjun Zhu Zhangdi Song Salvador Garcia Dario Benavides 65 3 0 26 Oct 2023
OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud Ding Zou Wei Lu Zhibo Zhu Xingyu Lu Jun-ping Zhou Xiaojin Wang Kangyu Liu Haiqing Wang Kefan Wang Renen Sun 79 0 0 26 Oct 2023
Transfer learning for day-ahead load forecasting: a case study on European national electricity demand time series Alexandros-Menelaos Tzortzis Sotiris Pelekis Evangelos Spiliotis S. Mouzakitis J. Psarras D. Askounis AI4TS 63 13 0 24 Oct 2023
A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis Shuhan Zhong Sizhe Song Weipeng Zhuo Guanyao Li Yang Liu S.-H. Gary Chan AI4TS 107 19 0 18 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 73 0 0 17 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Yuxuan Liang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 174 125 0 16 Oct 2023
A decoder-only foundation model for time-series forecasting Abhimanyu Das Weihao Kong Rajat Sen Yichen Zhou AI4TS AI4CE 141 243 0 14 Oct 2023
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning Jiecheng Lu Xu Han Shihao Yang AI4TS 51 4 0 14 Oct 2023
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Kashif Rasul Arjun Ashok Andrew Robert Williams Hena Ghonia Rishika Bhagwatkar ... Nicolas Chapados Alexandre Drouin Valentina Zantedeschi Yuriy Nevmyvaka Irina Rish AI4TS BDL 90 50 0 12 Oct 2023
Counterfactual Explanations for Time Series Forecasting Zhendong Wang Ioanna Miliou Isak Samsten P. Papapetrou BDL AI4TS OOD 77 5 0 12 Oct 2023
Large Language Models Are Zero-Shot Time Series Forecasters Nate Gruver Marc Finzi Shikai Qiu Andrew Gordon Wilson AI4TS 97 376 0 11 Oct 2023
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons Jiawen Zhang Xumeng Wen Zhenwei Zhang Shun Zheng Jia Li Jiang Bian AI4TS 99 4 0 11 Oct 2023
NuTime: Numerically Multi-Scaled Embedding for Large-Scale Time-Series Pretraining Chenguo Lin Xumeng Wen Wei Cao Congrui Huang Jiang Bian Stephen Lin Zhirong Wu AI4TS 92 5 0 11 Oct 2023
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 182 573 0 10 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 77 77 0 09 Oct 2023
Performative Time-Series Forecasting Zhiyuan Zhao Alexander Rodríguez B. Prakash B. A. Prakash AI4TS 89 5 0 09 Oct 2023
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain Gerald Woo Chenghao Liu Akshat Kumar Doyen Sahoo AI4TS AI4CE 88 14 0 08 Oct 2023
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting Defu Cao Furong Jia Sercan O. Arik Tomas Pfister Yixiang Zheng Wen Ye Yan Liu AI4TS 114 138 0 08 Oct 2023
TimeGPT-1 Azul Garza Cristian Challu Max Mergenthaler-Canseco AI4TS 103 114 0 05 Oct 2023
TempoNet: Empowering long-term Knee Joint Angle Prediction with Dynamic Temporal Attention in Exoskeleton Control L. Saad Saoud Irfan Hussain 55 3 0 03 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 Yuxuan Liang Yuan-Fang Li Shirui Pan Qingsong Wen AI4TS 172 420 0 03 Oct 2023
Perceiver-based CDF Modeling for Time Series Forecasting Cat P. Le Chris Cannella Ali Hasan Yuting Ng Vahid Tarokh AI4TS 124 1 0 03 Oct 2023
TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework Yang Zhao Jiaxi Yang Wenbo Wang Helin Yang Dusit Niyato AI4TS AI4CE 102 9 0 29 Sep 2023
Unified Long-Term Time-Series Forecasting Benchmark Wenzhuo Zhou Szymon Haponiuk AI4TS 49 2 0 27 Sep 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 22 0 0 31 Aug 2023
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting Mingjie Qiu Zhiyi Tan Bingkun Bao 68 8 0 30 Aug 2023
Business Metric-Aware Forecasting for Inventory Management Helen Zhou Sercan O. Arik Jingtao Wang AI4TS 62 4 0 24 Aug 2023
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling Zihang Liu Le Yu T. Zhu Lei Sun AI4TS 64 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 99 132 0 16 Aug 2023
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting Oleksandr Shchur Caner Turkmen Nick Erickson Huibin Shen Alexander Shirkov Tony Hu Bernie Wang BDL AI4TS 88 27 0 10 Aug 2023
The Bayesian Context Trees State Space Model for time series modelling and forecasting I. Papageorgiou Ioannis Kontoyiannis AI4TS 67 2 0 02 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 55 11 0 28 Jul 2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting Nancy R. Xu Chrysoula Kosma Michalis Vazirgiannis AI4TS AI4CE 61 6 0 27 Jul 2023