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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
Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts Prathamesh Deshpande Sunita Sarawagi AI4TS 54 0 0 05 Nov 2021
Cluster-and-Conquer: A Framework For Time-Series Forecasting Reese Pathak Rajat Sen Nikhil S. Rao N. Benjamin Erichson Michael I. Jordan Inderjit S. Dhillon AI4TS 76 2 0 26 Oct 2021
HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information Wentao Xu Weiqing Liu Lewen Wang Yingce Xia Jiang Bian Jian Yin Tie-Yan Liu AI4TS AIFin 94 49 0 26 Oct 2021
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins! Vedant Shah Gautam M. Shroff AI4TS 103 5 0 19 Oct 2021
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting Kiran Madhusudhanan Johannes Burchert Nghia Duong-Trung Stefan Born Lars Schmidt-Thieme AI4TS AI4CE 108 21 0 13 Oct 2021
A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids Xiangtian Zheng Nan Xu Loc Trinh Dongqi Wu Tong Huang S. Sivaranjani Yan Liu Le Xie AI4CE 67 47 0 12 Oct 2021
Chaos as an interpretable benchmark for forecasting and data-driven modelling W. Gilpin AI4TS 78 82 0 11 Oct 2021
Darts: User-Friendly Modern Machine Learning for Time Series J. Herzen Francesco Lässig Samuele Giuliano Piazzetta T. Neuer Léo Tafti ... Mounir Benheddi Camila Williamson Michal Kosinskihttps://www.semanticscholar.org/me/account M. Petrik Gaël Grosch AI4TS 217 223 0 07 Oct 2021
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking Soukayna Mouatadid Paulo Orenstein Genevieve Flaspohler Miruna Oprescu J. Cohen ... Sean Knight Maria Geogdzhayeva Sam Levang E. Fraenkel Lester W. Mackey AI4TS AI4Cl 146 14 0 21 Sep 2021
Neural forecasting at scale Philippe Chatigny Shengrui Wang Jean-Marc Patenaude and Boris N. Oreshkin AI4TS 88 1 0 20 Sep 2021
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting Wentao Xu Weiqing Liu Jiang Bian Jian Yin Tie-Yan Liu AI4TS 51 7 0 14 Sep 2021
Multimodal Meta-Learning for Time Series Regression Sebastian Pineda-Arango Felix Heinrich Kiran Madhusudhanan Lars Schmidt-Thieme AI4TS 69 15 0 05 Aug 2021
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series Paul Jeha Michael Bohlke-Schneider Pedro Mercado Shubham Kapoor Rajbir-Singh Nirwan Valentin Flunkert Jan Gasthaus Tim Januschowski AI4TS 110 52 0 02 Aug 2021
Topological Attention for Time Series Forecasting Sebastian Zeng Florian Graf Christoph Hofer Roland Kwitt AI4TS 56 26 0 19 Jul 2021
Long-term series forecasting with Query Selector -- efficient model of sparse attention J. Klimek Jakub Klímek W. Kraskiewicz Mateusz Topolewski AI4TS 122 6 0 19 Jul 2021
M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond F. Ziel 53 14 0 14 Jul 2021
Deep Autoregressive Models with Spectral Attention Fernando Moreno-Pino Pablo M. Olmos Antonio Artés-Rodríguez AI4TS 73 18 0 13 Jul 2021
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting Grzegorz Dudek Paweł Pełka AI4TS 45 1 0 08 Jul 2021
Probabilistic Time Series Forecasting with Implicit Quantile Networks Adele Gouttes Kashif Rasul Mateusz Koren Johannes Stephan T. Naghibi BDL AI4TS 57 24 0 08 Jul 2021
A comparison of LSTM and GRU networks for learning symbolic sequences Roberto Cahuantzi Xinye Chen S. Güttel 96 144 0 05 Jul 2021
Randomized Neural Networks for Forecasting Time Series with Multiple Seasonality Grzegorz Dudek BDL AI4TS 62 4 0 04 Jul 2021
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 146 2,383 0 24 Jun 2021
TS2Vec: Towards Universal Representation of Time Series Zhihan Yue Yujing Wang Juanyong Duan Tianmeng Yang Congrui Huang Yu Tong Bixiong Xu AI4TS 146 592 0 19 Jun 2021
On the benefits of maximum likelihood estimation for Regression and Forecasting Pranjal Awasthi Abhimanyu Das Rajat Sen A. Suresh AI4TS 77 10 0 18 Jun 2021
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction Minhao Liu Ailing Zeng Mu-Hwa Chen Zhijian Xu Qiuxia Lai Lingna Ma Qiang Xu AI4TS 131 389 0 17 Jun 2021
Hierarchically Regularized Deep Forecasting Biswajit Paria Rajat Sen Amr Ahmed Abhimanyu Das AI4TS 70 16 0 14 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark Coates BDL AI4TS 101 22 0 10 Jun 2021
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties Alex Troy Mallen Henning Lange J. Nathan Kutz AI4TS 63 8 0 10 Jun 2021
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting Cristian Challu Kin G. Olivares Gus Welter A. Dubrawski AI4TS 69 1 0 07 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 103 9 0 05 Jun 2021
Monash Time Series Forecasting Archive Rakshitha Godahewa Christoph Bergmeir Geoffrey I. Webb Rob J. Hyndman Pablo Montero-Manso AI4TS 88 163 0 14 May 2021
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx Kin G. Olivares Cristian Challu Grzegorz Marcjasz R. Weron A. Dubrawski AI4TS 99 151 0 12 Apr 2021
Deep Time Series Forecasting with Shape and Temporal Criteria Vincent Le Guen Nicolas Thome AI4TS 75 30 0 09 Apr 2021
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators Vítor Cerqueira Luís Torgo Carlos Soares AI4TS 101 7 0 01 Apr 2021
VisioRed: A Visualisation Tool for Interpretable Predictive Maintenance Spyridon Paraschos Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas 69 7 0 31 Mar 2021
Hierarchical forecasting with a top-down alignment of independent level forecasts Matthias Anderer Feng Li AI4TS 68 14 0 15 Mar 2021
A novel weighted approach for time series forecasting based on visibility graph Tianxiang Zhan Fuyuan Xiao AI4TS 68 5 0 14 Mar 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting Defu Cao Yujing Wang Juanyong Duan Ce Zhang Xia Zhu ... Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 72 526 0 13 Mar 2021
LSTMs and Deep Residual Networks for Carbohydrate and Bolus Recommendations in Type 1 Diabetes Management Jeremy Beauchamp Razvan Bunescu C. Marling Zhongen Li Chang Liu 27 8 0 06 Mar 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models Yucheng Lu Youngsuk Park Lifan Chen Bernie Wang Christopher De Sa Dean Phillips Foster AI4TS 82 17 0 02 Mar 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series Xing Han S. Dasgupta Joydeep Ghosh AI4TS 79 34 0 25 Feb 2021
AutoAI-TS: AutoAI for Time Series Forecasting Syed Yousaf Shah Dhaval Patel Long Vu Xuan-Hong Dang Bei Chen ... Gregory Bramble Wesley M. Gifford Giridhar Ganapavarapu Roman Vaculin Petros Zerfos AI4TS 89 42 0 24 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 138 36 0 20 Feb 2021
Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series Alasdair Tran A. Mathews Cheng Soon Ong Lexing Xie AI4TS AI4CE 60 13 0 15 Feb 2021
Domain Adaptation for Time Series Forecasting via Attention Sharing Xiaoyong Jin Youngsuk Park Danielle C. Maddix Bernie Wang Xifeng Yan TTA OOD AI4TS 186 78 0 13 Feb 2021
Meta-Learning for Koopman Spectral Analysis with Short Time-series Tomoharu Iwata Yoshinobu Kawahara AI4TS 57 0 0 09 Feb 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 194 320 0 28 Jan 2021
Adjusting for Autocorrelated Errors in Neural Networks for Time Series Fan-Keng Sun C. Lang Duane S. Boning OOD AI4TS 107 28 0 28 Jan 2021
Ensembles of Localised Models for Time Series Forecasting Rakshitha Godahewa Kasun Bandara Geoffrey I. Webb Slawek Smyl Christoph Bergmeir AI4TS 102 46 0 30 Dec 2020
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 140 382 0 04 Dec 2020