Title
Zero-Shot Time Series Forecasting with Covariates via In-Context Learning Andreas Auer Raghul Parthipan Pedro Mercado Abdul Fatir Ansari Lorenzo Stella Bernie Wang Michael Bohlke-Schneider Syama Sundar Rangapuram AI4TS 63 0 0 03 Jun 2025
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models Xingzhuo Guo Yu Zhang Baixu Chen Haoran Xu Jianmin Wang Mingsheng Long DiffM AI4TS 145 2 0 02 Mar 2025
Recurrent Interpolants for Probabilistic Time Series Prediction Yu Chen Marin Biloš Sarthak Mittal Wei Deng Kashif Rasul Anderson Schneider BDL DiffM AI4TS 61 0 0 18 Sep 2024
Data Augmentation for Multivariate Time Series Classification: An Experimental Study Romain Ilbert Thai V. Hoang Zonghua Zhang 65 1 0 10 Jun 2024
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model Weiqi Zhang Jiexia Ye Ke Yi Yongzi Yu Ziyue Li Jia Li Fugee Tsung AI4TS AI4CE 92 29 0 03 May 2024
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting Gareth Davies AI4TS 125 1 0 29 Apr 2024
The State of Lithium-Ion Battery Health Prognostics in the CPS Era Gaurav Shinde Rohan Mohapatra Pooja Krishan Harish Garg Srikanth Prabhu Sanchari Das Mohammad Masum Saptarshi Sengupta 105 1 0 28 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
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting Young-Jin Park Donghyun Kim Frédéric Odermatt Juho Lee KyungHyun Kim AI4TS 67 4 0 29 Feb 2024
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations Xinyi Wang Lang Tong Qing Zhao AI4TS 67 3 0 21 Feb 2024
The Rise of Diffusion Models in Time-Series Forecasting Caspar Meijer Lydia Y. Chen DiffM AI4TS 89 10 0 05 Jan 2024
Deep Non-Parametric Time Series Forecaster Syama Sundar Rangapuram Jan Gasthaus Lorenzo Stella Valentin Flunkert David Salinas Yuyang Wang Tim Januschowski AI4TS 87 6 0 22 Dec 2023
News Signals: An NLP Library for Text and Time Series Chris Hokamp D. Ghalandari Parsa Ghaffari AI4TS 188 1 0 18 Dec 2023
Comparative Study of Predicting Stock Index Using Deep Learning Models Harshal Patel B. Bolla Sabeesh Ethiraj D. Reddy AI4TS 117 1 0 24 Jun 2023
Making forecasting self-learning and adaptive -- Pilot forecasting rack Shaun C. D'Souza Dheeraj Shah Amareshwar Allati Parikshit Soni 16 0 0 12 Jun 2023
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise Abdullah Alomar M. Dahleh Sean Mann Devavrat Shah AI4TS 30 0 0 25 May 2023
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study Saed Alizami Kasun Bandara A. Eshragh Foaad Iravani 65 1 0 01 Dec 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 63 0 0 24 Aug 2022
Neural Forecasting of the Italian Sovereign Bond Market with Economic News Sergio Consoli L. Pezzoli Elisa Tosetti 49 4 0 11 Mar 2022
A Review of Open Source Software Tools for Time Series Analysis Yunus Parvej Faniband I. Ishak S. M. Sait AI4TS 73 6 0 10 Mar 2022
Interpretability in Safety-Critical FinancialTrading Systems Gabriel Deza Adelin Travers C. Rowat Nicolas Papernot AAML AIFin 101 1 0 24 Sep 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 51 0 02 Aug 2021
Deep Autoregressive Models with Spectral Attention Fernando Moreno-Pino Pablo Martínez Olmos Antonio Artés-Rodríguez AI4TS 64 18 0 13 Jul 2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models Tijin Yan Hongwei Zhang Tong Zhou Yufeng Zhan Yuanqing Xia DiffM AI4TS 82 40 0 18 Jun 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 80 17 0 02 Mar 2021
Do We Really Need Deep Learning Models for Time Series Forecasting? Shereen Elsayed Daniela Thyssens Ahmed Rashed H. Jomaa Lars Schmidt-Thieme AI4TS 81 107 0 06 Jan 2021
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 138 378 0 04 Dec 2020
Graph Deep Factors for Forecasting Hongjie Chen Ryan A. Rossi K. Mahadik Sungchul Kim Hoda Eldardiry BDL AI4TS 51 0 0 14 Oct 2020
N-BEATS neural network for mid-term electricity load forecasting Boris N. Oreshkin Grzegorz Dudek Paweł Pełka Ekaterina Turkina AI4TS 50 84 0 24 Sep 2020
Explainable boosted linear regression for time series forecasting Igor Ilic Berk Görgülü Mucahit Cevik M. Baydogan AI4TS 56 63 0 18 Sep 2020
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models Fadhel Ayed Lorenzo Stella Tim Januschowski Jan Gasthaus AI4TS 103 10 0 30 Jul 2020
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models Stephan Rabanser Tim Januschowski Valentin Flunkert David Salinas Jan Gasthaus BDL AI4TS 80 20 0 20 May 2020
Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study M. Löning Franz J. Király AI4TS SyDa 58 4 0 16 May 2020
Meta-learning framework with applications to zero-shot time-series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio UQCV AI4TS AI4CE 253 113 0 07 Feb 2020
Intermittent Demand Forecasting with Deep Renewal Processes Ali Caner Türkmen Bernie Wang Tim Januschowski AI4TS 47 17 0 23 Nov 2019
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes David Salinas Michael Bohlke-Schneider Laurent Callot Roberto Medico Jan Gasthaus AI4TS 89 229 0 07 Oct 2019
A Quantile-based Approach for Hyperparameter Transfer Learning David Salinas Huibin Shen Valerio Perrone 52 3 0 30 Sep 2019
sktime: A Unified Interface for Machine Learning with Time Series M. Löning A. Bagnall S. Ganesh V. Kazakov Jason Lines Franz J. Király SyDa AI4TS 72 233 0 17 Sep 2019
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hansika Hewamalage Christoph Bergmeir Kasun Bandara AI4TS 110 907 0 02 Sep 2019
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting Rajat Sen Hsiang-Fu Yu Inderjit Dhillon AI4TS 140 366 0 09 May 2019