Monash Time Series Forecasting Archive

14 May 2021

Papers citing "Monash Time Series Forecasting Archive"

33 / 33 papers shown

Title
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data Chengsen Wang Qi Qi Zhongwen Rao Lujia Pan Jingyu Wang Jianxin Liao AI4TS 24 0 0 15 May 2025
Do global forecasting models require frequent retraining? Marco Zanotti 39 0 0 01 May 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling Hao Li Yu Huang Chang Xu Viktor Schlegel Ren-He Jiang R. Batista-Navarro Goran Nenadic Jiang Bian DiffM AI4CE 161 3 0 04 Mar 2025
TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting Young-Chae Hong Bei Xiao Yangho Chen AI4TS 69 0 0 25 Feb 2025
Forecasting time series with constraints Nathan Doumèche Francis Bach Éloi Bedek Gérard Biau Claire Boyer Y. Goude AI4TS 45 0 0 14 Feb 2025
TimeHF: Billion-Scale Time Series Models Guided by Human Feedback Yongzhi Qi Hao Hu Dazhou Lei Jianshen Zhang Zhengxin Shi Yulin Huang Zhengyu Chen Xiaoming Lin Zuo-jun Shen AI4TS AI4CE 49 1 0 28 Jan 2025
AALF: Almost Always Linear Forecasting Matthias Jakobs Thomas Liebig AI4TS 86 0 0 17 Jan 2025
TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis Sabera Talukder Yisong Yue Georgia Gkioxari AI4TS 48 12 0 03 Jan 2025
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities Mingyu Jin Hua Tang Chong Zhang Qinkai Yu Chengzhi Liu Suiyuan Zhu Yongfeng Zhang Jundong Li AI4TS 112 28 0 31 Dec 2024
Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations M. Germán-Morales A. J. Rivera-Rivas M. J. del Jesus Díaz C. J. Carmona AI4TS AI4CE 56 0 0 15 Oct 2024
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting Marcel Kollovieh Marten Lienen David Lüdke Leo Schwinn Stephan Günnemann AI4TS BDL DiffM 45 6 0 03 Oct 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts Xiaoming Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 46 28 0 24 Sep 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 37 4 0 24 Sep 2024
A Survey of Transformer Enabled Time Series Synthesis Alexander Sommers Logan Cummins Sudip Mittal Shahram Rahimi Maria Seale Joseph Jaboure Thomas Arnold AI4TS 43 2 0 04 Jun 2024
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders Qichao Shentu Beibu Li Kai Zhao Yang Shu Zhongwen Rao Lujia Pan Bin Yang Chenjuan Guo AI4TS 53 5 0 24 May 2024
Forecasting with Hyper-Trees Alexander März Kashif Rasul 44 0 0 13 May 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 38 17 0 29 Feb 2024
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction Cheng Feng Long Huang Denis Krompass AI4TS 23 5 0 12 Feb 2024
Timer: Generative Pre-trained Transformers Are Large Time Series Models Yong Liu Haoran Zhang Chenyu Li Xiangdong Huang Jianmin Wang Mingsheng Long AIFin AI4TS AI4CE 39 50 0 04 Feb 2024
On Forecast Stability Rakshitha Godahewa Christoph Bergmeir Zeynep Erkin Baz Chengjun Zhu Zhangdi Song Salvador Garcia Dario Benavides 14 2 0 26 Oct 2023
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting Marcel Kollovieh Abdul Fatir Ansari Michael Bohlke-Schneider Jasper Zschiegner Hao Wang Yuyang Wang DiffM AI4TS 20 46 0 21 Jul 2023
Forecasting Early with Meta Learning Shayan Jawed Kiran Madhusudhanan Vijaya Krishna Yalavarthi Lars Schmidt-Thieme AI4TS 29 0 0 19 Jul 2023
Revisiting the Robustness of the Minimum Error Entropy Criterion: A Transfer Learning Case Study Luis P. Silvestrin Shujian Yu Mark Hoogendoorn OOD 42 1 0 17 Jul 2023
Adaptive Sampling for Probabilistic Forecasting under Distribution Shift Luca Masserano Syama Sundar Rangapuram Shubham Kapoor Rajbir-Singh Nirwan Youngsuk Park Michael Bohlke-Schneider TTA AI4TS 34 2 0 23 Feb 2023
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization Xuhai Xu Han Zhang Yasaman S. Sefidgar Yiyi Ren Xin Liu ... Tim Althoff Margaret E. Morris E. Riskin Jennifer Mankoff A. Dey 44 39 0 04 Nov 2022
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 36 23 0 07 Oct 2022
FRANS: Automatic Feature Extraction for Time Series Forecasting A. Chernikov Chang Wei Tan Pablo Montero-Manso Christoph Bergmeir AI4TS 16 1 0 15 Sep 2022
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting Zakaria Elabid Tanujit Chakraborty Abdenour Hadid AI4TS 40 20 0 08 Sep 2022
Controllable Data Generation by Deep Learning: A Review Shiyu Wang Yuanqi Du Xiaojie Guo Bo Pan Zhaohui Qin Liang Zhao 33 28 0 19 Jul 2022
Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments Christos Tzagkarakis Pavlos Charalampidis Stylianos Roubakis Alexandros G. Fragkiadakis S. Ioannidis AI4TS 16 1 0 15 Jun 2022
Efficient Automated Deep Learning for Time Series Forecasting Difan Deng Florian Karl Frank Hutter Bernd Bischl Marius Lindauer AI4TS 38 16 0 11 May 2022
Few-Shot Forecasting of Time-Series with Heterogeneous Channels L. Brinkmeyer Rafael Rêgo Drumond Johannes Burchert Lars Schmidt-Thieme AI4TS 26 7 0 07 Apr 2022
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,900 0 14 Dec 2020