Unified Training of Universal Time Series Forecasting Transformers

4 February 2024

Silvio Savarese

Papers citing "Unified Training of Universal Time Series Forecasting Transformers"

43 / 43 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 19 0 0 15 May 2025
SmartPilot: A Multiagent CoPilot for Adaptive and Intelligent Manufacturing Chathurangi Shyalika Renjith Prasad Alaa Al Ghazo Darssan Eswaramoorthi Harleen Kaur Sara Shree Muthuselvam A. Sheth 28 0 0 10 May 2025
ALFEE: Adaptive Large Foundation Model for EEG Representation Wei Xiong Junming Lin Jiangtong Li Jie Li Changjun Jiang 30 0 0 07 May 2025
Retrieval Augmented Time Series Forecasting Sungwon Han Seungeon Lee M. Cha Sercan Ö. Arik Jinsung Yoon AI4TS 33 0 0 07 May 2025
How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades Rahuul Rangaraj Jimeng Shi Azam Shirali Rajendra Paudel Yanzhao Wu Giri Narasimhan 43 0 0 02 May 2025
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts Wenfa Wu Guanyu Zhang Zheng Tan Yi Wang Hongsheng Qi AI4TS 48 1 0 02 May 2025
TSRM: A Lightweight Temporal Feature Encoding Architecture for Time Series Forecasting and Imputation Robert Leppich Michael Stenger Daniel Grillmeyer Vanessa Borst Samuel Kounev AI4TS AI4CE 69 0 0 26 Apr 2025
Pets: General Pattern Assisted Architecture For Time Series Analysis Xiangkai Ma Xiaobin Hong Wenzhong Li Sanglu Lu AI4TS 32 0 0 19 Apr 2025
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation Ashraf Ghiye Baptiste Barreau Laurent Carlier Michalis Vazirgiannis 81 0 0 18 Mar 2025
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster Kanghui Ning Zijie Pan Yu Liu Yushan Jiang J. Zhang Kashif Rasul Anderson Schneider Lintao Ma Yuriy Nevmyvaka Dongjin Song VLM AI4TS 54 1 0 06 Mar 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 140 3 0 04 Mar 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models Raeid Saqur Anastasis Kratsios Florian Krach Yannick Limmer Jacob-Junqi Tian John Willes Blanka Horvath Frank Rudzicz MoE 47 0 0 24 Feb 2025
Lightweight Online Adaption for Time Series Foundation Model Forecasts Thomas L. Lee William Toner Rajkarn Singh Artjom Joosem Martin Asenov AI4TS 38 0 0 18 Feb 2025
Performance of Zero-Shot Time Series Foundation Models on Cloud Data William Toner Thomas L. Lee Artjom Joosen Rajkarn Singh Martin Asenov AI4TS 61 0 0 18 Feb 2025
LEAD: Large Foundation Model for EEG-Based Alzheimer's Disease Detection Yihe Wang Nan Huang Nadia Mammone Marco Cecchi Xiang Zhang 79 0 0 02 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 43 1 0 28 Jan 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Yu Huang Chang Xu Yueying Wu Wu-Jun Li Jiang Bian DiffM 34 3 0 10 Jan 2025
Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu Ritvik Gupta Wenduo Cheng Alexander Shen Junhong Shen Ameet Talwalkar M. Khodak AI4CE 48 6 0 05 Nov 2024
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer Jiawen Zhang Shun Zheng Xumeng Wen Xiaofang Zhou Jiang Bian Jiajun Li AI4TS 44 3 0 04 Nov 2024
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting Yanlong Wang J. Xu Fei Ma Shao-Lun Huang Danny Dongning Sun Xiao-Ping Zhang AI4TS 45 1 0 03 Nov 2024
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning Jialu Tang Tong Xia Yuan Lu Cecilia Mascolo Aaqib Saeed AI4MH 54 2 0 18 Oct 2024
Towards Neural Scaling Laws for Time Series Foundation Models Qingren Yao Chao-Han Huck Yang Renhe Jiang Yuxuan Liang Ming Jin Shirui Pan AI4TS AI4CE 42 7 0 16 Oct 2024
Generalizable autoregressive modeling of time series through functional narratives Ran Liu Wenrui Ma Ellen L. Zippi Hadi Pouransari Jingyun Xiao ... Behrooz Mahasseni Juri Minxha Erdrin Azemi Eva L. Dyer Ali Moin AI4TS 32 1 0 10 Oct 2024
Towards Generalisable Time Series Understanding Across Domains Özgün Turgut Philip Muller M. Menten Daniel Rueckert AI4TS 48 1 0 09 Oct 2024
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities Ezra Karger Houtan Bastani Chen Yueh-Han Zachary Jacobs Danny Halawi Fred Zhang P. Tetlock 33 6 0 30 Sep 2024
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts X. Shi Shiyu Wang Yuqi Nie Dianqi Li Zhou Ye Qingsong Wen Ming Jin AI4TS 38 28 0 24 Sep 2024
Zero-shot forecasting of chaotic systems Yuanzhao Zhang William Gilpin AI4TS 37 4 0 24 Sep 2024
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing Egon Persak Miguel F. Anjos Sebastian Lautz Aleksandar Kolev AI4TS 38 0 0 03 Jul 2024
Macroeconomic Forecasting with Large Language Models Andrea Carriero Davide Pettenuzzo Shubhranshu Shekhar 51 4 0 01 Jul 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
Low-Rank Adaptation of Time Series Foundational Models for Out-of-Domain Modality Forecasting Divij Gupta Anubhav Bhatti Surajsinh Parmar Chen Dan Yuwei Liu Bingjie Shen San Lee AI4TS 37 2 0 16 May 2024
LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting Stijn Verdenius Andrea Zerio Roy L.M. Wang BDL AI4TS AI4CE 34 2 0 16 May 2024
Forecasting with Hyper-Trees Alexander März Kashif Rasul 44 0 0 13 May 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 36 48 0 04 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Weijiao Zhang Jindong Han Zhao Xu Hang Ni Hao Liu Hui Xiong Hui Xiong AI4CE 77 15 0 30 Jan 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 15 10 0 19 Nov 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting Samuel Dooley Gurnoor Singh Khurana Chirag Mohapatra Siddartha Naidu Colin White AI4TS 86 59 0 03 Nov 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 26 123 0 08 Oct 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 114 102 0 16 Jun 2023
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi AI4TS 117 394 0 03 Feb 2022
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting Youngsuk Park Danielle C. Maddix Franccois-Xavier Aubet Kelvin K. Kan Jan Gasthaus Yuyang Wang UQCV AI4TS 94 37 0 12 Nov 2021
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking Soukayna Mouatadid Paulo Orenstein Genevieve Flaspohler M. Oprescu J. Cohen ... Sean Knight Maria Geogdzhayeva Sam Levang E. Fraenkel Lester W. Mackey AI4TS AI4Cl 103 11 0 21 Sep 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 243 4,469 0 23 Jan 2020