Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced
Zero/Few-Shot Forecasting of Multivariate Time Series

Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

8 January 2024

Vijay Ekambaram

Sumanta Mukherjee

Wesley M. Gifford

Jayant Kalagnanam

Papers citing "Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series"

15 / 15 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
Foundation Models for Time Series: A Survey Siva Rama Krishna Kottapalli Karthik Hubli Sandeep Chandrashekhara Garima Jain Sunayana Hubli Gayathri Botla Ramesh Doddaiah AI4TS AI4CE 27 0 0 05 Apr 2025
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph Shule Hao Junpeng Bao Chuncheng Lu AI4TS KELM 46 0 0 10 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 52 1 0 06 Mar 2025
SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series Forecasting Ting Huang Xu-Yang Chen Han-Jia Ye AI4TS 45 1 0 04 Mar 2025
Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting Xiaobin Hong J. Zhang Wenzhong Li Sanglu Lu J. Li AI4TS 68 0 0 03 Mar 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 55 0 0 18 Feb 2025
Forecasting with Hyper-Trees Alexander März Kashif Rasul 42 0 0 13 May 2024
The impact of data set similarity and diversity on transfer learning success in time series forecasting Claudia Ehrig Benedikt Sonnleitner Ursula Neumann Catherine Cleophas Germain Forestier AI4TS 35 1 0 09 Apr 2024
MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski AIFin AI4TS 71 109 0 06 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 109 161 0 04 Feb 2024
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 111 394 0 03 Feb 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
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 3,876 0 14 Dec 2020