A decoder-only foundation model for time-series forecasting

14 October 2023

Papers citing "A decoder-only foundation model for time-series forecasting"

32 / 132 papers shown

Title
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting Jianrong Ding Zhanyu Liu Guanjie Zheng Haiming Jin Linghe Kong AI4TS DD 42 3 0 04 Jun 2024
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging Leon Götz Marcel Kollovieh Stephan Günnemann Leo Schwinn 32 2 0 28 May 2024
Are Self-Attentions Effective for Time Series Forecasting? Dongbin Kim Jinseong Park Jaewook Lee Hoki Kim AI4TS 45 4 0 27 May 2024
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning Yihang Wang Yuying Qiu Peng Chen Kai Zhao Yang Shu Zhongwen Rao Lujia Pan Bin Yang Chenjuan Guo AI4TS AI4CE 36 10 0 24 May 2024
Scaling Law for Time Series Forecasting Jingzhe Shi Qinwei Ma Huan Ma Lei Li AI4TS 31 8 0 24 May 2024
Scaling-laws for Large Time-series Models Thomas D. P. Edwards James Alvey Justin Alsing Nam H. Nguyen Benjamin Dan Wandelt AI4TS AIFin 41 7 0 22 May 2024
Modeling Real-Time Interactive Conversations as Timed Diarized Transcripts Garrett Tanzer Gustaf Ahdritz Luke Melas-Kyriazi 26 1 0 21 May 2024
Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities Hao Zhou Chengming Hu Ye Yuan Yufei Cui Yili Jin ... Di Wu Xue Liu Charlie Zhang Xianbin Wang Jiangchuan Liu 37 62 0 17 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 36 2 0 16 May 2024
Forecasting with Hyper-Trees Alexander März Kashif Rasul 44 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 45 1 0 09 Apr 2024
Towards Foundation Time Series Model: To Synthesize Or Not To Synthesize? Kseniia Kuvshinova Olga Tsymboi Alina Kostromina Dmitry Simakov Elizaveta Kovtun AI4TS 29 2 0 04 Mar 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 43 17 0 29 Feb 2024
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting Young-Jin Park Donghyun Kim Frédéric Odermatt Juho Lee KyungHyun Kim AI4TS 44 3 0 29 Feb 2024
Approaching Human-Level Forecasting with Language Models Danny Halawi Fred Zhang Chen Yueh-Han Jacob Steinhardt 50 29 0 28 Feb 2024
Loss Shaping Constraints for Long-Term Time Series Forecasting Ignacio Hounie Javier Porras-Valenzuela Alejandro Ribeiro AI4TS 27 0 0 14 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 29 5 0 12 Feb 2024
MOMENT: A Family of Open Time-series Foundation Models Mononito Goswami Konrad Szafer Arjun Choudhry Yifu Cai Shuo Li Artur Dubrawski AIFin AI4TS 71 118 0 06 Feb 2024
Position: What Can Large Language Models Tell Us about Time Series Analysis Ming Jin Yifan Zhang Wei Chen Kexin Zhang Keli Zhang Bin Yang Jindong Wang Shirui Pan Qingsong Wen AI4TS 34 16 0 05 Feb 2024
Unified Training of Universal Time Series Forecasting Transformers Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo AI4TS 120 171 0 04 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 42 52 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 79 15 0 30 Jan 2024
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Vijay Ekambaram Arindam Jati Pankaj Dayama Sumanta Mukherjee Nam H. Nguyen Wesley M. Gifford Chandra Reddy Jayant Kalagnanam AI4TS VLM 38 21 0 08 Jan 2024
GIVT: Generative Infinite-Vocabulary Transformers Michael Tschannen Cian Eastwood Fabian Mentzer 31 34 0 04 Dec 2023
ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation Tong Nie Guoyang Qin Wei Ma Yuewen Mei Jiangming Sun AI4TS AI4CE 29 25 0 04 Dec 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 35 123 0 08 Oct 2023
Towards Causal Foundation Model: on Duality between Causal Inference and Attention Jiaqi Zhang Joel Jennings Agrin Hilmkil Nick Pawlowski Cheng Zhang Chao Ma CML 56 13 0 01 Oct 2023
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series Alexander Nikitin Letizia Iannucci Samuel Kaski TTA SyDa AI4TS 39 11 0 19 May 2023
Feature Importance: A Closer Look at Shapley Values and LOCO I. Verdinelli Larry A. Wasserman FAtt TDI 43 22 0 10 Mar 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 447 8,699 0 28 Jan 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 171 3,913 0 14 Dec 2020
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 264 4,532 0 23 Jan 2020