Skip to content

This page was last updated on 2025-01-13 06:05:39 UTC

Recommendations for the article A decoder-only foundation model for time-series forecasting

Abstract Title Authors Publication Date Journal/ Conference Citation count Highest h-index
visibility_off Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting Kashif Rasul, Arjun Ashok, Andrew Robert Williams, Arian Khorasani, George Adamopoulos, Rishika Bhagwatkar, Marin Bilovs, Hena Ghonia, N. Hassen, Anderson Schneider, Sahil Garg, Alexandre Drouin, Nicolas Chapados, Yuriy Nevmyvaka, I. Rish 2023-10-12 ArXiv 28 40
visibility_off Are Language Models Actually Useful for Time Series Forecasting? Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Tom Hartvigsen 2024-06-22 ArXiv 19 3
visibility_off Fine-Tuning a Time Series Foundation Model with Wasserstein Loss Andrei Chernov 2024-09-18 ArXiv 0 0
visibility_off Time-LLM: Time Series Forecasting by Reprogramming Large Language Models Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, X. Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen 2023-10-03 ArXiv 217 9
visibility_off In-context Time Series Predictor Jiecheng Lu, Yan Sun, Shihao Yang 2024-05-23 ArXiv 4 2
visibility_off FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Qingsong Wen, Christian S. Jensen, Bin Yang 2024-10-15 ArXiv 1 28
visibility_off A Mamba Foundation Model for Time Series Forecasting Haoyu Ma, Yushu Chen, Wenlai Zhao, Jinzhe Yang, Yingsheng Ji, Xinghua Xu, Xiaozhu Liu, Hao Jing, Shengzhuo Liu, Guangwen Yang 2024-11-05 ArXiv 0 8
visibility_off LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters Ching Chang, Wenjie Peng, Tien-Fu Chen 2023-08-16 ArXiv 25 3
Abstract Title Authors Publication Date Journal/Conference Citation count Highest h-index