Pushing the Limits of Pre-training for Time Series Forecasting in the
CloudOps Domain

Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain

8 October 2023

Papers citing "Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain"

14 / 14 papers shown

Title
TripCast: Pre-training of Masked 2D Transformers for Trip Time Series Forecasting Yuhua Liao Zetian Wang Peng Wei Qiangqiang Nie Zhenhua Zhang AI4TS 11 0 0 24 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 40 6 0 16 Oct 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 34 24 0 24 Sep 2024
Scaling-laws for Large Time-series Models Thomas D. P. Edwards James Alvey Justin Alsing Nam H. Nguyen Benjamin Dan Wandelt AI4TS AIFin 21 7 0 22 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 30 1 0 09 Apr 2024
Position: What Can Large Language Models Tell Us about Time Series Analysis Ming Jin Yifan Zhang Wei Chen Kexin Zhang Yuxuan Liang Bin Yang Jindong Wang Shirui Pan Qingsong Wen AI4TS 29 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 107 152 0 04 Feb 2024
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models Yong Liu Guo Qin Xiangdong Huang Jianmin Wang Mingsheng Long AI4TS 21 21 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 21 47 0 04 Feb 2024
Generative Agents: Interactive Simulacra of Human Behavior J. Park Joseph C. O'Brien Carrie J. Cai Meredith Ringel Morris Percy Liang Michael S. Bernstein LM&Ro AI4CE 212 1,701 0 07 Apr 2023
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices Hansika Hewamalage Klaus Ackermann Christoph Bergmeir AI4TS 57 86 0 21 Mar 2022
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 108 391 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 84 37 0 12 Nov 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 161 3,799 0 14 Dec 2020