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Scaling-laws for Large Time-series Models
v1v2 (latest)

Scaling-laws for Large Time-series Models

22 May 2024
Thomas D. P. Edwards
James Alvey
Justin Alsing
Nam H. Nguyen
Benjamin Dan Wandelt
    AI4TSAIFin
ArXiv (abs)PDFHTML

Papers citing "Scaling-laws for Large Time-series Models"

12 / 12 papers shown
Title
Relative-Based Scaling Law for Neural Language Models
Relative-Based Scaling Law for Neural Language Models
Baoqing Yue
Jinyuan Zhou
Zixi Wei
Jingtao Zhan
Qingyao Ai
Yiqun Liu
84
0
0
23 Oct 2025
Time Series Foundation Models: Benchmarking Challenges and Requirements
Time Series Foundation Models: Benchmarking Challenges and Requirements
Marcel Meyer
Sascha Kaltenpoth
Kevin Zalipski
Oliver Müller
AI4TS
140
1
0
15 Oct 2025
Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
Test-Time Efficient Pretrained Model Portfolios for Time Series Forecasting
Mert Kayaalp
Caner Turkmen
Oleksandr Shchur
Pedro Mercado
Abdul Fatir Ansari
Michael Bohlke-Schneider
Bernie Wang
AI4TS
80
0
0
07 Oct 2025
CauKer: classification time series foundation models can be pretrained on synthetic data only
CauKer: classification time series foundation models can be pretrained on synthetic data only
Shifeng Xie
Vasilii Feofanov
Marius Alonso
Ambroise Odonnat
Jianfeng Zhang
Themis Palpanas
I. Redko
AI4TS
164
4
0
04 Aug 2025
Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts
Advancing Event Forecasting through Massive Training of Large Language Models: Challenges, Solutions, and Broader Impacts
Sang-Woo Lee
Sohee Yang
Donghyun Kwak
Noah Y. Siegel
OffRLAI4TS
134
1
0
25 Jul 2025
EEG Foundation Models: A Critical Review of Current Progress and Future Directions
EEG Foundation Models: A Critical Review of Current Progress and Future Directions
Gayal Kuruppu
Neeraj Wagh
Y. Varatharajah
213
0
0
15 Jul 2025
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning
Jia Liu
Cheng Jinguo
Xia Fang
Zhenyuan Ma
Yuankai Wu
CLLAI4TSLRM
302
2
0
20 Apr 2025
Investigating Compositional Reasoning in Time Series Foundation Models
Investigating Compositional Reasoning in Time Series Foundation Models
Willa Potosnak
Cristian Challu
Mononito Goswami
Kin G. Olivares
Michał Wiliński
Nina Żukowska
Artur Dubrawski
ReLMAI4TSLRM
291
5
0
09 Feb 2025
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
Jingge Xiao
Yile Chen
Gao Cong
Wolfgang Nejdl
Simon Gottschalk
AI4TS
248
0
0
30 Oct 2024
Towards Neural Scaling Laws for Time Series Foundation Models
Towards Neural Scaling Laws for Time Series Foundation ModelsInternational Conference on Learning Representations (ICLR), 2024
Qingren Yao
Chao-Han Huck Yang
Renhe Jiang
Yuxuan Liang
Ming Jin
Shirui Pan
AI4TSAI4CE
320
21
0
16 Oct 2024
Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis
Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis
Wen Ye
Wei Yang
Defu Cao
Yizhou Zhang
Lumingyuan Tang
Jie Cai
Yan Liu
AI4TSBDLCoGe
328
1
0
05 Oct 2024
Scaling Law for Time Series Forecasting
Scaling Law for Time Series Forecasting
Jingzhe Shi
Qinwei Ma
Huan Ma
Lei Li
AI4TS
283
20
0
24 May 2024
1