A Unified Scaling Law for Time Series Foundation Models
cs.LG
Submitted: 2026-10-04
Updated: 2026-10-04
Code: https://github.com/Fifthky/UniScale
Terminology
Sources
- Pretrained Time-Series Foundation Models for Financial Return Forecasting
- Chronos-2: From Univariate to Universal Forecasting
- Why Do Time Series Models Need Long Context Windows?
- Beyond Numerical Time Series: A Unified Benchmark for Multimodal Forecasting with Heterogeneous Context
- Position: Universal Time Series Foundation Models Rest on a Category Error
- Learning the Context of Errors: Black-Box Online Adaptation of Time Series Foundation Models
- Kairos: Toward Adaptive and Parameter-Efficient Time Series Foundation Models
- Diversified Scaling Inference in Time Series Foundation Models
- How Good Can Linear Models Be for Time-Series Forecasting?
- Scaling Laws for Neural Language Models
- Toto 2.0: Time Series Forecasting Enters the Scaling Era
- Foundation Models for Time Series: A Survey
- Moirai 2.0: When Less Is More for Time Series Forecasting
- Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling
- Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling
- t 0: A Time-Series Foundation Model for Forecasting with Context
- Rethinking Evaluation in the Era of Time Series Foundation Models: (Un)known Information Leakage Challenges
- TiRex-2: Generalizing TiRex to Multivariate Data and Streaming
- Re(Visiting) Time Series Foundation Models in Finance
- fev-bench: A Realistic Benchmark for Time Series Forecasting
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