When, Not How Much: Evaluating Time-Series Foundation Models on Sparse Events
cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation
- Chronos-2: From Univariate to Universal Forecasting
- Aionoscope: Debugging Latent-State Accessibility in Time-Series Representations
- Accuracy Is Not Service: A Decision-Aware Benchmark for Intermittent-Demand Forecasting
- Toto 2.0: Time Series Forecasting Enters the Scaling Era
- Moirai 2.0: When Less Is More for Time Series Forecasting
- SPADE-S: A Sparsity-Robust Foundational Forecaster
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