In-Context Learning
Evaluation complete
ChorusTIC
A support-conditioned foundation model for training-free univariate and multivariate time series classification.
Method overview
A support-conditioned foundation model for training-free univariate and multivariate time series classification.
Evaluated configurations
Native in-context inference
Classifier heads are grouped on this page under their shared pretrained model. They remain separate leaderboard entries because they represent different experimental configurations.
- Organization
- GDUT · Huawei Noah’s Ark Lab · Université Paris Cité · MBZUAI · Shantou University
- Parameters
- Not reported by authors
- Checkpoint used
- ChorusTIC.ckpt (step 6000)
- Input Type
- Univariate + multivariate time series
- Inference
- Training-free in-context classification
Reading this model's evaluation
The method catalog describes the pretrained model; leaderboard eligibility depends on the actual coverage of each experimental configuration. Catalog inclusion does not imply complete coverage of all 198 datasets.