Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification
Paper • 2502.15637 • Published • 3
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Mantis reproduction bundle
Reproduction of Mantis: Lightweight Foundation Model for Time Series Classification (arXiv:2502.15637, OpenReview gbJMAjXLZ4) for the HF "Reproducing ICML 2026" challenge.
Logbook: https://huggingface.co/spaces/ancs21/repro-mantis Paper code: https://github.com/vfeofanov/mantis · Weights: https://huggingface.co/paris-noah/Mantis-8M
param_count.py— Claim 1: Mantis-8M has 8,103,936 params (8.10M), matching "8M lightweight". Verified.zeroshot_probe.py— Claim 2: frozen embeddings + logistic regression on 4 UCR datasets, mean accuracy 0.938 (well above chance). Frozen zero-shot features are useful. Verified.
Install: pip install mantis-tsfm aeon scikit-learn torch. Inference-only, CPU, minutes.
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