UniverseTBD/pu-embeddings
pu-embeddings Foundation-model image embeddings for astronomy surveys. Each config is a set of embeddings produced by running one pre-trained model over one survey's imagery. Representation alignment between models is measured via the Mutual k-Nearest Neighbour (MKNN) metric. HSC (Hyper Suprime-Cam) serves as the optical baseline; four configs therefore store paired embeddings (HSC + target survey, row-aligned) for direct cross-modal comparison. Layout… See the full description on the dataset page: https://huggingface.co/datasets/UniverseTBD/pu-embeddings.
| Author / organization | UniverseTBD |
|---|---|
| Downloads | 4.6K (as reported by Hugging Face) |
| Likes | 2 |
| Created | 31 March 2026 |
| Last updated at source | 12 May 2026 |
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- 16 Oct 2026 Description: pu-embeddings Foundation-model image embeddings for astronomy surveys. Each config is a set of embeddings produced by running one pre-trained model over one survey's imagery. Representation alignment between models is measured via the Mutua → pu-embeddings Foundation-model image embeddings for astronomy surveys. Each config is a set of embeddings produced by running one pre-trained model over one survey's imagery. Representation alignment between models is measured via the Mutua
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