research

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Zoobot v2

New foundation models for galaxy morphology

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Dunlap Fellowship Plans

My Dunlap Fellowship plan for detailed morphology in Euclid and Rubin

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Towards Galaxy Foundation Models

Adaptable models through broad pretraining and contrastive learning

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Practical Galaxy Morphology Tools

Using deep learning representations to solve new tasks

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Scaling Galaxy Zoo with Bayesian Neural Networks

Applying active learning to crowdsource labels

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