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Found 2 papers, 1 papers with code
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles
These innovations lead to more interpretable models of neural population activity that train well and perform better even on mixtures of complex latent manifolds.
Score-Based Generative Classifiers
In this work, we investigate score-based generative models as classifiers for natural images.
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