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Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance
Classification models are expected to perform equally well for different classes, yet in practice, there are often large gaps in their performance.
Comparing high-dimensional neural recordings by aligning their low-dimensional latent representations
One major challenge that we face in modern neuroscience is that of correspondence, e. g. we do not record the exact same neurons at the exact same times.
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