Author

Daniel Greenidge

Princeton University

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Neuroscience· 1

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Approach:variational autoencoder· 1

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Adam S. CharlesiD· 1 shared Gabriel BarelloiD· 1 shared Jonathan W. PillowiD· 1 shared Victor GeadahiD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperNeuroscience

Adam S. CharlesORCID

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1 paper

Recent·Most cited

Sparse-Coding Variational Auto-Encoders

Victor Geadah, Gabriel Barello, Daniel Greenidge, Adam S. Charles, Jonathan W. Pillow

This paper introduces a sparse-coding variational auto-encoder (SVAE) that improves upon sparse coding by using a probabilistic model with a deep neural network, achieving better performance on natural image data.

Neural Computation · Oct 9, 2024Peer-reviewedNeuroscience