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Found 3 papers, 1 papers with code
Free Probability for predicting the performance of feed-forward fully connected neural networks
We present a reliable and very fast method for computing the associated spectral densities, for given architecture and initialization.
Geodesics in fibered latent spaces: A geometric approach to learning correspondences between conditions
This work introduces a geometric framework and a novel network architecture for creating correspondences between samples of different conditions.
Holographic Neural Architectures
Representation learning is at the heart of what makes deep learning effective.
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