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cs.LG2024
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients
Sebastian J. Wetzel, Zakaria Patel
It has been demonstrated that artificial neural networks like autoencoders or Siamese networks encode meaningful concepts in their latent spaces. However, there does not exist a co…
cs.LG2024
Closed-Form Interpretation of Neural Network Classifiers with Symbolic Gradients
Sebastian Johann Wetzel
I introduce a unified framework for finding a closed-form interpretation of any single neuron in an artificial neural network. Using this framework I demonstrate how to interpret n…