most citedFrobenius-Type Norms and Inner Products of Matrices and Linear Maps with Applications to Neural Network Training

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cs.LG2023★ 1 cited

Frobenius-Type Norms and Inner Products of Matrices and Linear Maps with Applications to Neural Network Training

Roland Herzog, Frederik Köhne, Leonie Kreis +1

The Frobenius norm is a frequent choice of norm for matrices. In particular, the underlying Frobenius inner product is typically used to evaluate the gradient of an objective with…

cs.LG2023

SensLI: Sensitivity-Based Layer Insertion for Neural Networks

Leonie Kreis, Evelyn Herberg, Frederik Köhne +2

The training of neural networks requires tedious and often manual tuning of the network architecture. We propose a systematic approach to inserting new layers during the training p…