15 citations · 18 across the 4 of their papers we have counts for
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cond-mat.dis-nn2022★ 3 cited
Boundary between noise and information applied to filtering neural network weight matrices
Max Staats, Matthias Thamm, Bernd Rosenow
Deep neural networks have been successfully applied to a broad range of problems where overparametrization yields weight matrices which are partially random. A comparison of weight…
cond-mat.dis-nn2022★ 15 cited
Random matrix analysis of deep neural network weight matrices
Matthias Thamm, Max Staats, Bernd Rosenow
Neural networks have been used successfully in a variety of fields, which has led to a great deal of interest in developing a theoretical understanding of how they store the inform…