158 citations · 255 across the 3 of their papers we have counts for
4 papers
The twin peaks of learning neural networks
Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta +1
Recent works demonstrated the existence of a double-descent phenomenon for the generalization error of neural networks, where highly overparameterized models escape overfitting and…
The Mean Dimension of Neural Networks -- What causes the interaction effects?
Roman Hahn, Christoph Feinauer, Emanuele Borgonovo
Owen and Hoyt recently showed that the effective dimension offers key structural information about the input-output mapping underlying an artificial neural network. Along this line…
Fast and accurate multivariate Gaussian modeling of protein families: Predicting residue contacts and protein-interaction partners
Carlo Baldassi, Marco Zamparo, Christoph Feinauer +4
In the course of evolution, proteins show a remarkable conservation of their three-dimensional structure and their biological function, leading to strong evolutionary constraints o…
Improving contact prediction along three dimensions
Christoph Feinauer, Marcin J. Skwark, Andrea Pagnani +1
Correlation patterns in multiple sequence alignments of homologous proteins can be exploited to infer information on the three-dimensional structure of their members. The typical p…