no code implementations • 29 Sep 2019 • Matteo Negri, Davide Bergamini, Carlo Baldassi, Riccardo Zecchina, Christoph Feinauer
Generative processes in biology and other fields often produce data that can be regarded as resulting from a composition of basic features.
1 code implementation • ICLR 2021 • Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina
The properties of flat minima in the empirical risk landscape of neural networks have been debated for some time.
no code implementations • 3 Mar 2014 • Christoph Feinauer, Marcin J. Skwark, Andrea Pagnani, Erik Aurell
Correlation patterns in multiple sequence alignments of homologous proteins can be exploited to infer information on the three-dimensional structure of their members.
no code implementations • ICLR Workshop EBM 2021 • Christoph Feinauer, Carlo Lucibello
Pairwise models like the Ising model or the generalized Potts model have found many successful applications in fields like physics, biology, and economics.
no code implementations • 7 Feb 2022 • Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina
This lets us derive a meaningful notion of the flatness of minimizers and of the geodesic paths connecting them.
no code implementations • 11 Jul 2022 • Roman Hahn, Christoph Feinauer, Emanuele Borgonovo
We use the generalized total indices to produce heatmaps for post-hoc explanations, and we employ the mean dimension on the PCA-transformed features for cross comparisons of the artificial neural networks structures.
no code implementations • 23 Jan 2024 • Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta, Luca Saglietti
Recent works demonstrated the existence of a double-descent phenomenon for the generalization error of neural networks, where highly overparameterized models escape overfitting and achieve good test performance, at odds with the standard bias-variance trade-off described by statistical learning theory.
1 code implementation • 3 Mar 2017 • Simona Cocco, Christoph Feinauer, Matteo Figliuzzi, Remi Monasson, Martin Weigt
In the course of evolution, proteins undergo important changes in their amino acid sequences, while their three-dimensional folded structure and their biological function remain remarkably conserved.