Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Feinauer, Christoph"'
We present InvMSAFold, a method for generating a diverse set of protein sequences that fold into a single structure. For a given structure, InvMSAFold defines a probability distribution over the space of sequences, capturing the amino acid covariance
Externí odkaz:
http://arxiv.org/abs/2406.11975
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-varianc
Externí odkaz:
http://arxiv.org/abs/2401.12610
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 of research, this work proposes an estimation procedure that allows t
Externí odkaz:
http://arxiv.org/abs/2207.04890
Autor:
Pittorino, Fabrizio, Ferraro, Antonio, Perugini, Gabriele, Feinauer, Christoph, Baldassi, Carlo, Zecchina, Riccardo
We systematize the approach to the investigation of deep neural network landscapes by basing it on the geometry of the space of implemented functions rather than the space of parameters. Grouping classifiers into equivalence classes, we develop a sta
Externí odkaz:
http://arxiv.org/abs/2202.03038
Autor:
Feinauer, Christoph, Lucibello, Carlo
Pairwise models like the Ising model or the generalized Potts model have found many successful applications in fields like physics, biology, and economics. Closely connected is the problem of inverse statistical mechanics, where the goal is to infer
Externí odkaz:
http://arxiv.org/abs/2012.06625
Autor:
Pittorino, Fabrizio, Lucibello, Carlo, Feinauer, Christoph, Perugini, Gabriele, Baldassi, Carlo, Demyanenko, Elizaveta, Zecchina, Riccardo
The properties of flat minima in the empirical risk landscape of neural networks have been debated for some time. Increasing evidence suggests they possess better generalization capabilities with respect to sharp ones. First, we discuss Gaussian mixt
Externí odkaz:
http://arxiv.org/abs/2006.07897
Generative processes in biology and other fields often produce data that can be regarded as resulting from a composition of basic features. Here we present an unsupervised method based on autoencoders for inferring these basic features of data. The m
Externí odkaz:
http://arxiv.org/abs/1909.13327
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Rep. Prog. Phys. 81, 032601 (2018)
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. Thanks to modern sequencing techniques, sequence d
Externí odkaz:
http://arxiv.org/abs/1703.01222
Autor:
Feinauer, Christoph, Weigt, Martin
Amino-acid substitutions are implicated in a wide range of human diseases, many of which are lethal. Distinguishing such mutations from polymorphisms without significant effect on human health is a necessary step in understanding the etiology of such
Externí odkaz:
http://arxiv.org/abs/1701.07246