Improving Contact Prediction along Three Dimensions. - Christoph Feinauer; Marcin J. Skwark; Andrea Pagnani; Erik Aurell (PLoS Comput. Biol., 2014)

Natural representation of composite data with replicated autoencoders. - Matteo Negri; Davide Bergamini; Carlo Baldassi; Riccardo Zecchina; Christoph Feinauer (CoRR, 2019)

Entropic gradient descent algorithms and wide flat minima. - Fabrizio Pittorino; Carlo Lucibello; Christoph Feinauer; Enrico M. Malatesta; Gabriele Perugini; Carlo Baldassi; Matteo Negri; Elizaveta Demyanenko; Riccardo Zecchina (CoRR, 2020)

Entropic gradient descent algorithms and wide flat minima. - Fabrizio Pittorino; Carlo Lucibello; Christoph Feinauer; Gabriele Perugini; Carlo Baldassi; Elizaveta Demyanenko; Riccardo Zecchina (ICLR, 2021)

Reconstruction of Pairwise Interactions using Energy-Based Models. - Christoph Feinauer; Carlo Lucibello (MSML, 2021)

Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. - Fabrizio Pittorino; Antonio Ferraro; Gabriele Perugini; Christoph Feinauer; Carlo Baldassi; Riccardo Zecchina (ICML, 2022)

The Mean Dimension of Neural Networks - What causes the interaction effects? - Roman Hahn; Christoph Feinauer; Emanuele Borgonovo (CoRR, 2022)

Interpretable pairwise distillations for generative protein sequence models. - Christoph Feinauer; Barthélémy Meynard-Piganeau; Carlo Lucibello (PLoS Comput. Biol., 2022)

The twin peaks of learning neural networks. - Elizaveta Demyanenko; Christoph Feinauer; Enrico M. Malatesta; Luca Saglietti (CoRR, 2024)

Fast Uncovering of Protein Sequence Diversity from Structure. - Luca Alessandro Silva; Barthélémy Meynard-Piganeau; Carlo Lucibello; Christoph Feinauer (ICLR, 2025)