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Christoph Feinauer
Christoph Feinauer
Isomorphic Labs
Verified email at isomorphiclabs.com
Title
Cited by
Cited by
Year
Inverse statistical physics of protein sequences: a key issues review
S Cocco, C Feinauer, M Figliuzzi, R Monasson, M Weigt
Reports on Progress in Physics 81 (3), 032601, 2018
2492018
Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners
C Baldassi, M Zamparo, C Feinauer, A Procaccini, R Zecchina, M Weigt, ...
PloS one 9 (3), e92721, 2014
1752014
Mutator genomes decay, despite sustained fitness gains, in a long-term experiment with bacteria
A Couce, LV Caudwell, C Feinauer, T Hindré, JP Feugeas, M Weigt, ...
Proceedings of the National Academy of Sciences 114 (43), E9026-E9035, 2017
1092017
Improving contact prediction along three dimensions
C Feinauer, MJ Skwark, A Pagnani, E Aurell
PLOS Comp Biol 10 (10), e1003847, 2014
882014
Inter-protein sequence co-evolution predicts known physical interactions in bacterial ribosomes and the Trp operon
C Feinauer, H Szurmant, M Weigt, A Pagnani
PloS one 11 (2), e0149166, 2016
672016
Entropic gradient descent algorithms and wide flat minima
F Pittorino, C Lucibello, C Feinauer, G Perugini, C Baldassi, ...
Journal of Statistical Mechanics: Theory and Experiment 2021 (12), 124015, 2021
312021
Architecture of a mammalian glomerular domain revealed by novel volume electroporation using nanoengineered microelectrodes
D Schwarz, M Kollo, C Bosch, C Feinauer, I Whiteley, TW Margrie, ...
Nature communications 9 (1), 183, 2018
232018
Deep networks on toroids: removing symmetries reveals the structure of flat regions in the landscape geometry
F Pittorino, A Ferraro, G Perugini, C Feinauer, C Baldassi, R Zecchina
International Conference on Machine Learning, 17759-17781, 2022
222022
Zinc finger proteins and the 3D organization of chromosomes
CJ Feinauer, A Hofmann, S Goldt, L Liu, G Mate, DW Heermann
Advances in protein chemistry and structural biology 90, 67-117, 2013
192013
Context-aware prediction of pathogenicity of missense mutations involved in human disease
C Feinauer, M Weigt
arXiv preprint arXiv:1701.07246, 2017
162017
TULIP: A transformer-based unsupervised language model for interacting peptides and T cell receptors that generalizes to unseen epitopes
B Meynard-Piganeau, C Feinauer, M Weigt, AM Walczak, T Mora
Proceedings of the National Academy of Sciences 121 (24), e2316401121, 2024
72024
The Mean Dimension of Neural Networks--What causes the interaction effects?
R Hahn, C Feinauer, E Borgonovo
arXiv preprint arXiv:2207.04890, 2022
32022
Interpretable pairwise distillations for generative protein sequence models
C Feinauer, B Meynard-Piganeau, C Lucibello
PLOS Computational Biology 18 (6), e1010219, 2022
32022
Generating interacting protein sequences using domain-to-domain translation
B Meynard-Piganeau, C Fabbri, M Weigt, A Pagnani, C Feinauer
Bioinformatics 39 (7), btad401, 2023
22023
Reconstruction of pairwise interactions using energy-based models
C Feinauer, C Lucibello
Mathematical and Scientific Machine Learning, 291-313, 2022
12022
The twin peaks of learning neural networks
E Demyanenko, C Feinauer, EM Malatesta, L Saglietti
Machine Learning: Science and Technology, 2024
2024
Mean Dimension of Generative Models for Protein Sequences
C Feinauer, E Borgonovo
bioRxiv, 2022.12. 12.520028, 2022
2022
THE MEAN DIMENSION OF NEURAL NETWORKS-WHAT
R Hahn, C Feinauer, E Borgonovo
stat 1050, 11, 2022
2022
Reconstruction of Pairwise Interactions using Energy-Based Models
C Lucibello, C Feinauer
Energy Based Models Workshop-ICLR 2021, 2021
2021
Natural representation of composite data with replicated autoencoders
M Negri, D Bergamini, C Baldassi, R Zecchina, C Feinauer
arXiv preprint arXiv:1909.13327, 2019
2019
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