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Nicoḷ Ruggeri
Nicoḷ Ruggeri
Max Planck Institute for Intelligent Systems - ETH Zurich - Epsilico
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
Fast rates for noisy interpolation require rethinking the effect of inductive bias
K Donhauser, N Ruggeri, S Stojanovic, F Yang
International Conference on Machine Learning, 5397-5428, 2022
222022
Community detection in large hypergraphs
N Ruggeri, M Contisciani, F Battiston, C De Bacco
Science Advances 9 (28), eadg9159, 2023
18*2023
Hypergraphx: a library for higher-order network analysis
QF Lotito, M Contisciani, C De Bacco, L Di Gaetano, L Gallo, A Montresor, ...
Journal of Complex Networks 11 (3), cnad019, 2023
142023
Framework to generate hypergraphs with community structure
N Ruggeri, F Battiston, C De Bacco
Physical Review E 109 (3), 034309, 2024
12*2024
Provable concept learning for interpretable predictions using variational inference
A Taeb, N Ruggeri, C Schnuck, F Yang
arXiv preprint arXiv:2204.00492, 2022
7*2022
Sampling on networks: estimating eigenvector centrality on incomplete networks
N Ruggeri, CD Bacco
International Conference on Complex Networks and Their Applications, 90-101, 2019
72019
Sampling on networks: estimating spectral centrality measures and their impact in evaluating other relevant network measures
N Ruggeri, C De Bacco
Applied Network Science 5, 1-29, 2020
32020
Hypergraphs with node attributes: structure and inference
A Badalyan, N Ruggeri, C De Bacco
arXiv preprint arXiv:2311.03857, 2023
22023
Message-Passing on Hypergraphs: Detectability, Phase Transitions and Higher-Order Information
N Ruggeri, A Lonardi, C De Bacco
arXiv preprint arXiv:2312.00708, 2023
2023
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Articles 1–9