Lucibello C[au] - Search Results

Year	Number of Results
2014	3
2015	1
2016	2
2017	1
2018	1
2020	1
2022	1

1

One-loop diagrams in the random Euclidean matching problem.

Lucibello C, Parisi G, Sicuro G. Lucibello C, et al. Phys Rev E. 2017 Jan;95(1-1):012302. doi: 10.1103/PhysRevE.95.012302. Epub 2017 Jan 3. Phys Rev E. 2017. PMID: 28208325

2

Loop expansion around the Bethe solution for the random magnetic field Ising ferromagnets at zero temperature.

Angelini MC, Lucibello C, Parisi G, Ricci-Tersenghi F, Rizzo T. Angelini MC, et al. Among authors: lucibello c. Proc Natl Acad Sci U S A. 2020 Feb 4;117(5):2268-2274. doi: 10.1073/pnas.1909872117. Epub 2020 Jan 17. Proc Natl Acad Sci U S A. 2020. PMID: 31953263 Free PMC article.

3

Role of Synaptic Stochasticity in Training Low-Precision Neural Networks.

Baldassi C, Gerace F, Kappen HJ, Lucibello C, Saglietti L, Tartaglione E, Zecchina R. Baldassi C, et al. Among authors: lucibello c. Phys Rev Lett. 2018 Jun 29;120(26):268103. doi: 10.1103/PhysRevLett.120.268103. Phys Rev Lett. 2018. PMID: 30004730

4

Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.

Baldassi C, Borgs C, Chayes JT, Ingrosso A, Lucibello C, Saglietti L, Zecchina R. Baldassi C, et al. Among authors: lucibello c. Proc Natl Acad Sci U S A. 2016 Nov 29;113(48):E7655-E7662. doi: 10.1073/pnas.1608103113. Epub 2016 Nov 15. Proc Natl Acad Sci U S A. 2016. PMID: 27856745 Free PMC article.

5

Scaling hypothesis for the Euclidean bipartite matching problem.

Caracciolo S, Lucibello C, Parisi G, Sicuro G. Caracciolo S, et al. Among authors: lucibello c. Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jul;90(1):012118. doi: 10.1103/PhysRevE.90.012118. Epub 2014 Jul 21. Phys Rev E Stat Nonlin Soft Matter Phys. 2014. PMID: 25122262

6

Unexpected Upper Critical Dimension for Spin Glass Models in a Field Predicted by the Loop Expansion around the Bethe Solution at Zero Temperature.

Angelini MC, Lucibello C, Parisi G, Perrupato G, Ricci-Tersenghi F, Rizzo T. Angelini MC, et al. Among authors: lucibello c. Phys Rev Lett. 2022 Feb 18;128(7):075702. doi: 10.1103/PhysRevLett.128.075702. Phys Rev Lett. 2022. PMID: 35244416

7

Learning may need only a few bits of synaptic precision.

Baldassi C, Gerace F, Lucibello C, Saglietti L, Zecchina R. Baldassi C, et al. Among authors: lucibello c. Phys Rev E. 2016 May;93(5):052313. doi: 10.1103/PhysRevE.93.052313. Epub 2016 May 27. Phys Rev E. 2016. PMID: 27300916

8

Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses.

Baldassi C, Ingrosso A, Lucibello C, Saglietti L, Zecchina R. Baldassi C, et al. Among authors: lucibello c. Phys Rev Lett. 2015 Sep 18;115(12):128101. doi: 10.1103/PhysRevLett.115.128101. Epub 2015 Sep 18. Phys Rev Lett. 2015. PMID: 26431018

9

One-dimensional disordered Ising models by replica and cavity methods.

Lucibello C, Morone F, Rizzo T. Lucibello C, et al. Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jul;90(1):012140. doi: 10.1103/PhysRevE.90.012140. Epub 2014 Jul 30. Phys Rev E Stat Nonlin Soft Matter Phys. 2014. PMID: 25122284

10

Finite-size corrections to disordered Ising models on random regular graphs.

Lucibello C, Morone F, Parisi G, Ricci-Tersenghi F, Rizzo T. Lucibello C, et al. Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jul;90(1):012146. doi: 10.1103/PhysRevE.90.012146. Epub 2014 Jul 31. Phys Rev E Stat Nonlin Soft Matter Phys. 2014. PMID: 25122290

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