output
20062026
most citedA Significant Population of Very Luminous Dust-Obscured Galaxies at Redshift z ~ 2

303 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2019 · cond-mat.dis-nnShow all

5 papers · 2 filters

cond-mat.dis-nn2019★ 16 cited

Clustering of solutions in the symmetric binary perceptron

Carlo Baldassi, Riccardo Della Vecchia, Carlo Lucibello +1

The geometrical features of the (non-convex) loss landscape of neural network models are crucial in ensuring successful optimization and, most importantly, the capability to genera…

cond-mat.dis-nn2019★ 60 cited

Properties of the geometry of solutions and capacity of multi-layer neural networks with Rectified Linear Units activations

Carlo Baldassi, Enrico M. Malatesta, Riccardo Zecchina

Rectified Linear Units (ReLU) have become the main model for the neural units in current deep learning systems. This choice has been originally suggested as a way to compensate for…

cond-mat.dis-nn2019★ 13 cited

New loop expansion for the Random Magnetic Field Ising Ferromagnets at zero temperature

Maria Chiara Angelini, Carlo Lucibello, Giorgio Parisi +2

We apply to the Random Field Ising Model at zero temperature (T= 0) the perturbative loop expansion around the Bethe solution. A comparison with the standard epsilon-expansion is m…

cond-mat.dis-nn2019★ 2 cited

Generalized Approximate Survey Propagation for High-Dimensional Estimation

Luca Saglietti, Yue M. Lu, Carlo Lucibello

In Generalized Linear Estimation (GLE) problems, we seek to estimate a signal that is observed through a linear transform followed by a component-wise, possibly nonlinear and noisy…

cond-mat.dis-nn2019★ 8 cited

Fluctuations in the random-link matching problem

Enrico M. Malatesta, Giorgio Parisi, Gabriele Sicuro

Using the replica approach and the cavity method, we study the fluctuations of the optimal cost in the random-link matching problem. By means of replica arguments, we derive the ex…