Dario Trevisan

According to our database, Dario Trevisan authored at least 12 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Quantitative convergence of trained single layer neural networks to Gaussian processes.

Eloy Mosig, Andrea Agazzi, Dario Trevisan

CoRR, September, 2025

Student-t processes as infinite-width limits of posterior Bayesian neural networks.

Francesco Caporali, Stefano Favaro, Dario Trevisan

CoRR, February, 2025

2024

Quantitative Gaussian approximation of randomly initialized deep neural networks.

Andrea Basteri, Dario Trevisan

Mach. Learn., September, 2024

On minimum spanning trees for random Euclidean bipartite graphs.

Mario Correddu, Dario Trevisan

Comb. Probab. Comput., 2024

2021

The Quantum Wasserstein Distance of Order 1.

Giacomo De Palma, Milad Marvian, Dario Trevisan, Seth Lloyd

IEEE Trans. Inf. Theory, 2021

2018

A rough calculus approach to level sets in the Heisenberg group.

Valentino Magnani, Eugene Stepanov, Dario Trevisan

J. Lond. Math. Soc., 2018

Gaussian optimizers for entropic inequalities in quantum information.

Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti, Luigi Ambrosio

CoRR, 2018

2017

Gaussian States Minimize the Output Entropy of the One-Mode Quantum Attenuator.

Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti

IEEE Trans. Inf. Theory, 2017

Functional Cramér-Rao bounds and Stein estimators in Sobolev spaces, for Brownian motion and Cox processes.

Eni Musta, Maurizio Pratelli, Dario Trevisan

J. Multivar. Anal., 2017

The Entropy Power Inequality with quantum memory.

Giacomo De Palma, Dario Trevisan

CoRR, 2017

2016

Passive States Optimize the Output of Bosonic Gaussian Quantum Channels.

Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti

IEEE Trans. Inf. Theory, 2016

Gaussian states minimize the output entropy of one-mode quantum Gaussian channels.

Giacomo De Palma, Dario Trevisan, Vittorio Giovannetti

CoRR, 2016