Dario Trevisan

Orcid: 0000-0002-4563-5638

According to our database1, Dario Trevisan authored at least 13 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Beyond NNGP: Large Deviations and Feature Learning in Bayesian Neural Networks.
CoRR, February, 2026

2025
Quantitative convergence of trained single layer neural networks to Gaussian processes.
CoRR, September, 2025

Student-t processes as infinite-width limits of posterior Bayesian neural networks.
CoRR, February, 2025

2024
Quantitative Gaussian approximation of randomly initialized deep neural networks.
Mach. Learn., September, 2024

On minimum spanning trees for random Euclidean bipartite graphs.
Comb. Probab. Comput., 2024

2021
The Quantum Wasserstein Distance of Order 1.
IEEE Trans. Inf. Theory, 2021

2018
A rough calculus approach to level sets in the Heisenberg group.
J. Lond. Math. Soc., 2018

Gaussian optimizers for entropic inequalities in quantum information.
CoRR, 2018

2017
Gaussian States Minimize the Output Entropy of the One-Mode Quantum Attenuator.
IEEE Trans. Inf. Theory, 2017

Functional Cramér-Rao bounds and Stein estimators in Sobolev spaces, for Brownian motion and Cox processes.
J. Multivar. Anal., 2017

The Entropy Power Inequality with quantum memory.
CoRR, 2017

2016
Passive States Optimize the Output of Bosonic Gaussian Quantum Channels.
IEEE Trans. Inf. Theory, 2016

Gaussian states minimize the output entropy of one-mode quantum Gaussian channels.
CoRR, 2016


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