most citedSubgrid-scale parametrization of unresolved scales in forced Burgers equation using Generative Adversarial Networks (GAN)

10 citations · 10 across the 2 of their papers we have counts for

collaborators

2 papers

math.ST2026

Explicit confidence bands and intervals for distribution functions and their derivatives via random Weierstrass-type operators

José A. Adell, J. T. Alcalá, C. Sangüesa

Classical kernel estimators of second order are interpreted in terms of random Weierstrass-type operators, particularly random Steklov operators. This leads us to obtain explicit n…

physics.comp-ph2020★ 10 cited

Subgrid-scale parametrization of unresolved scales in forced Burgers equation using Generative Adversarial Networks (GAN)

Jeric Alcala, Ilya Timofeyev

Stochastic subgrid-scale parametrizations aim to incorporate effects of unresolved processes in an effective model by sampling from a distribution usually described in terms of res…