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19912026
most citedGeometric deep learning: going beyond Euclidean data

3.7k citations

Showing 2019 · math.APShow all

14 papers · 2 filters

math.AP2019★ 23 cited

On the derivation of the homogeneous kinetic wave equation

Charles Collot, Pierre Germain

The nonlinear Schrödinger equation in the weakly nonlinear regime with random Gaussian fields as initial data is considered. The problem is set on the torus in any dimension greate…

math.AP2019★ 1 cited

On self-similar solutions to degenerate compressible Navier-Stokes equations

Pierre Germain, Tsukasa Iwabuchi, Tristan Léger

We study cavitating self-similar solutions to compressible Navier-Stokes equations with degenerate density-dependent viscosity. We prove both existence of expanders and non-existen…

math.AP2019★ 10 cited

Higher-order linearization and regularity in nonlinear homogenization

Scott Armstrong, Samuel J. Ferguson, Tuomo Kuusi

We prove large-scale regularity for solutions of nonlinear elliptic equations with random coefficients, thereby obtaining a version of the statement of Hilbert's 19th pr…

math.AP2019

Stationary flows for compressible viscous fluid in a perturbed half-space

Masahiro Suzuki, Katherine Zhiyuan Zhang

We consider the compressible Navier--Stokes equation in a perturbed half-space with an outflow boundary condition as well as the supersonic condition. For a half-space, it has been…

math.AP2019★ 70 cited

Stability threshold of the 2D Couette flow in Sobolev spaces

Nader Masmoudi, Weiren Zhao

We study the stability threshold of the 2D Couette flow in Sobolev spaces at high Reynolds number . We prove that if the initial vorticity satisfies $\|Ω_{in}-(-1)\|_{…

math.AP2019★ 3 cited

Enhanced dissipation for the 2D Couette flow in critical space

Nader Masmoudi, Weiren Zhao

We consider the 2D incompressible Navier-Stokes equations on , with initial vorticity that is close in to (the vorticity of…