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19912026
most citedGeometric deep learning: going beyond Euclidean data

3.7k citations

Showing 2018 · math.APShow all

11 papers · 2 filters

math.AP2018★ 1 cited

Harmonic maps in connection of phase transitions with higher dimensional potential wells

Fanghua Lin, Changyou Wang

This is in the sequel of authors' paper \cite{LPW} in which we had set up a program to verify rigorously some formal statements associated with the multiple component phase transit…

math.AP2018★ 14 cited

Equivalence of the ellipticity conditions for geometric variational problems

Antonio De Rosa, Sławomir Kolasiński

We exploit the so called atomic condition, recently defined by De Philippis, De Rosa, and Ghiraldin in [Comm. Pure Appl. Math.] and proved to be necessary and sufficient for the va…

math.AP2018★ 17 cited

Vorticity measures and the inviscid limit

Peter Constantin, Milton Lopes Filho, Helena Nussenzveig Lopes +1

We consider a sequence of Leray-Hopf weak solutions of the 2D Navier-Stokes equations on a bounded domain, in the vanishing viscosity limit. We provide sufficient conditions on the…

math.AP2018★ 2 cited

On the boundary behavior of mass-minimizing integral currents

Camillo De Lellis, Guido De Philippis, Jonas Hirsch +1

Let be a smooth Riemannian manifold, a smooth closed oriented submanifold of codimension higher than and an integral area-minimizing current in which b…

math.AP2018★ 4 cited

Homogenization, linearization and large-scale regularity for nonlinear elliptic equations

Scott Armstrong, Sam Ferguson, Tuomo Kuusi

We consider nonlinear, uniformly elliptic equations with random, highly oscillating coefficients satisfying a finite range of dependence. We prove that homogenization and lineariza…

math.AP2018★ 3 cited

On the global behavior of weak null quasilinear wave equations

Yu Deng, Fabio Pusateri

We consider a class of quasilinear wave equations in space-time dimensions that satisfy the "weak null condition" as defined by Lindblad and Rodnianski \cite{LR1}, and study…