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19912026
most citedGeometric deep learning: going beyond Euclidean data

3.7k citations

Showing 2018 · math.NAShow all

13 papers · 2 filters

math.NA2018

Zernike Polynomials: Evaluation, Quadrature, and Interpolation

Philip Greengard, Kirill Serkh

Zernike polynomials are a basis of orthogonal polynomials on the unit disk that are a natural basis for representing smooth functions. They arise in a number of applications includ…

math.NA2018★ 2 cited

On the accurate evaluation of unsteady Stokes layer potentials in moving two-dimensional geometries

Leslie Greengard, Shidong Jiang, Jun Wang

Two fundamental difficulties are encountered in the numerical evaluation of time-dependent layer potentials. One is the quadratic cost of history dependence, which has been success…

math.NA2018★ 5 cited

Seismic Inversion and the Data Normalization for Optimal Transport

Björn Engquist, Yunan Yang

Full waveform inversion (FWI) has recently become a favorite technique for the inverse problem of finding properties in the earth from measurements of vibrations of seismic waves o…

math.NA2018★ 5 cited

A new mixed potential representation for the equations of unsteady, incompressible flow

Leslie Greengard, Shidong Jiang

We present a new integral representation for the unsteady, incompressible Stokes or Navier-Stokes equations, based on a linear combination of heat and harmonic potentials. For velo…

math.NA2018★ 19 cited

A comparative study of structural similarity and regularization for joint inverse problems governed by PDEs

Benjamin Crestel, Georg Stadler, Omar Ghattas

Joint inversion refers to the simultaneous inference of multiple parameter fields from observations of systems governed by single or multiple forward models. In many cases these pa…

math.NA2018★ 4 cited

Seismic Imaging and Optimal Transport

Björn Engquist, Yunan Yang

Seismology has been an active science for a long time. It changed character about 50 years ago when the earth's vibrations could be measured on the surface more accurately and more…