Applied Mathematics
Printer-friendly versionReconstructing Flexible Proteins from Massive Microscopy Datasets
Inverse obstacle scattering with trapping and dissipative media
Neural encoding manifolds
A High-Order Close Evaluation Scheme of Laplace and Helmholtz Layer Potentials in 3D
Two Techniques Involving High-Dimensional Data
Laplacian Pyramids Multi-scale Regression with Applications
Manifolds, and new families of multiscale functions that are easy to learn by Neural Networks
Solving partial differential equations exactly over polynomials
Manifold learning with sparse regularised optimal transport
