Len Bos

The approximation power of moving least-squares

Polynomial interpolation in several variables

Tensor Decomposition for Signal Processing and Machine Learning

Minimizing the Condition Number of a Gram Matrix

Recent advances in surrogate-based optimization

Gradient incorporation in one-dimensional applications of interpolating moving least-squares methods for fitting potential energy surfaces

A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints

Symmetric Tensors and Symmetric Tensor Rank

Permutationally invariant potential energy surfaces in high dimensionality

Tensor Decompositions and Applications

Moving least-squares are Backus-Gilbert optimal

Tensor product Gauss-Lobatto points are Fekete points for the cube

On certain configurations of points in which are unisolvent for polynomial interpolation