Algorithms for Numerical Analysis in High Dimensions. - Gregory Beylkin; Martin J. Mohlenkamp (SIAM J. Sci. Comput., 2005)

Multivariate Regression and Machine Learning with Sums of Separable Functions. - Gregory Beylkin; Jochen Garcke; Martin J. Mohlenkamp (SIAM J. Sci. Comput., 2009)

Learning to Predict Physical Properties using Sums of Separable Functions. - Mayeul d'Avezac; Ryan Botts; Martin J. Mohlenkamp; Alex Zunger (SIAM J. Sci. Comput., 2011)

Capturing the Interelectron Cusp Using a Geminal Layer on an Unconstrained Sum of Slater Determinants. - Martin J. Mohlenkamp (SIAM J. Appl. Math., 2012)

The Optimization Landscape for Fitting a Rank-2 Tensor with a Rank-1 Tensor. - Xue Gong; Martin J. Mohlenkamp; Todd R. Young (SIAM J. Appl. Dyn. Syst., 2018)

The Dynamics of Swamps in the Canonical Tensor Approximation Problem. - Martin J. Mohlenkamp (SIAM J. Appl. Dyn. Syst., 2019)

Leveraging high-throughput screening data, deep neural networks, and conditional generative adversarial networks to advance predictive toxicology. - Adrian J. Green; Martin J. Mohlenkamp; Jhuma Das; Meenal Chaudhari; Lisa Truong; Robyn L. Tanguay; David M. Reif (PLoS Comput. Biol., 2021)