52 citations · 70 across the 18 of their papers we have counts for
3 papers · 1 filter
Warm-starting PDE solvers with any-dimensional machine learning
Wilson G. Gregory, George A. Kevrekidis, Ben Blum-Smith +1
Any-dimensional machine learning models, such as graph neural networks (GNNs), can be naturally trained and evaluated on inputs of different sizes and dimensions. Inspired by the G…
Towards fully covariant machine learning
Soledad Villar, David W. Hogg, Weichi Yao +2
Any representation of data involves arbitrary investigator choices. Because those choices are external to the data-generating process, each choice leads to an exact symmetry, corre…
MarkerMap: nonlinear marker selection for single-cell studies
Nabeel Sarwar, Wilson Gregory, George A Kevrekidis +2
Single-cell RNA-seq data allow the quantification of cell type differences across a growing set of biological contexts. However, pinpointing a small subset of genomic features expl…