activity
20142026
most citedSeabed classification using physics-based modeling and machine learning

61 citations · 358 across the 40 of their papers we have counts for

collaborators
Showing 2023 · stat.MLShow all

2 papers · 2 filters

stat.ML2023★ 2 cited

Approximately Equivariant Graph Networks

Ningyuan Huang, Ron Levie, Soledad Villar

Graph neural networks (GNNs) are commonly described as being permutation equivariant with respect to node relabeling in the graph. This symmetry of GNNs is often compared to the tr…

stat.ML2023★ 9 cited

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…