Hyperspectral measurements from long range sensors can give a detailed
p...
There is increasing focus on analyzing data represented as hypergraphs, ...
Linear neural network layers that are either equivariant or invariant to...
Large neural networks are heavily over-parameterized. This is done becau...
Persistent homology is a crucial invariant that is used in many areas to...
Brain function and connectivity is a pressing mystery in medicine relate...