Search Results for author:
Found 2 papers, 1 papers with code
Tensor Frames -- How To Make Any Message Passing Network Equivariant
In many applications of geometric deep learning, the choice of global coordinate frame is arbitrary, and predictions should be independent of the reference frame.
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
We here study the NP-hard optimization of BOT networks connecting a finite number of sources and sinks in $\mathbb{R}^2$.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
