https://openreview.net/forum?id=tcvMzR2NrP&referrer=%5Bthe%20profile%20of%20Brian%20Karrer%5D(%2Fprofile%3Fid%3D~Brian_Karrer1)
The design space of discrete-space diffusion or flow generative models are significantly less well-understood than their continuous-space counterparts, with...
flow matchinggeneraldiscretepathskinetic
https://ieeexplore.ieee.org/document/9310292/
A necessary step when designing electromagnetic-based medical devices is the choice of an optimal matching medium, standing between the patient and the phased a
optimal matchingmediumworkingfrequency
https://arxiv.org/abs/2504.16360v1
Abstract page for arXiv paper 2504.16360v1: Disentangled Graph Representation Based on Substructure-Aware Graph Optimal Matching Kernel Convolutional Networks
graph representationbasedsubstructureaware
https://openreview.net/forum?id=uDXFOurrHM
Partial graph matching extends traditional graph matching by allowing some nodes to remain unmatched, enabling applications in more complex scenarios. However,...
graph matchingoptimal transportlearningpartialvia