44 citations · 57 across the 5 of their papers we have counts for
5 papers
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Haodong Lu, Dong Gong, Shuo Wang +3
Out-of-distribution (OOD) detection aims to detect testing samples far away from the in-distribution (ID) training data, which is crucial for the safe deployment of machine learnin…
Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices
Shahroz Tariq, Alsharif Abuadbba, Kristen Moore
The metaverse has gained significant attention from various industries due to its potential to create a fully immersive and interactive virtual world. However, the integration of d…
Graph Lifelong Learning: A Survey
Falih Gozi Febrinanto, Feng Xia, Kristen Moore +2
Graph learning is a popular approach for performing machine learning on graph-structured data. It has revolutionized the machine learning ability to model graph data to address dow…
Null mean curvature flow and outermost MOTS
Theodora Bourni, Kristen Moore
We study the evolution of hypersurfaces in spacetime initial data sets by their null mean curvature. A theory of weak solutions is developed using the level-set approach. Starting…
Evolving hypersurfaces by their inverse null mean curvature
Kristen Moore
We introduce a new geometric evolution equation for hypersurfaces in asymptotically flat spacetime initial data sets, that unites the theory of marginally outer trapped surfaces (M…