Scott Mahan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Manifold Learning Algorithm

Class Conditional

Label Information

Top Venues

Neural Networks

Publications

Scott Mahan, Caroline Moosmüller, Alexander Cloninger
Point Cloud Classification via Deep Set Linearized Optimal Transport. CoRR (2024)
Stefan C. Schonsheck, Scott Mahan, Timo Klock, Alexander Cloninger, Rongjie Lai
Semi-Supervised Manifold Learning with Complexity Decoupled Chart Autoencoders. CoRR (2022)
Scott Mahan, Tim Doster, Henry Kvinge
DNA: Dynamic Network Augmentation. CoRR (2021)
Scott Mahan, Emily J. King, Alex Cloninger
Nonclosedness of sets of neural networks in Sobolev spaces. Neural Networks 137 (2021)
Scott Mahan, Henry Kvinge, Tim Doster
Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions. CoRR (2021)
Scott Mahan, Emily J. King, Alex Cloninger
Nonclosedness of the Set of Neural Networks in Sobolev Space. CoRR (2020)