4 papers
Quantum Approximation Complexity of Classical Optimization Problems
Stuart Hadfield
Classical approximation complexity asks what solution quality can be guaranteed with polynomial-time computation. The classes APX, PTAS, and FPTAS distinguish a fixed approximation…
MNet++: Extended 2D/3D Networks for Anisotropic Medical Image Segmentation
Kirsten Odendaal, Rade Bajic
This work demonstrates a full reproduction and extension of MNet, a hybrid 2D/3D convolutional network designed for anisotropic medical image segmentation. The original architectur…
ShipNet: A Geometric Deep Learning Surrogate for Real-Time Ship Hydrodynamics
Kirsten Odendaal, George Drakoulas
Accurate prediction of hydrodynamic performance is central to ship design, yet high-fidelity computational fluid dynamics remains prohibitively expensive for large-scale parametric…
DragGANSpace: Latent Space Exploration and Control for GANs
Kirsten Odendaal, Neela Kaushik, Spencer Halverson
This work integrates StyleGAN, DragGAN and Principal Component Analysis (PCA) to enhance the latent space efficiency and controllability of GAN-generated images. Style-GAN provides…