6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Panther: Faster and Cheaper Computations with Randomized Numerical Linear Algebra
Fahd Seddik, Abdulrahman Elbedewy, Gaser Sami +2
Training modern deep learning models is increasingly constrained by GPU memory and compute limits. While Randomized Numerical Linear Algebra (RandNLA) offers proven techniques to c…
cs.LG2022★ 6 cited
Start Small: Training Controllable Game Level Generators without Training Data by Learning at Multiple Sizes
Yahia Zakaria, Magda Fayek, Mayada Hadhoud
A level generator is a tool that generates game levels from noise. Training a generator without a dataset suffers from feedback sparsity, since it is unlikely to generate a playabl…