2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
A Configurable Library for Generating and Manipulating Maze Datasets
Michael Igorevich Ivanitskiy, Rusheb Shah, Alex F. Spies +8
Understanding how machine learning models respond to distributional shifts is a key research challenge. Mazes serve as an excellent testbed due to varied generation algorithms offe…
cs.ET2023
Safety of self-assembled neuromorphic hardware
Can Rager, Kyle Webster
The scalability of modern computing hardware is limited by physical bottlenecks and high energy consumption. These limitations could be addressed by neuromorphic hardware (NMH) whi…