no code implementations • 14 Apr 2022 • Ethan Jacob Moyer, Alisha Isabelle Augustin, Satvik Tripathi, Ansh Aashish Dholakia, Andy Nguyen, Isamu Mclean Isozaki, Daniel Schwartz, Edward Kim
In each generation of our evolutionary algorithm, a set number of children with the same initial weights are spawned.
no code implementations • 25 Aug 2021 • Ethan Jacob Moyer, Yigit Can Alparslan
The 2021 Drexel Society of Artificial Intelligence Research Conference highlights papers focused on a broad set of papers in machine learning.
no code implementations • 21 Jan 2021 • Ethan Jacob Moyer, Anup Das
A common problem in bioinformatics is related to identifying gene regulatory regions marked by relatively high frequencies of motifs, or deoxyribonucleic acid sequences that often code for transcription and enhancer proteins.
1 code implementation • 16 Jan 2021 • Yigit Alparslan, Ethan Jacob Moyer, Edward Kim
In this paper, we study compact neural network architectures for binary classification and investigate improvements in speed and accuracy when favoring overcomplete architecture candidates that have a very high-dimensional representation of the input.
1 code implementation • 16 Jan 2021 • Yigit Alparslan, Ethan Jacob Moyer, Isamu Mclean Isozaki, Daniel Schwartz, Adam Dunlop, Shesh Dave, Edward Kim
Architecture size for a neural network contributes significantly to the success of any neural network.