1 citations · 1 across the 3 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
stat.ML2024
The Effects of Multi-Task Learning on ReLU Neural Network Functions
Julia Nakhleh, Joseph Shenouda, Robert D. Nowak
This paper studies the properties of solutions to multi-task shallow ReLU neural network learning problems, wherein the network is trained to fit a dataset with minimal sum of squa…
eess.IV2024★ 1 cited
ReLUs Are Sufficient for Learning Implicit Neural Representations
Joseph Shenouda, Yamin Zhou, Robert D. Nowak
Motivated by the growing theoretical understanding of neural networks that employ the Rectified Linear Unit (ReLU) as their activation function, we revisit the use of ReLU activati…