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20222024
most citedVariation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression

2 citations · 3 across the 4 of their papers we have counts for

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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…