Joseph Shenouda

Orcid: 0000-0001-9451-4982

According to our database1, Joseph Shenouda authored at least 8 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression.
J. Mach. Learn. Res., 2024

The Effects of Multi-Task Learning on ReLU Neural Network Functions.
CoRR, 2024

A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ReLUs Are Sufficient for Learning Implicit Neural Representations.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
A Guide to Computational Reproducibility in Signal Processing and Machine Learning [Tips & Tricks].
IEEE Signal Process. Mag., March, 2023

Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization.
CoRR, 2023

2022
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets.
CoRR, 2022

2021
A Guide to Reproducible Research in Signal Processing and Machine Learning.
CoRR, 2021


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