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Joseph Shenouda
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Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression
J Shenouda, R Parhi, K Lee, RD Nowak
Journal of Machine Learning Research 25, 1-40, 2024
16*2024
A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets
L Yang, J Zhang, J Shenouda, D Papailiopoulos, K Lee, RD Nowak
NeurIPS 2022 Optimization for Machine Learning Workshop, 2022
62022
A Guide to Computational Reproducibility in Signal Processing and Machine Learning [Tips & Tricks]
J Shenouda, WU Bajwa
IEEE Signal Processing Magazine 40 (2), 141-151, 2023
52023
ReLUs Are Sufficient for Learning Implicit Neural Representations
J Shenouda, Y Zhou, RD Nowak
International Conference on Machine Learning 2024, 2024
32024
The Effects of Multi-Task Learning on ReLU Neural Network Functions
J Nakhleh, J Shenouda, RD Nowak
arXiv preprint arXiv:2410.21696, 2024
22024
A Continuous Transform for Localized Ridgelets
J Shenouda, R Parhi, RD Nowak
2023 International Conference on Sampling Theory and Applications (SampTA), 1-5, 2023
12023
A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning
JB Nakhleh, J Shenouda, RD Nowak
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
2024
PathProx: A Proximal Gradient Algorithm for Weight Decay Regularized Deep Neural Networks
L Yang, J Zhang, J Shenouda, D Papailiopoulos, K Lee, RD Nowak
arXiv preprint arXiv:2210.03069, 2022
2022
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