Julia B. Nakhleh

According to our database, Julia B. Nakhleh authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Global Minimizers of ℓ^p-Regularized Objectives Yield the Sparsest ReLU Neural Networks.

Julia B. Nakhleh, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

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

Julia B. Nakhleh, Joseph Shenouda, Robert D. Nowak

CoRR, 2024

A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning.

Julia B. Nakhleh, Joseph Shenouda, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Training OOD Detectors in their Natural Habitats.

Julian Katz-Samuels, Julia B. Nakhleh, Robert D. Nowak, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2022

2020

Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design.

M. Giselle Fernández-Godino, Michael J. Grosskopf, Julia B. Nakhleh, Brandon M. Wilson, John Kline, Gowri Srinivasan

CoRR, 2020

Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning.

Julia B. Nakhleh, M. Giselle Fernández-Godino, Michael J. Grosskopf, Brandon M. Wilson, John Kline, Gowri Srinivasan

CoRR, 2020