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)

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)

Training OOD Detectors in their Natural Habitats. - Julian Katz-Samuels; Julia B. Nakhleh; Robert D. Nowak; Yixuan Li 001 (ICML, 2022)

A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning. - Julia B. Nakhleh; Joseph Shenouda; Robert D. Nowak (NeurIPS, 2024)

The Effects of Multi-Task Learning on ReLU Neural Network Functions. - Julia B. Nakhleh; Joseph Shenouda; Robert D. Nowak (CoRR, 2024)

Global Minimizers of ℓp-Regularized Objectives Yield the Sparsest ReLU Neural Networks. - Julia B. Nakhleh; Robert D. Nowak (CoRR, 2025)