Analysis of normal-form algorithms for solving systems of polynomial equations. - Suzanna Parkinson; Hayden Ringer; Kate Wall; Erik Parkinson; Lukas Erekson; Daniel Christensen; Tyler J. Jarvis (J. Comput. Appl. Math., 2022)

Linear Neural Network Layers Promote Learning Single- and Multiple-Index Models. - Suzanna Parkinson; Greg Ongie; Rebecca Willett (CoRR, 2023)

Depth Separation in Norm-Bounded Infinite-Width Neural Networks. - Suzanna Parkinson; Greg Ongie; Rebecca Willett; Ohad Shamir; Nathan Srebro (COLT, 2024)

ReLU Neural Networks with Linear Layers Are Biased towards Single- and Multi-index Models. - Suzanna Parkinson; Greg Ongie; Rebecca Willett (SIAM J. Math. Data Sci., 2025)

Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay. - Hannah Laus; Suzanna Parkinson; Vasileios Charisopoulos; Felix Krahmer; Rebecca Willett (CoRR, 2025)