Decomposing Signals from Dynamical Systems Using Shadow Manifold Interpolation. - Erin George; Colleen E. Chan; Gal Dimand; Ryan M. Chakmak; Claudia Falcon; Daniel Eckhardt; Robert Scott Martin (SIAM J. Appl. Dyn. Syst., 2021)

Multi-Randomized Kaczmarz for Latent Class Regression. - Erin George; Yotam Yaniv; Deanna Needell (IEEECONF, 2022)

Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? - Erin George; Michael Murray; William Swartworth; Deanna Needell (NeurIPS, 2023)

Detecting and Mitigating Indirect Stereotypes in Word Embeddings. - Erin George; Joyce A. Chew; Deanna Needell (CoRR, 2023)

Benign overfitting in leaky ReLU networks with moderate input dimension. - Kedar Karhadkar; Erin George; Michael Murray; Guido F. Montúfar; Deanna Needell (NeurIPS, 2024)

Towards a Fairer Non-negative Matrix Factorization. - Lara Kassab; Erin George; Deanna Needell; Haowen Geng; Nika Jafar Nia; Aoxi Li (CoRR, 2024)

Observational Multiplicity. - Erin George; Deanna Needell; Berk Ustun (CoRR, 2025)