Echo Chambers in Collaborative Filtering Based Recommendation Systems. - Emil Noordeh; Roman Levin; Ruochen Jiang; Harris Shadmany (CoRR, 2020)

Insights into population behavior during the COVID-19 pandemic from cell phone mobility data and manifold learning. - Roman Levin; Dennis L. Chao; Edward A. Wenger; Joshua L. Proctor (Nat. Comput. Sci., 2021)

Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability. - Roman Levin; Manli Shu; Eitan Borgnia; Furong Huang; Micah Goldblum; Tom Goldstein (NeurIPS, 2022)

Transfer Learning with Deep Tabular Models. - Roman Levin; Valeriia Cherepanova; Avi Schwarzschild; Arpit Bansal; C. Bayan Bruss; Tom Goldstein; Andrew Gordon Wilson; Micah Goldblum (ICLR, 2023)

A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning. - Valeriia Cherepanova; Roman Levin; Gowthami Somepalli; Jonas Geiping; C. Bayan Bruss; Andrew Gordon Wilson; Tom Goldstein; Micah Goldblum (NeurIPS, 2023)

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference. - Roman Levin; Valeriia Cherepanova; Abhimanyu Hans; Avi Schwarzschild; Tom Goldstein (CoRR, 2025)