Roman Levin

According to our database, Roman Levin authored at least 5 papers between 2020 and 2023.

Collaborative distances:

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transfer Learning with Deep Tabular Models.

Roman Levin, Valeriia Cherepanova, Avi Schwarzschild, Arpit Bansal, C. Bayan Bruss, Tom Goldstein, Andrew Gordon Wilson, Micah Goldblum

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability.

Roman Levin, Manli Shu, Eitan Borgnia, Furong Huang, Micah Goldblum, Tom Goldstein

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

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

2020

Echo Chambers in Collaborative Filtering Based Recommendation Systems.

Emil Noordeh, Roman Levin, Ruochen Jiang, Harris Shadmany

CoRR, 2020