Rohan Alur

According to our database, Rohan Alur authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models.

Vinith Menon Suriyakumar, Rohan Alur, Ayush Sekhari, Manish Raghavan, Ashia C. Wilson

Trans. Mach. Learn. Res., 2026

2025

AIA Forecaster: Technical Report.

Rohan Alur, Bradly C. Stadie, Daniel Kang, Ryan Chen, Matt McManus, Michael Rickert, Tyler Lee, Michael Federici, Richard Zhu, Dennis Fogerty, Hayley Williamson, Nina Lozinski, Aaron Linsky, Jasjeet S. Sekhon

CoRR, November, 2025

The Impossibility of Inverse Permutation Learning in Transformer Models.

Rohan Alur, Chris Hays, Manish Raghavan, Devavrat Shah

CoRR, September, 2025

2024

Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework.

Rohan Alur, Loren Laine, Darrick K. Li, Dennis L. Shung, Manish Raghavan, Devavrat Shah

CoRR, 2024

Distinguishing the Indistinguishable: Human Expertise in Algorithmic Prediction.

Rohan Alur, Manish Raghavan, Devavrat Shah

CoRR, 2024

Human Expertise in Algorithmic Prediction.

Rohan Alur, Manish Raghavan, Devavrat Shah

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing.

Sarah H. Cen, Rohan Alur

Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, 2024

2023

Auditing for Human Expertise.

Rohan Alur, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah, Dennis L. Shung

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