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ORCIDRohan Alur
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2020 – today
- 2025
[i7]Rohan Alur, Chris Hays
, Manish Raghavan, Devavrat Shah:
The Impossibility of Inverse Permutation Learning in Transformer Models. CoRR abs/2509.24125 (2025)- [i6]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:
AIA Forecaster: Technical Report. CoRR abs/2511.07678 (2025) - 2024
- [c3]Sarah H. Cen, Rohan Alur:
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing. EAAMO 2024: 13:1-13:14 - [c2]Rohan Alur, Manish Raghavan, Devavrat Shah:
Human Expertise in Algorithmic Prediction. NeurIPS 2024 - [i5]Rohan Alur, Manish Raghavan, Devavrat Shah:
Distinguishing the Indistinguishable: Human Expertise in Algorithmic Prediction. CoRR abs/2402.00793 (2024) - [i4]Sarah H. Cen, Rohan Alur:
From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing. CoRR abs/2410.04772 (2024) - [i3]Vinith M. Suriyakumar, Rohan Alur, Ayush Sekhari, Manish Raghavan, Ashia C. Wilson:
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models. CoRR abs/2410.08074 (2024) - [i2]Rohan Alur, Loren Laine, Darrick K. Li, Dennis L. Shung, Manish Raghavan, Devavrat Shah:
Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework. CoRR abs/2410.08783 (2024) - 2023
- [c1]Rohan Alur, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah, Dennis L. Shung:
Auditing for Human Expertise. NeurIPS 2023 - [i1]Rohan Alur, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah, Dennis L. Shung:
Auditing for Human Expertise. CoRR abs/2306.01646 (2023)
Coauthor Index
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