Kristian Georgiev

100

20222023202410 48 98

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Aleksander MądryMITVerified email at mit.edu
Andrew IlyasMassachusetts Institute of TechnologyVerified email at mit.edu
Guillaume LeclercPhD StudentVerified email at mit.edu
Sung Min ParkMITVerified email at mit.edu
Hadi SalmanOpenAI, MITVerified email at mit.edu
Alaa KhaddajMassachusetts Institute of TechnologyVerified email at mit.edu
Aleksandar MakelovIndependentVerified email at mit.edu
Samuel B. HopkinsMassachusetts Institute of TechnologyVerified email at mit.edu
Alireza FallahUC BerkeleyVerified email at berkeley.edu
Asuman OzdaglarMathworks Professor, EECS, MITVerified email at mit.edu
Aryan MokhtariUniversity of Texas at AustinVerified email at austin.utexas.edu
Bobak KianiMITVerified email at mit.edu
Hannah LawrencePhD Student, Massachusetts Institute of TechnologyVerified email at mit.edu
Saachi JainMassachusetts Institute of TechnologyVerified email at mit.edu
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITVerified email at mit.edu
Kimia HamidiehPhD Student, MITVerified email at mit.edu
Benjamin Cohen-WangPhD Student, MITVerified email at mit.edu
Harshay ShahMITVerified email at mit.edu

Kristian Georgiev

Verified email at mit.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Trak: Attributing model behavior at scale SM Park, K Georgiev, A Ilyas, G Leclerc, A Madry arXiv preprint arXiv:2303.14186, 2023	76	2023
Privacy induces robustness: Information-computation gaps and sparse mean estimation K Georgiev, S Hopkins Advances in neural information processing systems 35, 6829-6842, 2022	23	2022
On the convergence theory of debiased model-agnostic meta-reinforcement learning A Fallah, K Georgiev, A Mokhtari, A Ozdaglar Advances in Neural Information Processing Systems 34, 3096-3107, 2021	22	2021
Implicit bias of linear equivariant networks H Lawrence, K Georgiev, A Dienes, BT Kiani arXiv preprint arXiv:2110.06084, 2021	14	2021
The journey, not the destination: How data guides diffusion models K Georgiev, J Vendrow, H Salman, SM Park, A Madry arXiv preprint arXiv:2312.06205, 2023	11	2023
Rethinking backdoor attacks A Khaddaj, G Leclerc, A Makelov, K Georgiev, H Salman, A Ilyas, A Madry International Conference on Machine Learning, 16216-16236, 2023	11	2023
ContextCite: Attributing Model Generation to Context B Cohen-Wang, H Shah, K Georgiev, A Madry arXiv preprint arXiv:2409.00729, 2024		2024
Data Debiasing with Datamodels (D3M): Improving Subgroup Robustness via Data Selection S Jain, K Hamidieh, K Georgiev, A Ilyas, M Ghassemi, A Madry arXiv preprint arXiv:2406.16846, 2024		2024
Data Attribution: From Classifiers to Generative Models K Georgiev Massachusetts Institute of Technology, 2023		2023

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