Kristian Georgiev

20222023202412 49 30

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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
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
Samuel B. HopkinsMassachusetts Institute of TechnologyVerified email at mit.edu
Alaa KhaddajMassachusetts Institute of TechnologyVerified email at mit.edu
Aleksandar MakelovIndependentVerified email at mit.edu
Joshua VendrowMITVerified email at mit.edu
Saachi JainMassachusetts Institute of TechnologyVerified email at mit.edu
Dr. Marzyeh GhassemiAssistant Professor, EECS.CSAIL/IMES, MITVerified email at mit.edu
Kimia HamidiehPhD Student, MITVerified email at mit.edu

Kristian Georgiev

Verified email at mit.edu - Homepage


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Trak: Attributing model behavior at scale SM Park, K Georgiev, A Ilyas, G Leclerc, A Madry arXiv preprint arXiv:2303.14186, 2023	37	2023
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	19	2021
Implicit bias of linear equivariant networks H Lawrence, K Georgiev, A Dienes, BT Kiani arXiv preprint arXiv:2110.06084, 2021	16	2021
Privacy induces robustness: Information-computation gaps and sparse mean estimation K Georgiev, S Hopkins Advances in neural information processing systems 35, 6829-6842, 2022	14*	2022
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	3	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	3	2023
Better than Balancing: Debiasing through Data Attribution S Jain, K Hamidieh, K Georgiev, M Ghassemi, A Madry NeurIPS 2023 Workshop on Distribution Shifts: New Frontiers with Foundation …, 2023		2023
Data Attribution: From Classifiers to Generative Models K Georgiev Massachusetts Institute of Technology, 2023		2023

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