Sung Min Park

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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
Hadi SalmanOpenAI, MITVerified email at mit.edu
Logan EngstromMITVerified email at mit.edu
Kristian GeorgievMITVerified email at mit.edu
Alaa KhaddajMassachusetts Institute of TechnologyVerified email at mit.edu
Saachi JainMassachusetts Institute of TechnologyVerified email at mit.edu
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Alexander FixFacebook Reality LabsVerified email at oculus.com
Ramin ZabihProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Harshay ShahMITVerified email at mit.edu
Guy BreslerMITVerified email at mit.edu
Joshua VendrowMITVerified email at mit.edu
Kai Yuanqing XiaoPhD Student, MIT CSAILVerified email at mit.edu

Sung Min Park

MIT

Verified email at mit.edu - Homepage

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Datamodels: Predicting predictions from training data A Ilyas, SM Park, L Engstrom, G Leclerc, A Madry International Conference on Machine Learning, 9525-9587, 2022	125*	2022
Trak: Attributing model behavior at scale SM Park, K Georgiev, A Ilyas, G Leclerc, A Madry arXiv preprint arXiv:2303.14186, 2023	77	2023
FFCV: Accelerating training by removing data bottlenecks G Leclerc, A Ilyas, L Engstrom, SM Park, H Salman, A Mądry Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	61*	2023
A Data-Based Perspective on Transfer Learning S Jain, H Salman, A Khaddaj, E Wong, SM Park, A Mądry Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023	38	2023
Structured learning of sum-of-submodular higher order energy functions A Fix, T Joachims, SM Park, R Zabih Proceedings of the IEEE International Conference on Computer Vision, 3104-3111, 2013	33	2013
Modeldiff: A framework for comparing learning algorithms H Shah, SM Park, A Ilyas, A Madry International Conference on Machine Learning, 30646-30688, 2023	22	2023
Sparse PCA from sparse linear regression G Bresler, SM Park, M Persu Advances in Neural Information Processing Systems 31, 2018	12	2018
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
On distinctive properties of universal perturbations SM Park, KA Wei, K Xiao, J Li, A Madry arXiv preprint arXiv:2112.15329, 2021	2	2021
On the equivalence of sparse statistical problems SM Park Massachusetts Institute of Technology, 2016		2016

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