Park, Sung Min

10 publications

ICLR 2025 Machine Unlearning via Simulated Oracle Matching Kristian Georgiev, Roy Rinberg, Sung Min Park, Shivam Garg, Andrew Ilyas, Aleksander Madry, Seth Neel

CVPR 2023 A Data-Based Perspective on Transfer Learning Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Mądry

CVPR 2023 FFCV: Accelerating Training by Removing Data Bottlenecks Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Mądry

ICML 2023 ModelDiff: A Framework for Comparing Learning Algorithms Harshay Shah, Sung Min Park, Andrew Ilyas, Aleksander Madry

ICML 2023 TRAK: Attributing Model Behavior at Scale Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry

ICMLW 2023 The Journey, Not the Destination: How Data Guides Diffusion Models Kristian Georgiev, Joshua Vendrow, Hadi Salman, Sung Min Park, Aleksander Madry

NeurIPSW 2022 A Unified Framework for Comparing Learning Algorithms Harshay Shah, Sung Min Park, Andrew Ilyas, Aleksander Madry

ICML 2022 Datamodels: Understanding Predictions with Data and Data with Predictions Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, Aleksander Madry

NeurIPS 2018 Sparse PCA from Sparse Linear Regression Guy Bresler, Sung Min Park, Madalina Persu

ICCV 2013 Structured Learning of Sum-of-Submodular Higher Order Energy Functions Alexander Fix, Thorsten Joachims, Sung Min Park, Ramin Zabih