Park, Sung Min
- TRAK: Attributing Model Behavior at Scale
2023/03/24 by Sung‐Min Park, Kristian Georgiev, Park, Sung Min +7 · 45 citations
Medicine · Computer Science · #COVID-19 diagnosis using AI #Explainable Artificial Intelligence (XAI) #Domain Adaptation and Few-Shot Learning
- Datamodels: Predicting Predictions from Training Data
2022/02/01 by Andrew Ilyas, Sung Min Park, Ilyas, Andrew +7 · 24 citations
Computer Science · Materials Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Materials Science #Software Engineering Research
- A Data-Based Perspective on Transfer Learning
2022/07/12 by Jain, Saachi, Salman, Hadi, Khaddaj, Alaa +3 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- The Journey, Not the Destination: How Data Guides Diffusion Models
2023/12/11 by Kristian Georgiev, Joshua Vendrow, Georgiev, Kristian +7 · 5 citations
Computer Science · Medicine · #Generative Adversarial Networks and Image Synthesis #Advanced Neuroimaging Techniques and Applications #AI in cancer detection
- FFCV: Accelerating Training by Removing Data Bottlenecks
2023/06/21 by Leclerc, Guillaume, Ilyas, Andrew, Engstrom, Logan +3 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Attribute-to-Delete: Machine Unlearning via Datamodel Matching
2024/10/30 by Kristian Georgiev, Georgiev, Kristian, Roy Rinberg +11 · 4 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Sparse PCA from Sparse Linear Regression
2018/11/25 by Guy Bresler, Sung Min Park, Bresler, Guy +3 · 1 citation
Computer Science · Engineering · Chemistry · #Blind Source Separation Techniques #Sparse and Compressive Sensing Techniques #Spectroscopy and Chemometric Analyses