Sung Min (Sam) Park

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Email: spark AT csail mit edu

Office: 32G-822

GitHub | Twitter | CV

 

About

Hi! I am a PhD student at MIT EECS and CSAIL, fortunate to be advised by Prof. Aleksander Mądry.

I’m broadly interested in machine learning phenomena. I’m particularly interested in understanding various aspects of modern machine learning—such as generalization, robustness, and interpretability—through the lens of data.

 

Bio

I received a BS in Computer Science from Cornell University in 2014, where I was fortunate to work with Prof. Ramin Zabih and Prof. Bobby Kleinberg.

Previously at MIT, I worked on understanding statistical-computational tradeoffs in high-dimensional statistics with Prof. Guy Bresler for my SM thesis.

In the past, I have interned at Waymo, Dropbox, and Google.

 

Research

ModelDiff: A Framework for Comparing Learning Algorithms
Harshay Shah*, Sung Min Park*, Andrew Ilyas*, Aleksander Mądry
2022
[arxiv] [blog][code]

A Data-Based Perspective on Transfer Learning
Saachi Jain*, Hadi Salman*, Alaa Khaddaj*, Eric Wong, Sung Min Park, Aleksander Mądry
2022
[arxiv] [blog]

Datamodels: Predicting Predictions from Training Data
Andrew Ilyas*, Sung Min Park*, Logan Engstrom*, Guillaume Leclerc, Aleksander Mądry
ICML 2022
[arxiv] [blog part 1 part 2] [code][data]

On Distinctive Properties of Universal Perturbations
Sung Min Park, Kuo-An Wei, Kai Xiao, Jerry Li, Aleksander Mądry
2021
[arxiv]

Sparse PCA from Sparse Linear Regression
(α-β order) Guy Bresler, Sung Min Park, Madalina Persu
NeurIPS 2018
[arxiv] [poster] [code]

On the Equivalence of Sparse Statistical Problems
Sung Min Park
SM thesis 2016
[pdf]

Structured learning of sum-of-submodular higher order energy functions
Alexander Fix, Thorsten Joachims, Sung Min Park, Ramin Zabih
ICCV 2013
[pdf]

 

Misc

Region Detection and Geometry Prediction
Patent from work during Summer 2020 internship at Waymo
[pdf]

Fourier Theoretic Probabilistic Inference over Permutations
Cornell, Spring 2014
[pdf]

Analysis of pipage method for k-max coverage
Cornell, Fall 2012
[pdf]

 

Software

Fast Forward Computer Vision (FFCV)
[code]

 

Personal

I grew up in Seoul and Singapore, where I attended SAS.

From 2016-18, I served in the Republic of Korea Army.

In my free time, I like lifting, rowing, playing basketball, and learning physics.