Towards Causal Representation Learning with Observable Sources as Auxiliaries
Kwonho Kim, Heejeong Nam, Inwoo Hwang, Sanghack Lee
ICML 2025 Workshop on Scaling Up Intervention Models
About
Hello! I am a first-year CS master's student at
, working with Prof. Randall Balestriero.
Prior to joining Brown, I worked as an AI researcher at
for 1.5
years.
I am grateful to have my studies funded through the
— sponsored by the U.S. Department of State.
Currently, I am highly interested in:
- Structured Representation Learning
- Causal AI
- World Models
Alongside, I am keen to put effort into :
- Compositional Understanding
- AI for Science
Ongoing Projects: Recently I am working on Structured Representation Learning for video and Topological Representation Learning for single-cell data.
News
| Sep. 2025 | Check out Boeing Magazine’s latest issue featuring our project HERE! |
| Sep. 2025 |
I start my M.S. in Computer Science at
.
|
| May. 2025 |
I am honored to be selected as a
graduate student.
|
| Mar. 2025 | Our multimodal reasoning benchmark VAGUE 2.0 (ICCV 2025) is released! |
| Oct. 2024 | 1 paper is accepted at AdvML-Frontiers @ NeurIPS 2024 |
| Jun. 2024 | I started research collaboration @ Causality Lab (SNU). |
| Jan. 2024 |
I joined
as an AI Researcher.
|
| Dec. 2023 | 1 paper is accepted at ICASSP 2024 |
| Oct. 2023 | 1 paper is accepted at CRL @ NeurIPS 2023 |
| Oct. 2023 | Selected as a NeurIPS 2023 Volunteer. |
| Sep. 2023 | I started Industry-Academic Cooperation @ LinqAlpha. |
| Sep. 2023 | 1 paper is accepted in 4th Korea Artificial Intelligence Conference. |
| Oct. 2022 | I starteed my internship at AITRICS (~Feb '23). |
| Jun. 2022 | I starteed my internship at VRL @ UCSB. (~Sep '22) |
Publications
* indicates equal contribution.
Towards Causal Representation Learning with Observable Sources as Auxiliaries
Kwonho Kim, Heejeong Nam, Inwoo Hwang, Sanghack Lee
ICML 2025 Workshop on Scaling Up Intervention Models
When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research
Guijin Son, Jiwoo Hong, Honglu Fan, Heejeong Nam, Hyunwoo Ko, Seungwon Lim, Jinyeop Song, Jinha Choi, Gonçalo Paulo, Youngjae Yu, Stella Biderman
Preprint
VAGUE: Visual Contexts Clarify Ambiguous Expressions
Heejeong Nam*, Jinwoo Ahn*, Keummin Ka, Jiwan Chung, Youngjae Yu
ICCV 2025 (International Conference on Computer Vision)
An Adversarial Learning Approach to Irregular Time-Series Forecasting
Heejeong Nam, Jihyun Kim, Jimin Yeom
NeurIPS 2024 Workshop on AdvML-Frontiers
Compact and De-biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Pathological Images
Joohyeong Lee, Heejeong Nam, Kwanhyeong Lee, Sangchul Hahn
ICASSP 2024 (International Conference on Acoustics, Speech and Signal Processing), IEEE
SCADI: Self-supervised Causal Disentanglement in Latent Variable Models
Heejeong Nam
NeurIPS 2023 Workshop on Causal Representation Learning
Enhanced Open Set Recognition via Disentangled Representation Learning
Heejeong Nam
2023 Korea Artificial Intelligence Conference pp.208-210
Past Experiences
| AI Researcher, Boeing Korea Engineering and Technology Center , Jan 2024–Present |
| B.S. (EE), Yonsei University , Mar 2019–Feb 2024, |
| AI Research Intern, Linq Labs , Sep 2023–Dec 2023 |
| AI Research Intern, AITRICS , Oct 2022–Feb 2023 |
| AI Research Intern, Vision Research Lab at UCSB , Jun 2022–Sep 2022 |
| Exchange Student (ECE), University of California, Los Angeles , Winter, Spring 2022 |
Miscellaneous
I love (almost all) outdoor activities. I enjoy working out, figure skating, snowboarding, swimming, and bouldering. I'm always excited to try new sports. I also like taking pictures of nature during the travel.
