Heejeong Nam

According to our database, Heejeong Nam authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Causal-JEPA: Learning World Models through Object-Level Latent Interventions.

Heejeong Nam, Quentin Le Lidec, Lucas Maes, Yann LeCun, Randall Balestriero

CoRR, February, 2026

2025

Towards Causal Representation Learning with Observable Sources as Auxiliaries.

Kwonho Kim, Heejeong Nam, Inwoo Hwang, Sanghack Lee

CoRR, September, 2025

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

CoRR, May, 2025

VAGUE: Visual Contexts Clarify Ambiguous Expressions.

Heejeong Nam, Jinwoo Ahn, Keummin Ka, Jiwan Chung, Youngjae Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

An Adversarial Learning Approach to Irregular Time-Series Forecasting.

Heejeong Nam, Jihyun Kim, Jimin Yeom

CoRR, 2024

Visual Contexts Clarify Ambiguous Expressions: A Benchmark Dataset.

Heejeong Nam, Jinwoo Ahn

CoRR, 2024

Compact and De-Biased Negative Instance Embedding for Multi-Instance Learning on Whole-Slide Image Classification.

Joohyung Lee, Heejeong Nam, Kwanhyung Lee, Sangchul Hahn

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

SCADI: Self-supervised Causal Disentanglement in Latent Variable Models.

Heejeong Nam

CoRR, 2023