Towards Automated Statistical Physics : Data-driven Modeling of Complex Systems with Deep Learning. - Seungwoong Ha; Hawoong Jeong (CoRR, 2020)

Discovering conservation laws from trajectories via machine learning. - Seungwoong Ha; Hawoong Jeong (CoRR, 2021)

Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network. - Seungwoong Ha; Hawoong Jeong (ICLR, 2023)

Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning. - Seungwoong Ha; Hawoong Jeong (ICML, 2023)

Inferring the Langevin Equation with Uncertainty via Bayesian Neural Networks. - Youngkyoung Bae; Seungwoong Ha; Hawoong Jeong (CoRR, 2024)

Interpretable Machine Learning in Physics: A Review. - Sebastian Johann Wetzel; Seungwoong Ha; Raban Iten; Miriam Klopotek; Ziming Liu (CoRR, 2025)

Dynamics of collective minds in online communities. - Seungwoong Ha; Henrik Olsson; Kresimir Jaksic; Max Pellert; Mirta Galesic (CoRR, 2025)