5 citations · 16 across the 8 of their papers we have counts for
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cs.LG2022★ 2 cited
Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network
Seungwoong Ha, Hawoong Jeong
Dynamical systems with interacting agents are universal in nature, commonly modeled by a graph of relationships between their constituents. Recently, various works have been presen…
cs.LG2022★ 1 cited
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning
Seungwoong Ha, Hawoong Jeong
How have individuals of social animals in nature evolved to learn from each other, and what would be the optimal strategy for such learning in a specific environment? Here, we addr…
cs.LG2021★ 4 cited
Discovering conservation laws from trajectories via machine learning
Seungwoong Ha, Hawoong Jeong
Invariants and conservation laws convey critical information about the underlying dynamics of a system, yet it is generally infeasible to find them from large-scale data without an…