1 citations · 1 across the 2 of their papers we have counts for
4 papers
Unveiling hidden features of social evolution by inferring Langevin dynamics from data
Youngkyoung Bae, Hajime Shimao, Seungwoong Ha +2
Are there hidden dynamical common patterns in the evolution of social and cultural history? While the growing availability of digitized social data invites us to answer this questi…
Interpretable Machine Learning in Physics: A Review
Sebastian Johann Wetzel, Seungwoong Ha, Raban Iten +2
Machine learning is increasingly transforming various scientific fields, enabled by advancements in computational power and access to large data sets from experiments and simulatio…
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…
Deep learning reveals hidden interactions in complex systems
Seungwoong Ha, Hawoong Jeong
Rich phenomena from complex systems have long intrigued researchers, and yet modeling system micro-dynamics and inferring the forms of interaction remain challenging for convention…