2 papers
cond-mat.soft2026
Neural optimization of the most probable paths of 3D active Brownian particles
Bin Zheng, Zhongqiang Xiong, Changhao Li +7
We develop a variational neural-network framework to determine the most probable path (MPP) of a 3D active Brownian particle (ABP) by directly minimizing the Onsager-Machlup integr…
cs.HC2025
Modeling Engagement Signals in Technology-Enhanced Collaborative Learning: Toward AI-Ready Feedback
Joan Zhong
Modeling engagement in collaborative learning remains challenging, especially in technology-enhanced environments where surface indicators such as participation frequency can be mi…