72 citations · 89 across the 8 of their papers we have counts for
8 papers
Deep Learning Method for Computing Committor Functions with Adaptive Sampling
Bo Lin, Weiqing Ren
The committor function is a central object for quantifying the transitions between metastable states of dynamical systems. Recently, a number of computational methods based on deep…
Computing Transition Pathways for the Study of Rare Events Using Deep Reinforcement Learning
Bo Lin, Yangzheng Zhong, Weiqing Ren
Understanding the transition events between metastable states in complex systems is an important subject in the fields of computational physics, chemistry and biology. The transiti…
Machine Learning-Augmented Optimization of Large Bilevel and Two-stage Stochastic Programs: Application to Cycling Network Design
Timothy C. Y. Chan, Bo Lin, Shoshanna Saxe
A wide range of decision problems can be formulated as bilevel programs with independent followers, which as a special case include two-stage stochastic programs. These problems ar…
Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning
Bo Lin, Qianxiao Li, Weiqing Ren
The invariant distribution, which is characterized by the stationary Fokker-Planck equation, is an important object in the study of randomly perturbed dynamical systems. Traditiona…
Text Mining Undergraduate Engineering Programs' Applications: the Role of Gender, Nationality, and Socio-economic Status
Bo Lin, Bissan Ghaddar, Ada Hurst
Women, visible minorities, and other socially disadvantaged groups continue to be underrepresented in STEM education. Understanding students' motivations for pursuing a STEM major,…
A Data Driven Method for Computing Quasipotentials
Bo Lin, Qianxiao Li, Weiqing Ren
The quasipotential is a natural generalization of the concept of energy functions to non-equilibrium systems. In the analysis of rare events in stochastic dynamics, it plays a cent…