9 citations · 34 across the 12 of their papers we have counts for
5 papers · 1 filter
Martingale properties of entropy production and a generalized work theorem with decoupled forward and backward processes
Xiangting Li, Tom Chou
By decoupling forward and backward stochastic trajectories, we construct a family of martingales and work theorems for both overdamped and underdamped Langevin dynamics. Our result…
An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks
Mingtao Xia, Xiangting Li, Qijing Shen +1
We analyze the Wasserstein distance (-distance) between two probability distributions associated with two multidimensional jump-diffusion processes. Specifically, we analyze a t…
Reliable ligand discrimination in stochastic multistep kinetic proofreading: First passage time vs. product counting strategies
Xiangting Li, Tom Chou
Cellular signaling, crucial for biological processes like immune response and homeostasis, relies on specificity and fidelity in signal transduction to accurately respond to stimul…
Perturbative adaptive importance sampling for Bayesian LOO cross-validation
Joshua C Chang, Xiangting Li, Tianyi Su +4
Importance sampling (IS) is an efficient stand-in for model refitting in performing (LOO) cross-validation (CV) on a Bayesian model. IS inverts the Bayesian update for a single obs…
Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations
Mingtao Xia, Xiangting Li, Qijing Shen +1
We provide an analysis of the squared Wasserstein-2 () distance between two probability distributions associated with two stochastic differential equations (SDEs). Based on th…