activity
20232026
most citedA Spectral Approach for Learning Spatiotemporal Neural Differential Equations

8 citations · 19 across the 8 of their papers we have counts for

collaborators

8 papers

cond-mat.stat-mech2026

A generalized work theorem for stopped stochastic chemical reaction networks

Xiangting Li, Tom Chou

We establish a generalized work theorem for stochastic chemical reaction networks (CRNs). By using a compensated Poisson jump process, we identify a martingale structure in a gener…

cond-mat.stat-mech2024

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…

stat.ML2024

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…

q-bio.MN2024★ 4 cited

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…

math.PR2024

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…

cs.LG2023★ 8 cited

A Spectral Approach for Learning Spatiotemporal Neural Differential Equations

Mingtao Xia, Xiangting Li, Qijing Shen +1

Rapidly developing machine learning methods has stimulated research interest in computationally reconstructing differential equations (DEs) from observational data which may provid…

q-bio.BM2023★ 2 cited

Stochastic nucleosome disassembly mediated by remodelers and histone fragmentation

Xiangting Li, Tom Chou

We construct and analyze monomeric and multimeric models of the stochastic disassembly of a single nucleosome. Our monomeric model predicts the time needed for a number of histone-…

q-bio.PE2023★ 5 cited

The role of APOBEC3-induced mutations in the differential evolution of monkeypox virus

Xiangting Li, Sara Habibipour, Tom Chou +1

Recent studies show that newly sampled monkeypox virus (MPXV) genomes exhibit mutations consistent with Apolipoprotein B mRNA Editing Catalytic Polypeptide-like3 (APOBEC3)-mediated…