3 papers
math.DS2026
Learning dynamical systems with biochemically informed neural ordinary differential equations
Luis L. Fonseca, Reinhard C. Laubenbacher, Lucas Böttcher
Ordinary differential equation models of biochemical reactions are often formulated as stoichiometric systems in which the dynamics arise from a collection of interacting processes…
q-fin.PM2025
Efficient Portfolio Selection through Preference Aggregation with Quicksort and the Bradley--Terry Model
Yurun Ge, Lucas Böttcher, Tom Chou +1
How to allocate limited resources to projects that will yield the greatest long-term benefits is a problem that often arises in decision-making under uncertainty. For example, orga…
q-bio.QM2025
Reconstructing Noisy Gene Regulation Dynamics Using Extrinsic-Noise-Driven Neural Stochastic Differential Equations
Jiancheng Zhang, Xiangting Li, Xiaolu Guo +6
Proper regulation of cell signaling and gene expression is crucial for maintaining cellular function, development, and adaptation to environmental changes. Reaction dynamics in cel…