3 papers
cs.LG2026
SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants
Santanu Subhash Rathod, Pietro Liò, Xiao Zhang
Flow matching is a scalable generative framework for characterizing continuous normalizing flows with wide-range applications. However, current state-of-the-art methods are not wel…
cs.LG2026
ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data
Santanu Subhash Rathod, Francesco Ceccarelli, Sean B. Holden +3
Inferring trajectories from longitudinal spatially-resolved omics data is fundamental to understanding the dynamics of structural and functional tissue changes in development, rege…
cs.LG2024
Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes
Santanu Rathod, Pietro Lio, Xiao Zhang
We develop a novel data-driven framework as an alternative to dynamic flux balance analysis, bypassing the demand for deep domain knowledge and manual efforts to formulate the opti…