3 citations · 3 across the 3 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Predicting Treatment Adherence of Tuberculosis Patients at Scale
Mihir Kulkarni, Satvik Golechha, Rishi Raj +9
Tuberculosis (TB), an infectious bacterial disease, is a significant cause of death, especially in low-income countries, with an estimated ten million new cases reported globally i…