56 citations · 105 across the 3 of their papers we have counts for
4 papers
Parsimonious Representation of Nonlinear Dynamical Systems Through Manifold Learning: A Chemotaxis Case Study
Carmeline J. Dsilva, Ronen Talmon, Ronald R. Coifman +1
Nonlinear manifold learning algorithms, such as diffusion maps, have been fruitfully applied in recent years to the analysis of large and complex data sets. However, such algorithm…
Data-Driven Reduction for Multiscale Stochastic Dynamical Systems
Carmeline J. Dsilva, Ronen Talmon, C. William Gear +2
Multiple time scale stochastic dynamical systems are ubiquitous in science and engineering, and the reduction of such systems and their models to only their slow components is ofte…
Nonlinear Intrinsic Variables and State Reconstruction in Multiscale Simulations
Carmeline J. Dsilva, Ronen Talmon, Neta Rabin +2
Finding informative low-dimensional descriptions of high-dimensional simulation data (like the ones arising in molecular dynamics or kinetic Monte Carlo simulations of physical and…
Reduced models in chemical kinetics via nonlinear data-mining
Eliodoro Chiavazzo, C. William Gear, Carmeline J. Dsilva +2
The adoption of detailed mechanisms for chemical kinetics often poses two types of severe challenges: First, the number of degrees of freedom is large; and second, the dynamics is…