17 citations · 28 across the 2 of their papers we have counts for
4 papers
Multi-View Kernels for Low-Dimensional Modeling of Seismic Events
Ofir Lindenbaum, Yuri Bregman, Neta Rabin +1
The problem of learning from seismic recordings has been studied for years. There is a growing interest in developing automatic mechanisms for identifying the properties of a seism…
Auto-adaptative Laplacian Pyramids for High-dimensional Data Analysis
Ángela Fernández, Neta Rabin, Dalia Fishelov +1
Non-linear dimensionality reduction techniques such as manifold learning algorithms have become a common way for processing and analyzing high-dimensional patterns that often have…
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…