Search Results for author:
Found 2 papers, 1 papers with code
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds
We present a novel kernel-based machine learning algorithm for identifying the low-dimensional geometry of the effective dynamics of high-dimensional multiscale stochastic systems.
A kernel-based approach to molecular conformation analysis
We present a novel machine learning approach to understanding conformation dynamics of biomolecules.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
