3 citations · 3 across the 1 of their papers we have counts for
3 papers
Dimensionality Reduction of Complex Metastable Systems via Kernel Embeddings of Transition Manifolds
Andreas Bittracher, Stefan Klus, Boumediene Hamzi +2
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.…
Learning chemical reaction networks from trajectory data
Wei Zhang, Stefan Klus, Tim Conrad +1
We develop a data-driven method to learn chemical reaction networks from trajectory data. Modeling the reaction system as a continuous-time Markov chain and assuming the system is…
Sparse NonGaussian Component Analysis
Elmar Diederichs, Anatoli Juditsky, Vladimir Spokoiny +1
Non-gaussian component analysis (NGCA) introduced in offered a method for high dimensional data analysis allowing for identifying a low-dimensional non-Gaussian component of the wh…