At the core of many machine learning methods resides an iterative
optimi...
Finding saddle points of dynamical systems is an important problem in
pr...
Sampling the phase space of molecular systems – and, more generally, of
...
We construct a reduced, data-driven, parameter dependent effective Stoch...
We introduce a method to successively locate equilibria (steady states) ...
We discuss the correspondence between Gaussian process regression and
Ge...