Past & Upcoming Talks

Recent Publications

Quickly discover relevant content by filtering publications.

Gaussian processes are the gold standard for many real-world modeling problems, especially in cases where a model’s success …

We present a Bayesian non-parametric way of inferring stochastic differential equations for both regression tasks and continuous-time …

Learning workable representations of dynamical systems is becoming an increasingly important problem in a number of application areas. …

Mathematics for Machine Learning is a book that motivates people to learn mathematical concepts. The book is not intended to cover …

Gaussian processes are nonparametric Bayesian models that have been applied to regression and classification problems. One of the …

Contact