Many complex systems can be modeled via Markov jump processes. Applications include chemical reactions, population dynamics, and telecommunication networks. Rare-event estimation for such models can ...

When: Wednesday 19/04/2023 at 4:00-5:30PM (UK time). Title: How well can we model protein dynamics using Markov jump processes? Proteins regulate and manage all processes that makeup life as we know ...

The study of Dirichlet forms and Markov processes in fractal geometry offers a robust framework for analysing irregular spaces that do not conform to classical Euclidean structures. Dirichlet forms ...

The ability to deal with unseen objects in a zero-shot manner makes machine learning models very attractive for applications in robotics, allowing robots to enter previously unseen environments and ...