Recent & Upcoming Talks

I’ll be giving a lecture on model-based RL at the Cambridge Ellis Unit Summer School on Probabilistic Machine Learning 2024.

In this talk, I’ll present an overview of the Laplace approximation for quantifying uncertainty in Bayesian neural networks. …

In this guest lecture I present the role of uncertainty quantification in model-based RL. I show how to quantify uncertainty in …

In this talk I presented “Simplifying Model-Based RL: Learning Representations, Latent-Space Models, and Policies with One …

In this talk I will present our ICRA 2021 paper “Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation”.

This talk presented recent work synergising Bayesian inference and probabilistic Riemannian geometries to control multimodal dynamical …