š¤ Talks
A list of lectures or invited talks that Iāve given with links to slides or recording if available:
2023
Spotlight talk at the Alan Turing Instituteās Uncertainty Quantification for Generative Models Workshop. Slides |
Presentation for DeepMindās AI for Science team. Slides |
Reading group on Scalable Approaches to Self-Supervised Learning using Spectral Analysis in CBL in Cambridge. Notes |
Tutorial on Score-based generative modelling and Introduction to ongoing research for SUMO at Ghent University. Slides (PDF). |
2022
Tea talk at CBL Cambridge on āHow in-context learning of transformers can be cast as Bayesian inferenceā. Slides |
Generative Models and Uncertainty Quantification (GeNU) in Copenhagen. Slides |
Gaussian Process Summer School in Sheffield. Slides |
Research Talk at CBL in Cambridge on Spherical Gaussian Processes. Slides |
Reading group on Diffusion models in CBL in Cambridge. Slides |
2021
Spotlight talk: probprog 2021 |
AI for the study of Environmental Risks (AI4ER). Guest lecture on Gaussian process models and their applications. Slides |
StatML Oxford/Imperial College PhD program: Guest lecture on Variational Gaussian processes. |
2020
ICML 2020 on Spherical harmonic features in Gaussian processes. Slides |
AISTATS 2020 on Deep Convolutional Gaussian Processes Slides |
Microsoft Research Cambridge: Research Spotlight. |
Lancaster University: Workshop on Simulations for Climate Modelling. |