Student Projects 2022

Congratulations to all our project students, who worked with us over the last months to deliver fantastic work. We wish you all the best for the future.

Here’s a brief overview of this year’s projects:

  • Ronald MacEachern (UCL): Sea Ice Freeboard Interpolation using Gaussian Process Regression
  • Sean Nassimiha (UCL): Modelling Solar Power Production withSpatio-Temporal Variational Gaussian Processes
  • William Bankes (UCL): AutoEncoding Normalising Flows Using Neural Ordinary Differential Equations
  • Rares-Ioan Jordan (UCL): On the Spectral Stability of DeepReinforcement Learning Algorithms
  • Bengt Lofgren (UCL): Boundary-aware Gaussian Processeses
  • Christopher Tan (UCL): Towards an Artificial Scientist
  • Maria Kapros (UCL): Analysis of state propagation and policy learning in model-based RL
Marc Deisenroth
Marc Deisenroth
Google DeepMind Chair of Machine Learning and Artificial Intelligence