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3 Jul 2024: Continuing the work of his Master’s thesis, he spent one year at the Gatsby Computational Neuroscience Unit working with Professor Sahani on latent variable dynamical systems.

4 Jul 2024: He was then a postdoc with Peter Dayan at the Gatsby Computational Neuroscience Unit, UCL, followed by a visiting research fellowship at the Collegium Budapest Institute for Advanced Study. ... Jake Stroud. I am a Sir Henry Wellcome Postdoctoral Fellow

6 Mar 2017: News. Cambridge scientist shares world’s largest neuroscience prize for research on the brain’s reward system.. ... British computational neuroscientist, Peter Dayan, director of the Gatsby Computational Neuroscience Unit, University College London,

27 Jan 2023: His academic career includes concurrent appointments as one of the founding members of the Gatsby Computational Neuroscience Unit in London, and as a faculty member of CMU's Machine Learning Department ... I have also been Adjuct Faculty at the Gatsby

27 Jan 2023: Carl Edward Rasmussen, Gatsby Computational Neuroscience Unit, UCL. ... Zoubin Ghahramani, Gatsby Computational Neuroscience Unit, UCL. We present an extension to the Mixture of Experts (ME) model, where the individual experts are Gaussian Process (GP)

27 Jan 2023: Year: MSc in Intelligent Systems, Gatsby Unit Core Course. Prerequisites: A good background in statistics, calculus, linear algebra, and computer science. ... Term: 1, 2003. Time: 11.00 to 13.00 Mondays and Thursdays. Location: Gatsby Unit, 17 Queen

His academic career includes concurrent appointments as one of the founding members of the Gatsby Computational Neuroscience Unit in London, and as a faculty member of CMU's Machine Learning Department ... He has over 200 publications in fields such as

27 Jan 2023: Term: 1, 2005. Time: 11.00 to 13.00 Mondays and Thursdays. Location: 4th floor, Gatsby Unit, 17 Queen Square. ... Dec 5 and Dec 8. NO LECTURES. Thurs Dec 15. Review Session in Gatsby Unit Basement B10 (led by Richard Turner).

13 Feb 2023: Abstract: Existing methods for estimating uncertainty in deep learning tend to require multiple forward passes, making them unsuitable for applications where computational resources are limited. ... Abstract: On a mathematical level, most computational

27 Jan 2023: Online Variational Bayesian Learning. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London. ... December 2000. http://www.gatsby.ucl.ac.uk/. Theoretical Results. Theorem 1 Given an iid data set y = (y1; : : : yn), if