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27 Jan 2023: He was co-founder of Geometric Intelligence (now Uber AI Labs) and advises a number of AI and machine learning companies. ... His academic career includes concurrent appointments as one of the founding members of the Gatsby Computational Neuroscience

27 Jan 2023: communications. computational neuroscience. computer vision and image processing. machine learning. speech recognition, machine translation and dialog systems. ... Current research interests include Bayesian approaches to machine learning, artificial

10 Apr 2024: His research programme spans computer perception, signal processing, machine learning, and neuroscience. ... He’ll strengthen connections between the Computational and Biological Learning Lab, the Machine Intelligence Lab and the Signal Processing Lab.

27 Jan 2023: Why is this useful? Machine Learning Machine learning is an interdisciplinary field focusing on both the mathematical foundations and practical applications of systems that learn, reason and act. • ... How does it fit into Information Engineering? •

10 Apr 2024: group. David was a terrific researcher and teacher in machine learning, and a passionate campaigner for social good through his work on energy. ... The post-holder will be a member of both CFI, and the Machine Learning Group, run by Prof Zoubin Ghahramani

10 Apr 2024: We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and a keen interest in doing basic research in machine learning and its ... in Machine Learning,

13 Feb 2023: 2. Relation to other methods. Function factorization with warped Gaussian processpriors (FF-WGP) generalizes a number of other wellknown machine learning techniques including matrixand tensor factorization, linear regression, and warpedGaussian

13 Feb 2023: A host of approximation techniques have recently been pro-posed to allow application of GPs to large problems in machine learning. ... However, learning good values of thehyperparameters is crucial, and it might come at a high computational cost

27 Jan 2023: Reader in Machine Learning, Oct 2003–Jan 2006Gatsby Computational Neuroscience Unit, University College London, UK. ... USA, 2007)Machine Learning Summer School (Tübingen, Germany, 2007)Machine Learning Summer School (Chicago, USA, 2005)Machine

13 Feb 2023: Editor: David Maxwell Chickering. Abstract. Directed acyclic graphs (DAGs) have been widely used as a representation of conditional indepen-dence in machine learning and statistics. ... problems. Part of this work was done while RS was at the Gatsby