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27 Jan 2023: Graphical models: parameter learning. Zoubin Ghahramani. Gatsby Computational Neuroscience Unit. University College London. ... Computational Statistics and Data Analysis, 19:177–189. Jordan, M. I., editor (1998).

27 Jan 2023: Graphical models: parameter learning. Zoubin Ghahramani. Gatsby Computational Neuroscience Unit. University College London. ... Computational Statistics and Data Analysis, 19:177–189. Jordan, M. I., editor (1998).

27 Jan 2023: Gatsby Computational Neuroscience Unit. University College London. London, WC1N 3AR, UK.

27 Jan 2023: MCMC for doubly-intractable distributions. Iain MurrayGatsby Computational. Neuroscience UnitUniversity College London.

27 Jan 2023: Reader in Machine Learning, Oct 2003–Jan 2006Gatsby Computational Neuroscience Unit, University College London, UK. ... Graduate Tutor, Gatsby Computational Neuroscience Unit, 2001-2005. Selection Committee, Chair in Computational Neuroscience, UCL,

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

7 Sep 2023: Dr Tsen Vei Lim. Tsen Vei’s primary research interest lies at the intersection of computational psychiatry and drug addiction. ... Select publications. Lim. T. V. & Ersche, K. D. (2023). Theory-driven computational models in drug addiction: fruitful or

27 Sep 2023: Dr Elisa Laurenti, appointed Professor of Stem Cells and Haematopoiesis. Dr Petra Eszter Vertes, TH, appointed Professor of Systems and Computational Neuroscience. ... Dr Guillaume Jean Emmanuel Hennequin, PEM, appointed Professor of Computational

13 Feb 2023: Many existing algorithms restart training for each new hyperparameter choice, at considerable computational cost. ... We compare this scheme against natural baselines in literature along with stochastic variational GPs (SVGPs) along with an extensive

13 Feb 2023: D. ) suffice and a method with an overall computational cost of O(N(log N). ... Empirical validation suggests better performance and drastically improved computational scalablity compared with its predecessor, Improved GP-UCB.

27 Jan 2023: Unsupervised Learning. Variational Approximations. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Unsupervised Learning. Graphical Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Unsupervised Learning. Graphical Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Computational neuroscience modelling the brain and neural data. • Financial prediction making lots of money. • ... How does it fit into Information Engineering? • Main research and teaching directions in Division F: – control systems – signal

18 May 2023: Her team also builds computational tools to enable genomic advances become more accessible across the NHS. ... His work integrates cognitive neuroscience, brain imaging, fluidic biomarkers, computational models and neuropathology for experimental

27 Jan 2023: Unsupervised Learning 2003 Course Web Page (OLD). Code: COMP GI02 / COMP 4c51 / Gatsby. Year: MSc in Intelligent Systems, Gatsby Unit Core Course. Prerequisites: A good background in statistics, calculus, linear algebra, and computer science. You

27 Jan 2023: communications. computational neuroscience. computer vision and image processing. machine learning. speech recognition, machine translation and dialog systems. ... We use theoretical, computational and experimental studies to investigate the

27 Jan 2023: Nested sampling for Potts models. Iain MurrayGatsby Computational Neuroscience Unit. University College Londoni.murray@gatsby.ucl.ac.uk. ... David J.C. MacKayCavendish Laboratory. University of Cambridgemackay@mrao.cam.ac.uk. Zoubin GhahramaniGatsby

27 Jan 2023: Unsupervised Learning 2005 Course Web Page. Keywords: Machine learning, probabilistic modelling, graphical models, approximate inference, Bayesian statistics. For a summary of the entire course you can read the following chapter:. Ghahramani (2004)

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 ... In 1995, I obtained my PhD in Cognitive

27 Jan 2023: Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science. ... Psychology: perception, movement control, reinforcement learning, mathematicalpsychology. • Computational

13 Feb 2023: Bayesian Monte Carlo. Carl Edward RasmussenandZoubin GhahramaniGatsby Computational Neuroscience Unit. University College London17 Queen Square, London WC1N 3AR, England. ... 102, Novem-ber 1988, Laboratory for Computational Statistics, Department of

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)

15 Aug 2023: Professor Li Su. Professor Li Su is the head of the Artificial Intelligence and Computational Neuroscience Group, and has a joint appointment as Principal Research Fellow (equivalent to Professor Grade 11) ... He is a Specialist Committee Member at

27 Jan 2023: Computational principles ofmovement neuroscience. Daniel M. Wolpert1 and Zoubin Ghahramani2. 1 Sobell Department of Neurophysiology, Institute of Neurology, Queen Square, University College London, London WC1N 3BG, UK 2 Gatsby Computational

13 Feb 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk. ... 2] M.J. Beal and Z. Ghahramani. The variational Kalman smoother. Technical

13 Feb 2023: Infinite Latent Feature Modelsand the Indian Buffet Process. Thomas L. Griffiths Zoubin GhahramaniCognitive and Linguistic Sciences Gatsby Computational Neuroscience UnitBrown University, Providence RI University College London, Londontom

27 Jan 2023: Online Variational Bayesian Learning. Zoubin GhahramaniGatsby Computational Neuroscience Unit. University College London.

2 Oct 2023: I’m using fMRI, EEG, MEG, behavioural measures and single-cell recording data, together with computational modelling to understand these processes better. ... During the PhD, in parallel to the genomics research, I started working with Marieke Mur and

13 Feb 2023: Nested sampling for Potts models. Iain MurrayGatsby Computational Neuroscience Unit. University College Londoni.murray@gatsby.ucl.ac.uk. ... David J.C. MacKayCavendish Laboratory. University of Cambridgemackay@mrao.cam.ac.uk. Zoubin GhahramaniGatsby

27 Jan 2023: Gatsby Computational Neuroscience UnitUniversity College London. 17 Queen Square, London WC1N 3AR, England{zoubin,m.beal}@gatsby.ucl.ac.uk http://www.gatsby.ucl.ac.uk. ... 2] M.J. Beal and Z. Ghahramani. The variational Kalman smoother. Technical

27 Jan 2023: Unsupervised Learning. A Belief Propagation Demo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Unsupervised Learning. A Belief Propagation Demo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Unsupervised Learning. Propagation on Factor Graphs. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Infinite Latent Feature Modelsand the Indian Buffet Process. Thomas L. Griffiths Zoubin GhahramaniCognitive and Linguistic Sciences Gatsby Computational Neuroscience UnitBrown University, Providence RI University College London, Londontom

19 Nov 2023: Cognitive Science and Psychology: perception, movement control, reinforcementlearning, mathematical psychology, computational linguistics,. • ... Computational Neuroscience: neuronal networks, neural information processing,. • Economics: decision

27 Jan 2023: Unsupervised Learning. Zoubin Ghahramani†. Gatsby Computational Neuroscience UnitUniversity College London, UKzoubin@gatsby.ucl.ac.uk.

27 Jan 2023: Unsupervised Learning. Zoubin Ghahramani†. Gatsby Computational Neuroscience UnitUniversity College London, UKzoubin@gatsby.ucl.ac.uk.

19 Nov 2023: Using ideas from: Statistics, Computer Science, Engineering, AppliedMathematics, Cognitive Science, Psychology, Computational Neuroscience,Economics. •

27 Jan 2023: Unsupervised Learning. The EM Algorithm. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Compact approximations to Bayesian predictive distributions. Edward Snelson snelson@gatsby.ucl.ac.ukGatsby Computational Neuroscience Unit, University College London, Queen Square, London WC1N 3AR, UK. ... Zoubin Ghahramani zoubin@gatsby.ucl.ac.ukGatsby

27 Jan 2023: Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Unsupervised Learning. Lecture 6: Hierarchical and Nonlinear Models. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

13 Feb 2023: Wei Chu , Zoubin GhahramaniGatsby Computational Neuroscience Unit, University College London,. ... Bayesian segmentation ofprotein secondary structure. Journal of Computational Biology, 7(1/2):233–248, 2000.

27 Jan 2023: Unsupervised Learning. Sampling andMarkov Chain Monte Carlo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Unsupervised Learning. Sampling andMarkov Chain Monte Carlo. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Unsupervised Learning. Bayesian Model Selection. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

13 Feb 2023: Technical Report 1, Gatsby Computational Neuroscience Unit (2005). 6. Ghahramani, Z., Griffiths, T., Sollich, P.: Bayesian nonparametric latent featuremodels.

27 Jan 2023: Unsupervised Learning. Bayesian Model Comparison. Zoubin Ghahramanizoubin@gatsby.ucl.ac.uk. Gatsby Computational Neuroscience Unit, andMSc in Intelligent Systems, Dept Computer Science.

27 Jan 2023: Gatsby Computational Neuroscience UnitUniversity College London. http://www.gatsby.ucl.ac.uk/. {i.murray,zoubin }@gatsby.ucl.ac.uk. Gatsby Unit Technical Report GCNU-TR 2005-003.