Invited Talks

  • Amazon Machine Learning Berlin, Invited Talk, Learning from Alignments, October 2016
  • University of Oxford, Invited Talk, Inter-Battery Latent Variable Models, July 2016
  • University of Bath, Invited Talk, Shared Gaussian Process Latent Variable Models, April 2016
  • University of Bristol, SPHERE, Invited Talk, Inter-Battery Latent Variable Models, May 2016
  • University of Aalto, Feature Selection using Latent Variable Models, January 2016
  • Toposys EU project, Invited Talk, Gaussian Processes, November, 2014
  • University of Manchester, Invited Talk, Inter-Battery Factor Analysis and Factorised Latent Variable Models, September 2014
  • Gaussian Process Summer School, University of Sheffield, Invited Talk, Feature Selection using GP-LVM’s, September 2014
  • International Conference on Machine Vision and Machine Learning, Keynote, Factorised Latent Variable Models, August 2014
  • University of Linköping, Invited Talk, Factorised Latent Variable Models and Variational Inference, May 2014
  • University of Linköping, Invited Talk - Machine Learning Symposium, Manifold Relevance Determination, February 2014
  • University of Bristol, Invited Talk, Factorised Representations, December 2013
  • University of Uppsala, Invited Talk, Factorised Latent Variable Models - with Gaussian Processes, October 2013
  • University of Oxford, Phil Torr Symposium, Representing Sequences with Kernels, October 2013
  • University of Zaragoza, Invited Talk, Representing and Exploiting Structure in Sensory Data for Robotics and Computer Vision, February 2013
  • University of Sheffield, Sheffield Institute for Translational Neuroscience, Invited Talk, Representing Structure in Robotics and Computer Vision, September 2012
  • Blekinge Institute of Technology, Invited Talk, The Art of Realtime, May 2012
  • Symposium on Robotic Skill Learning and Cognition, Invited Talk. Abstraction by Structure, April 2012.
  • University of Göttingen, Invited Talk, Data representation in Robotics, February 2011.
  • Uppsala University, Invited Talk, Graphical Models for Grasping, October 2010.
  • ECCV - Vision for Cognitive Tasks, Exploring Affordances in Robotic Grasping through Latent Structure Representation, September 2010.
  • KTH Stockholm, Departmental Seminar, Shared Gaussian Process Latent Variable Models. August 2009.
  • University of Bristol, Departmental Seminar, The Art of Realtime - an introduction to the demoscene. June 2008
  • University of Bristol, Departmental Seminar, Shared Gaussian Process Latent Variable Models. October 2007.
  • University of Manchester, Reading Group, Flow Networks and Graph Cuts. 2007.
  • University of Manchester, Invited Talk, GP-LVM for Human Pose Estimation. 2006.

Tutorials/Courses

  • Tutorial: Machine Learning - Models and Classification, University of Bristol, Course for Sony organised by VILab, June 2016
  • Tutorial: Gaussian Processes - an introduction to probabilistic treatment of functions, Karolinska Institute, Tutorial, March 2015
  • PhD course: Representation Learning, 2 day PhD level course, University of Aalborg, March 2014
  • Tutorial: Dimensionality Reduction, University of Oxford, July 2007

Public Engagement

  • Partsrådet, Artificial Intelligence and its implications on society and the labour market, 1 day course for Swedish Goverment, September 2016
  • Partsrådet, Artificial Intelligence and its implications on society and the labour market, 1 day course for Swedish Goverment, March 2016
  • TEDx, Why I do not fear Artificial Intelligence, December 2015
  • Eurocon 2011, Invited Talk. Robotics: What is the holdup, June 2011. Eurocon is the biggest European Comic and Science Fiction event and I gave a talk on why real robots isn't like what we see in Star Trek.