Talks

Karolinska Institute, Opuscula Medica Lecture, Closing the loop - from Decision systems to Statistical Models, November, 2023
University of Tuebingen, Probabilistic Numerics Spring School, Invited Talk, Modulated Surrogates for Bayesian Optimisation, March, 2023
Danish Technical University, Invited Talk, Exploiting Equivalence Classes in Sequential Decision Making, February, 2023
Daghsthul Seminar, Machine learning for science: bridging data-driven and mechanistic modelling, September, 2022
Danish Technical University, Invited Talk, Generative Models for Sequential Alignment, September, 2022
Karolinska Institute, Invited Talk, What is AI?, September, 2022
University of Manchester, Invited Talk, Latent Variable Models for Multi-modal data, April, 2022
University of Antwerpen, Invited Talk, Deep Neural Networks as Point Estimates for Deep Gaussian Processes, March, 2022
HDRUK, CDT Invited Talk, An Introduction to Bayesian Optimisation, February, 2022
Lifting Kernel Methods, Invited Talk, Modulated Surrogates for Bayesian Optimisation, January, 2022
Secondmind.ai, Invited Talk, Modulated Surrogates for Bayesian Optimisation, June, 2021
Astra Zeneca, Invited Talk, Surrogate Models for Active Learning, March, 2021
University of Cambridge, Accelerate Winter School, Machine Learning and the Scientific Principle, February, 2021
University of Oxford, OatML Seminar, Composite Functions and Uncertainty, January, 2021
University of Cambridge, AI Group Seminar, Modulated Surrogates for Bayesian Optimisation, November, 2020
University of Cambridge, Invited Talk, Introduction to Bayesian Optimisation, August, 2020
University of Warwick, Invited Talk, Modulated Surrogates for Bayesian Optimisation, February 2020
University of Genoa, Invited Talk, Monotonic Gaussian Process Flow, January 2020
Deep Structures, Workshop, Composite Uncertainty in Gaussian Processes, December 2019
University of Cambridge, Data efficient and interpretable machine learning, November 2019
Bending Spoons, Invited Talk, Intelligent Machines?, September 2019
Applied Inverse Problems, Workshop, Latent variable models using marginal Gaussian processes, July 2019
Motion Picture Company, Invited Talk, No Free Lunch?, June 2019
Siemens, Munich, Learning Alignments, March 2019
University of Örebro, Invited Talk, Composite Stochastic Processes, January 2019
Rolls Royce, Invited Talk, Machine Learning, January 2019
Prowler, Invited Talk, Learning Alignments, January 2019
University of Bristol, School Research Day, Plenary Talk, Data efficient learning, November 2018
University of Bristol, Math Department, Stochastic Variational Inference, November 2018
University of Bristol, Neuroscience research talk, Factorised Dependency Structures, October 2018
University of Bristol, Math Department, Gaussian processes and our lost friend the Factor Graph, October 2018
ClusterOne, Webinar, Free lunch? What allows us to learn from data?, September 2018
University of Exeter, Invited Talk, Composite Bayesian Modelling, May 2018
Imperial College London, Invited Talk, Data efficient and interpretable machine learning, April 2018
Siemens, Munich, Gaussian Processes - Recent advances, March 2018
Vicarious, Invited Talk, Bayesian non-parametrics and priors over functions, February 2018
University of Bath, Invited Talk, Data efficient and interpretable machine learning, January 2018
University of Sheffield, Invited Talk, Factorised Gaussian Processes, June 2017
Gaussian Process Approximation Workshop, Berlin, Latent Gaussian Process Regression, May 2017
European Robotic Forum, Edinburgh, Learning in Robotics, April 2017
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
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

Summer School: A Second Introduction to Gaussian Processes at the Gaussian Process Summer School, September 2022
Summer School: Unsupervised Learning and Deep Gaussian Processes at the Gaussian Process Summer School, September 2021
Summer School: Unsupervised Learning and Deep Gaussian Processes at the Gaussian Process Summer School, September 2020
Summer School: Unsupervised Learning and Deep Gaussian Processes at the Gaussian Process Summer School, September 2019
Summer School: Unsupervised Learning using Gaussian Processes at the Gaussian Process Summer School, September 2018
Tutorial: Bayesian Modelling at Siemens Munich, March 2018
Tutorial: Bayesian Non-parametrics and Priors over Functions at Vicarious, November 2018
Tutorial: Bayesian Non-parametrics and Priors over Functions at Imperial College London, November 2017
Summer School: Unsupervised Learning using Gaussian Processes at the Gaussian Process and Uncertainty Quantification Summer School, September 2017
PhD course: Machine Learning: beliefs, models and inference, 15th Estonian Summer School on Computer and System Science, August 2017
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
Summer School: Feature Selection using GP-LVM’s Gaussian Process Summer School, University of Sheffield, September 2014
PhD course: Representation Learning, 2 day PhD level course, University of Aalborg, March 2014
Tutorial: Dimensionality Reduction, University of Oxford, July 2007

Public Engagement

Bending Spoons, Machine Learning, September 2019
Bending Spoons, Intelligent Machines?, August 2019
Ledarna, Articifiell Intelligens och Inlarning fran Data, April 2018
University of Bristol, AI, Media and our obsession with Data, March 2018
Unionen, Intelligent Machines, October, 2017
WiseIT, Articifiell Intelligens, June, 2017
WiseIT, Articifiell Intelligens, May, 2017
Partsrådet, Digitalisering, inlärning och värdet av information., April, 2017
Partsrådet, Artificial Intelligence and its implications on society and the labour market, 1 day course, September 2016
Partsrådet, Artificial Intelligence and its implications on society and the labour market, 1 day course, 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.