Selected Talks

Here are some slides from a selection of talks I've given at various conferences / workshops / seminars.

  • A Random Walk from Semi Supervised Learning to Neural Networks, Mathematical Foundations of AI, Queen Mary University, UK, December 2021. Slides.

  • Linearised Optimal Transport Distances, Dynamics and Discretization: PDEs, Sampling, and Optimization, Simons Programme on Geometric Methods in Optimization and Sampling, Berkeley, USA, October 2021. Slides.

  • Rates of Convergence for Cheeger Cuts on Point Clouds Via Isoperimetric Inequalities, IFIP TC7, Quito, Ecuador, August 2021. Slides.

  • Variational Problems in Machine Learning, VIT-AP University, India, August 2021. Slides.

  • Correcting the Bias in Laplacian Learning at Low Label Rates: From Laplace’s to Poisson’s Equation, HKBU Virtual Conference on Mathematics, Statistics and Data Science, Hong Kong, April 2021. Slides.

  • On the Number of Labels in Semi-Supervised Learning, Second Symposium on Machine Learning and Dynamical Systems, Fields Institute, Toronto, Canada, September 2020. Slides.

  • Linearised Transportation Lp Distances for Signals and Images, CCIMI Retreat, Peak District, UK, March 2019. Slides.

  • Discrete-To-Continuum Limits of p-Laplacian Regularisation in Semi Supervised Learning on Graphs, Emergence of Structures in Particle Systems: Mechanics, Analysis and Computation, Oberwolfach, Germany, October 2018. Slides.

  • Deep Limits of Neural Networks, CIA Group Meeting, Cambridge, UK, August 2018. Slides.

  • Transportation Lp Distances for Signals and Images, INI-SLB Workshop on Application of Optimal Transport, Cambridge, UK, October 2017. Slides.

  • Phase Transition Models on Graphs for Image Segmentation, SciCADE, Bath, UK, September 2017. Slides.

  • Large Data Limits for Graphical Models, Partial Differential Equations for Large Data, Warwick, UK, May 2017. Slides.

  • Convergence of the k-Means Method, Young Researchers in Mathematics, Warwick, UK, July 2014. Slides.