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.