Videos
This page brings together selected resources from the Erlangen AI Hub, including seminars, workshops, training materials, and interviews with members of our community.
Seminars
Beyond Second Order Methods, Sum of Squares, Tensor Methods, and AI for Polynomial Optimization
Kate Wenqi Zhu, University of Oxford
A Topological Lens on Neural Networks
Qiquan Wang, QMUL
Numerically verified proofs aided by machine learning
Daniel Platt, Imperial College London
Geometry, Complexity, and Generalization in Learning Systems
Branton DeMoss, University of Oxford
Learning on graphs: expressivity challenges from graph pooling
Tristan Madeleine, University of Southampton
Estimating Intrinsic Dimensionality with L2N2
Eng-Jon Ong, QMUL
Computing Diffusion Geometry
Iolo Jones, University of Oxford
Riemannian Neural Optimal Transport
Alessandro Micheli, Imperial
Geometry of Loops on the Möbius Band
Ambrose Yim, University of Oxford
Singular Learning Theory & AI Safety
Jesse Hoogland, Timaeus
Linear orbits of compact Lie groups and machine learning
Raphaël Tinarrage, Institute of Science and Technology Austria
Markov α-Potential Games: A framework to study multi-agent reinforcement learning
Xinyu Li, University of Oxford
Geometric Deep Learning: Quo Vadimus?
Michael Bronstein, University of Oxford
How to control your stochastic system? A tale of abstraction and certificates
Thom Badings, University of Oxford
Around the equivariant world in 45 minutes
Edward Pearce-Crump, Imperial College London
Q&As
Q&A with Francesco Fabiano & Thom Badings
This PDRA interview offers a behind-the-scenes insight into how interdisciplinary research is advancing our understanding of decision making across complex real-world contexts.
Q&A with Professor Michael Bronstein
In this Researcher Spotlight Hub Director, and DeepMind Professor of Artificial Intelligence, Michael Bronstein, discusses the idea and vision behind the name of the Erlangen AI Hub.
Q&A with Professor Peter Grindrod
In this Researcher Spotlight Knowledge Exchange Lead and Co-Investigator Professor of Mathematics Peter Grindrod discusses the AI research landscape, and his motivations and vision for the Erlangen AI Hub.
Q&A with Professor Jeffrey Giansiracusa
In this spotlight, Hub Co-Director and Durham Lead Professor Jeffrey Giansiracusa reflects on the journey of the Erlangen Hub so far, its long-term impact, and finally the people, ideas and networks which shape it.