Talks and presentations

• 29/05/2023: Geometric neural diffusion processes, Youth in High-Dimensions, ICTP, Trieste.
• 15/12/2022: Score-based Generative Models on Riemannian manifolds, Seminar on Advances in Probabilistic Machine Learning, Aalto University and ELLIS unit Helsinki.
• 8/12/2022: Score-based Generative Models on Riemannian manifolds, NeurIPS 2022 @ Cambridge Meet-up, University of Cambridge.
• 23/11/2022: Score-based Generative Models on Riemannian manifolds, CBL Research Talk, University of Cambridge.
• 16/11/2022: A tutorial on deep generative models [Session 1] [Session 2], Muframex Autumn school with CIMAT, Guanajuato, Mexico.
• 9/11/2022: A tutorial on (score-based) diffusion models, CBL reading group, University of Cambridge.
• 3/11/2022: Score-based Generative Models on Euclidean space and Riemannian manifolds, StatML CDT, University of Oxford + Imperial College London.
• 16/05/2022: Normalizing flows on manifolds, StatML CDT, University of Oxford + Imperial College London.
• 24/02/2021: Geometry and deep generative modelling, Data-centric engineering, The Alan Turing Institute, London.
• 07/05/2020: Riemannian continuous normalizing flows, Department of Statistics, Oxford.
• 13/04/2019: Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders, CoML Inria, Paris.
• 04/04/2018: Sampling and inference for discrete random probability measures in probabilistic programs, Amazon, Berlin.