Imperial College London, South Kensington Campus
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Overview
Gradient flows give us a language for following distributions as they change. They connect the geometry of probability with practical questions in sampling, inference, optimisation and generative modelling.
The third workshop brings together researchers in statistics, machine learning and applied mathematics to examine both foundational questions and computational methods.
Past events / 01—02
Two editions have already brought together the community around continuous dynamics, probabilistic inference and machine learning.
A one-day exploration of gradient-flow approaches for sampling, inference and learning—from Langevin and Wasserstein dynamics to diffusion models, robustness and sequential Bayesian methods.
Speakers
The inaugural one-day workshop connected continuous dynamics with Bayesian posterior sampling, variational inference, generative modelling and deep-learning optimisation.
Speakers
2026 announcement
23–25 November 2026 at Imperial College London, South Kensington Campus. Registration and speaker information will be added here.
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