Andrea Agazzi
University of Bern
3rd Workshop onGradient Flows for Sampling, Inference, and Learning
Imperial College London, South Kensington Campus
–
- Organisers
- O. Deniz Akyildiz · Louis Sharrock · Grigorios A. Pavliotis
- With support from
-
2026 / Confirmed
Confirmed speakers.
Meet the researchers joining us in London this November. More speakers will be added as invitations are accepted.
Francesca Crucinio
University of Turin
Andrew Duncan
Imperial College London
Anna Korba
ENSAE Paris / CREST
Pierre Monmarché
Université Gustave Eiffel
Sebastian Reich
University of Potsdam
Claudia Schillings
Freie Universität Berlin
André Schlichting
University of Ulm
Anna Shalova
University of Amsterdam
Eric Vanden-Eijnden
New York University
Marie-Therese Wolfram
University of Warwick
Olivier Zahm
Inria / Université Grenoble Alpes
2026 / Venue
2026 information.
The workshop will take place at 170 Queen’s Gate, an elegant Victorian venue in South Kensington for meetings, seminars and conferences.
Registration Information will be made available soon.
Past events / 01—02
Previous editions.
Two editions have already brought together the community around continuous dynamics, probabilistic inference and machine learning.
Edition 022025
2nd Workshop on Gradient Flows for Sampling, Inference, and 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
- Sahani Pathiraja
- Rocco Caprio
- Anna Korba
- Paula Cordero Encinar
- Arthur Gretton
- Jonas Latz
Edition 012023
1st Workshop on Gradient Flows for Sampling, Inference, and Learning
The inaugural one-day workshop connected continuous dynamics with Bayesian posterior sampling, variational inference, generative modelling and deep-learning optimisation.
Speakers
- Nikolas Nüsken
- Alessandro Barp
- Anna Korba
- Song Liu
- Francesca Crucinio
- Qiang Liu