About the event

Generative models have dominated the AI scene with their impressive performance while their precise theoretical and algorithmic understanding is still unclear. This workshop will act as the follow-up workshop of the Theory and Methods Challenges Fortnight on "Accelerating Generative Models and Nonconvex Optimisation" and will focus on theoretical and methodological challenges related to generative models and optimisation, solutions to some of those challenges, and exciting future directions on the foundations of generative models. The workshop will also act as a vehicle for broad engagement with the Data Science and AI community worldwide on the theory and applications of generative models.

The event will have a mixture of talks and software demos that were developed by a team of researchers from around the world during the Theory and Methods Challenge Fortnight event that took place in June and September 2022.

International speakers that contributed to the TMCF challenge and others have been invited including Arnaud Doucet, Arnak Dalalyan and Emmanuel Gobet; please find the programme below.

This event will be delivered in hybrid format, there is a limit of 45 in-person tickets for this event. If you prefer to attend the event online please reserve your place here.

Please note the coffee and lunch will be provided, thus we require people attending in person to reserve their place by 16 March 2023.

Organisers:

Dr Deniz Akyildiz, Lecturer at Imperial College London, UK.

Professor Sotirios Sabanis, Turing Fellow and University of Edinburgh, UK and NTU Athens, Greece.

If you require further information please email tmcf@turing.ac.uk

Currently, there is a call for new challenges, more information on the call webpage.

This workshop is part of the AI UK 2023 Fringe Events hosted by The Alan Turing Institute.

Accelerating generative models and nonconvex optimisation (IN-PERSON)