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 Optimization" and will focus on theoretical and methodological challenges related to generative models and optimization, 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.
BOOK IN-PERSON ATTENDANCE https://acceleratinggenerativemodels.eventbrite.co.uk
BOOK ONLINE ATTENDANCE https://acceleratinggenerativemodelsonline.eventbrite.co.uk
Also, there is a call for challenges, see below for details:
The Alan Turing Institute Theory and Methods Challenge Fortnights in data science and AI 2023
We are delighted to announce that we are accepting applications for the third edition of the Theory and Methods Challenge Fortnights (TMCF). Deadline Monday 24 April 2023.
What is TMCF?
TMCF is a Turing initiative to support, stimulate and promote foundational research within the data science and artificial intelligence ecosystems. It is specifically designed to enable the Turing research community to both propose and select the research challenges to be tackled, and form and lead expert teams to do so.
The Alan Turing Institute will provide the resources to bring together experts from across the Turing University Network and external institutions worldwide to collaborate during two (multi-day) research events. Each event will focus on tackling a specific theoretical or methodological challenge that has the potential to impact data science and artificial intelligence at a fundamental level.
For more information about the call please visit the TMCF call webpage.
If you have any questions, please email tmcf@turing.ac.uk
Dr Deniz Akyildiz, Imperial and Professor Sotirios Sabanis, Edinburgh