LMS-IMA Joint Meeting: The Mathematical Foundations of Artificial Intelligence - Online attendance

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LMS/IMA Joint Meeting 2023

The LMS is delighted to announce the 2023 LMS/IMA Joint Meeting on 'The Mathematical Foundations of Artificial Intelligence'. We welcome all who are interested to attend this event, with registration open both to LMS/IMA Members and to non-members.

Artificial Intelligence is a rapidly evolving field that is already having a great societal impact thanks to the unprecedented performance of deep neural networks and AI generative models. The technological success of AI is boosting research on the mathematical foundations of AI which builds on an already rich history of important mathematical results and encompasses many areas, including physics-inspired machine learning, statistical physics, Bayesian, deep, and reinforcement learning, among others.

The LMS/IMA Conference on The Mathematical Foundations of AI aims at bringing together top mathematicians and computer scientists working in both the academic and the private sectors to highlight key developments in the field. We foresee stimulating discussions and exchange of ideas on this exciting and fast-developing field that will contribute to changing the landscape of the field and shape future research directions.

Programme (all timings in BST)

Organising Committee; Ginestra Bianconi (Queen Mary University of London), James Davenport (University of Bath), András Juhász (University of Oxford).


Welcome and refreshments


Welcome from LMS and IMA


David Saad (Aston University)

The Space of Functions Computed by Deep-learning Networks


Michael Bronstein (University of Oxford)

Physics-inspired graph neural networks

13:30 LUNCH

Lisa Kreusser (University of Bath)

Differential equations for machine learning


Gitta Kutyniok (LMU München)

Reliable AI: Successes, Challenges, and Limitations

16:30 BREAK

Petar Veličković (DeepMind and University of Cambridge)

Capturing Computation with Algorithmic Alignment





October 13th, 2023 from 11:00 AM to  6:00 PM
Online, via Zoom (hosted by the LMS)
United Kingdom