Mon, 16 Nov 2026

15:30 - 16:30
L3

On fraudulent stochastic algorithms

Laurent Miclo
(Abraham de Moivre International Research Laboratory Imperial College London and CNRS)
Abstract
We introduce and analyse the almost sure convergence of a stochastic algorithm for the global minimisation of smooth functions. This diffusion process is called fraudulent because it requires the knowledge of minimal value of the function. Nevertheless, its investigation is not without interest, since in particular it appears as the limit behaviour of non-fraudulent and time-inhomogeneous swarm mean-field algorithms for global optimisation or in stochastic gradient descent algorithms in over-parametrised deep learning applications. 
 
The talk is based on collaborations with Benaïm, Bolte and Villeneuve.
Thu, 03 Dec 2026
17:00
L3

Truth, proof, and AI: AI and the V challenge

Hugh Woodin
(Harvard)
Abstract
AI systems have become very good at proving theorems with recent successes far beyond what was envisioned as possible even just 2 years ago. This in the last month has included theorems even in Set Theory (where the training data is far more limited). But the Universe of Sets, V, presents a unique challenge for AI.
Thu, 22 Oct 2026
17:00
L3

Binding group construction in model theory and category theory

Ivan Tomasic
(Queen Mary University, London)
Abstract

The model-theoretic construction of the binding group in the presence of internality has proven to be one of the most important group existence theorems. It saw numerous applications, including those in differential Galois theory, envisaged by Poizat, and pursued by Pillay in his generalisation of the strongly normal theory of Kolchin.

We show how to view the binding group construction as an instance of Janelidze's categorical Galois theory. This allows us to apply it in areas beyond model theory, for example to the scheme-theoretic treatment of Pillay's differential Galois theory.

We will discuss connections with Hrushovski’s work on groupoids.

Thu, 19 Nov 2026
17:00
L3

TBA

Jochen Koenigsmann
(Mathematical Institute, University of Oxford)
Thu, 12 Nov 2026
17:00
L3

Affine logic and the geometry of simplices of invariant measures

Tomás Ibarlucía
(IMJ-PRG, Université de Paris)
Abstract

I will discuss an application to probability theory (more precisely, to the theory of exchangeable random variables) of recent developments in affine logic, the fragment of continuous logic in which only affine connectives are allowed.

An affine theory is simplicial if its type spaces, which are always compact convex sets, form Choquet simplices. A remarkable dichotomy holds: for a complete simplicial theory, either all type spaces are Bauer simplices (i.e., the set of extreme points is closed) or they are all Poulsen simplices (i.e., the extreme points are dense).

On the other hand, simplices of invariant measures arising in ergodic theory and probability theory can be represented as *quantifier-free* type spaces of appropriate universal affine theories. I will discuss a quantifier-free adaptation of the dichotomy result mentioned above and its application to the geometry of certain simplices of invariant measures arising in exchangeability theory. Relative property (T) for Polish groups will play an important role.

Thu, 05 Nov 2026
17:00
L3

The Kővári-Sós-Turán theorem for stable hypergraphs

Aristomenis Papadopoulos
(Cambridge University)
Abstract
If you are even remotely combinatorially inclined, you will probably have heard of (and care about) the following question: "Given a graph G on n vertices which does not contain K_{2,2} as a subgraph, what is the maximum number of edges (as a function of n) G can have?” The first (and still relevant) answer to this question is “O(n^{3/2})” and was given by the Kővári-Sós-Turán theorem. In my talk, I will present a proof of a stronger version of the classical Kővári-Sós-Turán theorem for (model-theoretically) stable hypergraphs, but you probably already guessed that from the title. The proof will not go via the regularity lemma, but will instead be based on a coarse pseudofinite dimension argument, possibly of independent interest.
Mon, 19 Oct 2026

15:30 - 16:30
L3

Strong and weak approximation of the Lévy-driven stochastic heat equation on the sphere

Verena Schwarz
((Mathematical Institute University of Oxford))
Abstract

In this talk, we study the numerical approximation of the stochastic heat equation on the sphere driven by an additive Lévy process. For this, we first prove new regularity results for the solution of the stochastic heat equation under different regularity assumptions on the initial value and driving Lévy process. In these settings, we perform a spectral approximation based on the truncation of the series expansion with respect to the real-valued spherical harmonic functions. Further, we apply a forward resp. backward Euler-Maruyama scheme for the temporal approximation. We prove strong and weak convergence rates for the introduced approximation scheme and present numerical simulations that confirm our theoretical results.

This is joint work with Annika Lang and Andrea Papini.

Mon, 23 Nov 2026

15:30 - 16:30
L3

Around confined planar Coulomb gases

Fredrik Viklund
(KTH Royal Institute of Technology)
Abstract

I will discuss probabilistic and analytic aspects of two-dimensional Coulomb gases confined to Jordan domains, curves, and arcs. In particular, I will describe the asymptotic behavior of particle distributions as the number of particles tends to infinity. I will also explain how the Loewner energy and related quantities arise in the asymptotic expansion of the free energy. A key analytical tool throughout is the Grunsky operator. 

 

The talk is based on joint works with Kurt Johansson.

Mon, 12 Oct 2026

15:30 - 16:30
L3

Fluctuations for mean field limits of singular interacting particle systems driven by fBm

Lucio Galeati
(University of L'Aquila)
Abstract
We consider a system of $N$ particles, subject to a mean-field type pairwise interaction kernel $K$, each driven by an independent fractional Brownian motion (idiosyncratic noises). Previous works established that, for a large class of non-Lipschitz, possibly singular kernels, the associated McKean-Vlasov equation is well-posed, and the empirical measure converges to its law as $N\to\infty$, with rate of order $N^{-1/2}$ in suitable negative Sobolev norms. In this talk I will present results concerning the Gaussian fluctuations underlying this mean field convergence, validating the optimality of this rate; they are valid for both first order interactions and for kinetic systems. In the Brownian case, the Gaussian limit field can be identified as the solution to a linear SPDE. The proofs are based on the use of Girsanov transform and the method of U-statistics first introduced by Sznitman.
Based on ongoing joint work with Avi Mayorcas (Bath) and Johanna Weinberger (MPI Leipzig).
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