Past Events

Following a vaccine inoculation or disease exposure an immune response develops in time, where the description of its time evolution poses an interesting problem in dynamical systems. The principal goal of theoretical immunology is to construct...

In this talk, we will share a comparison of how well different search engines find relevant articles, focusing on nautical crimes. The project involved collecting and cleaning data, looking at how many articles each engine retrieved, when those...

In this talk we study interacting fermions on a discrete finite lattice subject to a homogeneous magnetic field at positive temperature. One prime example of such systems is the Hofstadter-Hubbard model. We show that the magnetization is equal to the...

Let Mat n × n ( C ) be the affine space of n × n complex matrices with coordinate ring C [ x n × n ] . We define graded quotients of C [ x n × n ] where each quotient ring carries a group action. These quotient rings are obtained by applying the...

Recently, Sherry et al. (2024) reconsidered the pioneering work of Dahlquist and Jeltsch (1979) on circle-contractivity for the study of neural networks. This theory can be used to analyse and improve the robustness of architectures that are devised...

For many optimization problems, we lack time-efficient algorithms; in many cases this is true even for "average-case" inputs from simple data models. To what extent can tools for complexity theory be adapted to this average-case setting? In this talk...

TBA

The classical McKay correspondence shows that there is a bijection between irreducible representations of finite subgroups GG of S L ( 2 , C )SL(2,C) and the exceptional divisors of the minimal resolution of the singularity C 2 / GC2/G. This is a...

A classical theorem of Birch and Merriman states that, for fixed n the set of integral binary n -ic forms with fixed nonzero discriminant breaks into finitely many G L 2 ( Z ) -orbits. In this talk, I’ll present several extensions of this finiteness...

Denoising Diffusion models have revolutionized generative modeling. Conceptually, these methods define a transport mechanism from a noise distribution to a data distribution. Recent advancements have extended this framework to define transport maps...