Previous Conferences & Workshops

Deep learning, a modern version of neural nets, is increasingly seen as a promising way to implement AI tasks such as speech recognition and image recognition. Most current algorithms are heuristic and have no provable guarantees. This talk will...

Let \(\chi\) be a primitive real character. We first establish a relationship between the existence of the Landau-Siegel zero of \(L(s,\chi)\) and the distribution of zeros of the Dirichlet \(L\)-function \(L(s,\psi)\), with \(\psi\) belonging to a...

In this lecture I will explain the moment-weight inequality, and its role in the proof of the Hilbert-Mumford numerical criterion for \(\mu\)-stability. The setting is Hamiltonian group actions on closed Kaehler manifolds. The major ingredients are...

Previous studies of kinetic transport in the Lorentz gas have been limited to cases where the scatterers are distributed at random (e.g. at the points of a spatial Poisson process) or at the vertices of a Euclidean lattice. In this talk I will...

After giving some motivation, we discuss the notion of symplectic form in derived algebraic geometry and explain how, in particular, it allows one to describe the local structure of moduli stacks of vector bundles on Calabi-Yau varieties in terms of...