Full counting statistics in the transverse field Ising chain
Groha, S Essler, F Calabrese, P SciPost Physics volume 4 issue 6 (28 Jun 2018)
Thu, 18 Oct 2018
16:00
C5

Smooth Lagrangians in conical symplectic resolutions

Filip Zivanovic
(University of Oxford)
Abstract

Conical symplectic resolutions are one of the main objects in the contemporary mix of algebraic geometry and representation theory, 

known as geometric representation theory. They cover many interesting families of objects such as quiver varieties and hypertoric

varieties, and some simpler such as Springer resolutions. The last findings [Braverman, Finkelberg, Nakajima] say that they arise

as Higgs/Coulomb moduli spaces, coming from physics. Most of the gadgets attached to conical symplectic resolutions are rather

algebraic, such as their quatizations and $\mathcal{O}$-categories. We are rather interested in the symplectic topology of them, in particular 

finding smooth exact Lagrangians that appear in the central fiber of the (defining) resolution, as they are objects of the Fukaya category.

Stein operators, kernels and discrepancies for multivariate continuous
distributions
Mijoule, G Reinert, G Swan, Y
Thu, 21 Jun 2018
11:00
L3

Recent advances in nonlinear potential theory

Giuseppe Mingione
(Università di Parma)
Abstract

I am going to report on some developments in regularity theory of nonlinear, degenerate equations, with special emphasis on estimates involving linear and nonlinear potentials. I will cover three main cases: degenerate nonlinear equations, systems, non-uniformly elliptic operators. 

The correlated pseudomarginal method
Deligiannidis, G Doucet, A Pitt, M Journal of the Royal Statistical Society: Series B volume 80 issue 5 839-870 (29 Jul 2018)
Holomorphic quadratic differentials dual to Fenchel–Nielsen coordinates
Große, N Rupflin, M Annals of Global Analysis and Geometry volume 55 issue 3 479-507 (16 Apr 2019)
Maintenance of smart buildings using fault trees
Cauchi, N Anuarul Hoque, K Stoelinga, M Abate, A ACM Transactions on Sensor Networks volume 14 issue 3-4 (20 Dec 2018)

90% of the world’s data have been generated in the last five years. A small fraction of these data is collected with the aim of validating specific hypotheses. These studies are led by the development of mechanistic models focussed on the causality of input-output relationships. However, the vast majority of the data are aimed at supporting statistical or correlation studies that bypass the need for causality and focus exclusively on prediction.

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