The Superconformal Gaugings in Three Dimensions

We show how three-dimensional superconformal theories for any number N <= 8 of supersymmetries can be obtained by taking a conformal limit of the corresponding three-dimensional gauged supergravity models. The superconformal theories are characterized by an embedding tensor that satisfies a linear and quadratic constraint. We analyze these constraints and give the general solutions for all cases. We find new N = 4,5 superconformal theories based on the exceptional Lie superalgebras F(4), G(3) and D(2|1;\alpha). Using the supergravity connection we discuss which massive deformations to expect. As an example we work out the details for the case of N = 6 supersymmetry.Comment: 22 pages; v2: refs. added, minor corrections, version published in JHE

Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information

Zero-sum stochastic games provide a rich model for competitive decision making. However, under general forms of state uncertainty as considered in the Partially Observable Stochastic Game (POSG), such decision making problems are still not very well understood. This paper makes a contribution to the theory of zero-sum POSGs by characterizing structure in their value function. In particular, we introduce a new formulation of the value function for zs-POSGs as a function of the "plan-time sufficient statistics" (roughly speaking the information distribution in the POSG), which has the potential to enable generalization over such information distributions. We further delineate this generalization capability by proving a structural result on the shape of value function: it exhibits concavity and convexity with respect to appropriately chosen marginals of the statistic space. This result is a key pre-cursor for developing solution methods that may be able to exploit such structure. Finally, we show how these results allow us to reduce a zs-POSG to a "centralized" model with shared observations, thereby transferring results for the latter, narrower class, to games with individual (private) observations

Variational Multi-Objective Coordination

In this paper, we propose variational optimistic linear support (VOLS), a novel algorithm that finds bounded approximate solutions for multi-objective coordination graphs (MO-CoGs). VOLS builds and improves upon an existing exact algorithm called variable elimination linear support (VELS). Like VELS, VOLS solves a MO-CoG as a series of scalarized single-objective coordination graphs. We improve upon VELS in two important ways. Firstly, where VELS uses a single-objective solver called variable elimination (VE) as a subroutine, VOLS uses a variational method called weighted mini-buckets (WMB). Because variational methods scale much better than VE, VOLS can be used to solve much larger MO-CoGs than was previously possible. Furthermore, we show that because WMB computes bounded approximations, so does VOLS. Secondly, we leverage the insight that VOLS can hot-start each call to WMB by reusing the reparameterizations output by WMB on earlier calls. We show empirically that VOLS scales much better than VELS and introduces only negligle error. Our experimental results indicate that the reuse of reparameterizations keeps the runtime low and the approximation quality high

Laplacian-Steered Neural Style Transfer

Neural Style Transfer based on Convolutional Neural Networks (CNN) aims to synthesize a new image that retains the high-level structure of a content image, rendered in the low-level texture of a style image. This is achieved by constraining the new image to have high-level CNN features similar to the content image, and lower-level CNN features similar to the style image. However in the traditional optimization objective, low-level features of the content image are absent, and the low-level features of the style image dominate the low-level detail structures of the new image. Hence in the synthesized image, many details of the content image are lost, and a lot of inconsistent and unpleasing artifacts appear. As a remedy, we propose to steer image synthesis with a novel loss function: the Laplacian loss. The Laplacian matrix ("Laplacian" in short), produced by a Laplacian operator, is widely used in computer vision to detect edges and contours. The Laplacian loss measures the difference of the Laplacians, and correspondingly the difference of the detail structures, between the content image and a new image. It is flexible and compatible with the traditional style transfer constraints. By incorporating the Laplacian loss, we obtain a new optimization objective for neural style transfer named Lapstyle. Minimizing this objective will produce a stylized image that better preserves the detail structures of the content image and eliminates the artifacts. Experiments show that Lapstyle produces more appealing stylized images with less artifacts, without compromising their "stylishness".Comment: Accepted by the ACM Multimedia Conference (MM) 2017. 9 pages, 65 figure

Ischaemic heart disease in Turkish migrants with type 2 diabetes mellitus in The Netherlands: wait for the next generation?

OBJECTIVE: To study the prevalence of ischaemic heart disease in Turkish and Surinam-Asian migrants with type 2 diabetes mellitus in the Netherlands as compared with Europeans. METHODS: In a consecutive case-control study, 59 Turkish and 62 Surinam-Asian patients were compared with 185 Europeans referred to a diabetes clinic for treatment of type 2 diabetes in the period 1992 to 1998. Main outcome measures were ischaemic heart disease and its associated risk factors. RESULTS: The prevalence of ischaemic heart disease was lower (9%) in the Turks (p < 0.02), but higher (29%) in the Surinam-Asians compared with the Europeans (23%). The Turks (52 +/- 10 years) and Surinam-Asians (46 +/- 12 years) were younger than the Europeans (64 +/- 11 years, p < 0.001). Body mass index was 32 +/- 5 (p < 0.001) in the Turks, 27 +/- 5 in the Surinam-Asians (p < 0.05) and 29 +/- 5 in the Europeans. Turkish patients smoked less (23%, p < 0.05) and used less alcohol (4%, p < 0.05) than the Europeans. Proteinuria was found in 24% of the Turks (p < 0.05), 37% of the Surinam-Asians (NS) and 46% of the Europeans. In univariate analysis ischaemic heart disease was related to Turkish origin, OR 0.34 (0.14-0.83) p < 0.02, to Surinam-Asian origin, OR 1.84 (1.00-3.38) p = 0.05, and smoking, OR 1.78 (1.18-2.68) p < 0.01. Other variables were not related to ischaemic heart disease. Multivariate analysis in a model with ethnicity and smoking showed significant relations between ischaemic heart disease and Turkish ethnicity, OR 0.19 (0.06-0.65) p = 0.007, Surinam-Asian origin, OR 2.77 (1.45-5.28) p = 0.002, and smoking, OR 1.79 (1.20-2.66) p = 0.004. CONCLUSION: Type 2 diabetes mellitus in different ethnic groups results in a significant difference in incidence of ischaemic heart disease. The most remarkable finding is a low incidence of ischaemic heart disease in the Turkish patients with type 2 diabetes, independent of smoking. The high prevalence of ischaemic heart disease in young migrant Asians with diabetes is confirmed

How to play two-players restricted quantum games with 10 cards

We show that it is perfectly possible to play 'restricted' two-players, two-strategies quantum games proposed originally by Marinatto and Weber having as the only equipment a pack of 10 cards. The 'quantum board' of such a model of these quantum games is an extreme simplification of 'macroscopic quantum machines' proposed by one of the authors in numerous papers that allow to simulate by macroscopic means various experiments performed on two entangled quantum objectsComment: 4 pages, 3 figure