In this paper we consider an extension of the network model of [17] to include contingent payments viz. insurance and CDSs with endogeneous reference entities. We first study these contingent payments in a static framework and develop conditions to …
In this paper we study the implications of contingent payments on the clearing wealth in a network model of financial contagion. We consider an exten…
We report on a scale determination with gradient-flow techniques on the $N_f = 2 + 1 + 1$ HISQ ensembles generated by the MILC collaboration. The lat…
A feature selection algorithm should ideally satisfy four conditions: reliably extract relevant features; be able to identify non-linear feature inte…
We consider complex saddle points in QCD at finite temperature and density, which are constrained by symmetry under charge and complex conjugations. …
In the past decade, sparsity-driven regularization has led to advancement of image reconstruction algorithms. Traditionally, such regularizers rely o…
Support vector machines (SVM) can classify data sets along highly non-linear decision boundaries because of the kernel-trick. This expressiveness com…
The Hamiltonian for a PT-symmetric chain of coupled oscillators is constructed. It is shown that if the loss-gain parameter $\gamma$ is uniform for a…
Optical coherence tomography (OCT) can provide high-resolution cross-sectional images for analyzing superficial plaques in coronary arteries. Commonl…
PT-symmetric quantum mechanics began with a study of the Hamiltonian $H=p^2+x^2(ix)^\varepsilon$. When $\varepsilon\geq0$, the eigenvalues of this no…
The inspiration for this theoretical paper comes from recent experiments on a PT-symmetric system of two coupled optical whispering galleries (optica…
We propose a simple setup for the conversion of multipartite entangled states in a quantum network with restricted access. The scheme uses nonlocal o…
Recent interest has developed around the problem of dynamic compressed sensing, or the recovery of time-varying, sparse signals from limited observat…
Bayesian optimization is a powerful tool for fine-tuning the hyper-parameters of a wide variety of machine learning models. The success of machine le…
Graph structured data are abundant in the real world. Among different graph types, directed acyclic graphs (DAGs) are of particular interests to mach…
The DAMPE $e^+ e^-$ excess at around 1.4 TeV could be explained in the type-II seesaw model with a scalar dark mater $D$ which is stabilized by a dis…
Traditional methods for link prediction can be categorized into three main types: graph structure feature-based, latent feature-based, and explicit f…
This paper develops a multifidelity method that enables estimation of failure probabilities for expensive-to-evaluate models via information fusion a…
Ceria (CeO2) is a promising catalyst for the reduction of carbon dioxide (CO2) to liquid fuels and commodity chemicals, in part because of its high o…
Analogy completion has been a popular task in recent years for evaluating the semantic properties of word embeddings, but the standard methodology ma…
Three-dimensional x-ray CT image reconstruction in baggage scanning in security applications is an important research field. The variety of materials…
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