The metasurface concept has emerged as an advantageous reconfigurable antenna architecture for beam forming and wavefront shaping, with applications …

There is often wide interest in studying how the distribution of a continuous response changes with a predictor. We are motivated by environmental ap…

The aim of this article is to introduce a reporting framework for reproducible, interactive research applied to Big Clinical Data, based on open sour…

We develop a framework and methodology for causal inference with linked data. In particular, we describe conceptually how errors in linking can impac…

We propose a new encoder-decoder approach to learn distributed sentence representations that are applicable to multiple purposes. The model is learne…

We present a syntax-infused variational autoencoder (SIVAE), that integrates sentences with their syntactic trees to improve the grammar of generated…

We present a study of a graphene-based Josephson junction with dedicated side gates carved from the same sheet of graphene as the junction itself. Th…

In a variety of application areas, there is a growing interest in analyzing high dimensional sparse count data, with sparsity exhibited by an over-ab…

We introduce a multiscale supervised dimension reduction method for SPatial Interaction Network (SPIN) data, which consist of a collection of spatial…

This paper describes a coded aperture and keyed exposure approach to compressive video measurement which admits a small physical platform, high photo…

Models for predicting the time of a future event are crucial for risk assessment, across a diverse range of applications. Existing time-to-event (sur…

An upper bound on the feedback capacity of unifilar finite-state channels (FSCs) is derived. A new technique, called the $Q$-contexts, is based on a …

Mode connectivity is a surprising phenomenon in the loss landscape of deep nets. Optima---at least those discovered by gradient-based optimization---…

We provide a finite sample inference method for the structural parameters of a semiparametric binary response model under a conditional median restri…

We analyze the recent LHCb measurement of the distribution of the fraction of the transverse momentum, $z(J/\psi)$, carried by the $J/\psi$ within a …

In x-ray coherent scatter tomography, tomographic measurements of the forward scatter distribution are used to infer scatter densities within a volum…

We have developed a tunable colloidal system and a corresponding simulation model for studying the phase behavior of particles assembling under the i…

Based on thermodynamic principles, we derive expressions quantifying the non-harmonic vibrational behavior of materials, which are rigorous yet easil…

This paper develops methodology for local sensitivity analysis based on directional derivatives associated with spatial processes. Formal gradient an…

Many applications have benefited remarkably from low-dimensional models in the recent decade. The fact that many signals, though high dimensional, ar…

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