In this paper we develop a convergence analysis in an infinite dimensional setting of the Levenberg-Marquardt iteration for the solution of a hybrid …

We study an ordinary differential equation (ODE) arising as the many-server heavy-traffic fluid limit of a sequence of overloaded Markovian queueing …

A commonly shared component of antivirus suites is a local database of malware signatures that is used during the static analysis process. Despite po…

We show that a scalable photonic crystal nanocavity array, in which single embedded quantum dots are coherently interacting, can perform as an univer…

This paper studies the equilibrium price of an asset that is traded in continuous time between N agents who have heterogeneous beliefs about the stat…

Safety evaluation of autonomous vehicles is extensively studied recently, one line of studies considers Monte Carlo based evaluation. The Monte Carlo…

We consider the problem of functional matrix factorization, finding low-dimensional structure in a matrix where every entry is a noisy function evalu…

Robust tensor recovery plays an instrumental role in robustifying tensor decompositions for multilinear data analysis against outliers, gross corrupt…

The matrix rank minimization problem has applications in many fields such as system identification, optimal control, low-dimensional embedding, etc. …

Achieving high spatial resolution in contact sensing for robotic manipulation often comes at the price of increased complexity in fabrication and int…

Neurons and networks in the cerebral cortex must operate reliably despite multiple sources of noise. To evaluate the impact of both input and output …

Modern interactive visualizations are akin to distributed systems, where user interactions, background data processing, remote requests, and streamin…

Dual-phase liquid xenon (LXe) detectors lead the direct search for particle dark matter. Understanding the signal production process of nuclear recoi…

The classical picture of the force on a capacitor assumes a large density of electronic states, such that the electrochemical potential of charges ad…

Graham et al. (2015) discovered a supermassive black hole binary (SMBHB) candidate and identified the detected 5.2 yr period of the optical variabili…

Wearable orthoses can function both as assistive devices, which allow the user to live independently, and as rehabilitation devices, which allow the …

Stochastic Gradient Langevin Dynamics (SGLD) is a sampling scheme for Bayesian modeling adapted to large datasets and models. SGLD relies on the inje…

This paper studies the problem of passive grasp stability under an external disturbance, that is, the ability of a grasp to resist a disturbance thro…

We use numerical simulations to study the motion of a large asymmetric tracer immersed in a low density suspension of self-propelled nanoparticles in…

We introduce RWPI (Robust Wasserstein Profile Inference), a novel class of statistical tools which exploits connections between Empirical Likelihood,…

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