We consider opportunistic communications over multiple channels where the state ("good" or "bad") of each channel evolves as independent and identica…

We consider the problem of detecting robotic grasps in an RGB-D view of a scene containing objects. In this work, we apply a deep learning approach t…

This paper studies adaptive sensing for estimating the nonzero amplitudes of a sparse signal with the aim of providing analytical guarantees on the p…

We consider the eigenvalues and eigenvectors of finite, low rank perturbations of random matrices. Specifically, we prove almost sure convergence of …

This paper presents a new Bayesian spectral unmixing algorithm to analyse remote scenes sensed via sparse multispectral Lidar measurements. To a firs…

This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging application…

The goal of sentence and document modeling is to accurately represent the meaning of sentences and documents for various Natural Language Processing …

Incorporating spatial information into hyperspectral unmixing procedures has been shown to have positive effects, due to the inherent spatial-spectra…

We present a method for learning intrinsic reward functions to drive the learning of an agent during periods of practice in which extrinsic task rewa…

We have shown conditions under which GCNs are information-theoretically capable/incapable of distinguishing between sufficiently well-separated graphons.

Graph convolutional networks (GCNs) are a widely used method for graph representation learning. We investigate the power of GCNs, as a function of th…

We consider the classical multi-armed bandit problem with Markovian rewards. When played an arm changes its state in a Markovian fashion while it rem…

Suppose that $m$ senders want to transmit classical information to $n$ receivers with zero probability of error using a noisy multipartite communicat…

A nuclear fuel cycle contains several facilities with different purposes such as mining, conversion, enrichment, and fuel rod fabrication. These faci…

A single-letter achievable rate region is proposed for the two-receiver discrete memoryless broadcast channel with generalized feedback. The coding s…

Energy minimization of Ising spin-glasses has played a central role in statistical and solid-state physics, facilitating studies of phase transitions…

Consider a pair of correlated Gaussian sources (X1,X2). Two separate encoders observe the two components and communicate compressed versions of their…

Combinatorial network optimization algorithms that compute optimal structures taking into account edge weights form the foundation for many network p…

We consider estimation of a sparse parameter vector that determines the covariance matrix of a Gaussian random vector via a sparse expansion into kno…

We address the problem of learning to benchmark the best achievable classifier performance. In this problem the objective is to establish statistical…

This paper seeks insight into stabilization mechanisms for periodic walking gaits in 3D bipedal robots. Based on this insight, a control strategy bas…

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