This thesis investigates the problem of using surface microgeometry measurements to predict the reflectance of rough metal surfaces. Because light cannot penetrate much into metals, the observable reflectance of a metal ...

Galvanized by the accelerated pace and ease of data collection, researchers in more and more disciplines are turning to large, heterogeneous datasets to answer scientific questions. Divining insight from massive and complex ...

This thesis explores various two-party reconciliation problems from a theoretical perspective. We define a reconciliation problem to be one in which Alice and Bob each have some data, and their data is in some problem ...

Neuroscience is entering an exciting new age. Modern recording technologies enable simultaneous measurements of thousands of neurons in organisms performing complex behaviors. Such recordings offer an unprecedented opportunity ...

Entropy notions from information theory have many applications in cryptographic analyses and constructions, where it is most common to consider adversaries with only (polynomially) bounded computational power. Therefore, ...

The methods of artificial intelligence and statistical machine learning are finding tremendous success in various fields, with applications ranging from cancer screening to machine translation. However, continued improvement ...

Technology has always helped expand the range of musical expression, from the fortepiano to synthesizers to electronic sequencers. Could machine learning further extend human creativity? We explore three ways deep learning ...

As data sets grow and algorithms scale, two questions have become central to data-rich science. The first is the exploration question: how can we avoid only testing hypotheses consistent with current models and instead ...

Deep Neural Networks (DNNs) have achieved state-of-the-art performance across a variety of domains, including many natural language processing and computer vision tasks. Though DNNs span such a wide assortment of applications, ...

We increasingly rely on large, complex systems in our daily lives---from the computers that park our cars to the medical devices that regulate insulin levels to the servers that store our personal information in the cloud. ...