Systems | Information | Learning | Optimization
 

Computational Imaging — Breaking the limitations of conventional imaging designs

Video: https://vimeo.com/213227336 Abstract: The basic design of the camera — a lens and an imaging sensor — has remain unchanged for many centuries. While this design has been perfected for professional photography, there are many current and upcoming application domains where it is woefully inadequate. I will discuss three such …

Randomized Distributional Design for Bayesian Transfer Learning

Video: https://vimeo.com/215556154 We characterize the Bayesian transfer learning problem as one of conditioning on external stochastic knowledge, typically a partially or completely specified distribution. The knowledge is `external’ in that a joint probability model specifying the stochastic dependence on this knowledge is not available. In consequence, there is no unique …

Community Recovery on the Weighted Stochastic Block Model and Its Information-Theoretic Limits

Video: https://vimeo.com/215556012 Identifying communities in a network is an important problem in many fields, including social science, neuroscience, military intelligence, and genetic analysis. In the past decade, the Stochastic Block Model (SBM) has emerged as one of the most well-studied and well-understood statistical models for this problem. Yet, the SBM …

Parametrization of discrete optimization problems, subdeterminants and matrix-decomposition

Video: https://vimeo.com/216507007 The central goal of this talk is to identify parameters that explain the complexity of Integer linear programming defined as follows: Let P be a polyhedron. Determine an integral point in P that maximizes a linear function. It is obvious that the number of integer variables is such …

Digital humans, virtual surgery and fast fluids; do they have more in common than their hunger for performance?

Video: https://vimeo.com/217685407 Physics-based modeling research in graphics has been consistently conscious of advances in modern parallel hardware, leveraging new performance capabilities to improve the scope and scale of simulation techniques. An exciting consequence of such developments is that a number of performance-hungry emerging applications, including computer-aided healthcare and medical training, …