Transcriptional regulatory networks are networks of genes and transcription factor proteins that determine the context-specific expression pattern of a gene, where a context could represent a time point, a spatial location or a combination of these. Although these networks are a key to accurate information processing and function in living …
*** William’s talk: Title: Secretary Problems with Convex Cost We consider online resource allocation problems where given a set of requests our goal is to select a subset that maximizes a value minus cost type of objective function. Requests are presented online in random order, and each request possesses an …
*** Atul’s talk: Title: The Least-Squares Invertible Constant-Q Spectrogram (LSICQS) and Its Application to Phase Vocoding Building on the idea of a constant-Q transform popularized by Judith Brown in the 1990’s, we will develop a constant-Q spectrogram representation which is invertible in a least-squares sense. We will see that the …
Although the network clustering literature has focused on undirected networks, many networks are directed. For example, communication networks contain asymmetric relationships, representing the flow of information from one person to another. This talk will (1) demonstrate that co-clustering, instead of clustering, is more natural for many directed graphs, (2) propose …
*** Philip Poon Title: Symmetry and spatiotemporal chaos with strong scale separation I will discuss the effect of a continuous symmetry on pattern formation in one spatial dimension. In particular, I will present a study of the Nikolaevskiy equation, a sixth-order PDE, which is a paradigmatic model for pattern dynamics …
Many inferential tasks, such as analyzing the functional connectivity of the brain via coactivation patterns or capturing the changing correlations amongst a set of assets for portfolio optimization, rely on modeling a covariance matrix whose elements evolve as a function of time. A number of multivariate heteroscedastic time series models …
Over time, the energy cost of computation has steadily fallen due to progressive advances predicted by Moore’s Law, while the energy cost of communication remains fundamentally limited by the signal power required to overcome noise and interference at the receiver. Across a diverse space of power-limited wireless devices, including sensor …
Many real-world phenomena can be represented by a spatio-temporal signal: where, when, and how much. Social media is a tantalizing data source for those who wish to monitor such signals. Unlike most prior work, we assume that the target phenomenon is known and we are given a method to count …
**** Ke Shen: Title: Enhanced Face Recognition using Message-Passing Algorithm Abstract: The goal of this project is to develop theories and algorithms to facilitate large-scale, unconstrained identity discovery, using images containing faces where the individuals belong to various social networks. By exploiting the contextual information from multiple photos and other …
What does the world look like at a trillion frames per second? Creative use of high-end laboratory equipment allows us to capture high resolution 2D videos of repetitive events with an effective time resolution of 2 picoseconds. In these videos, light moves less than one millimeter in each frame. The …