State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
We consider the problem of finding a few representatives for a dataset, i.e., a subset of data points that efficiently describes the entire dataset. We assume that each data poi...
There has recently been considerable research on physical design tuning algorithms. At the same time, there is only one published methodology to evaluate the quality of different,...
We introduce a new implementation of a ternary adder with four inputs and two outputs. This ternary adder reduces the number of digits in a multiplication compared with a binary m...
We investigate the preservation of quality of service guarantees to a flow of packets in the presence of flow aggregation. For efficiency, multiple flows, known as the constituent...