The advent of micro and nanotechnology for interfacing with the nervous system has opened up a wide range of experimental platforms for getting information into and out of the living brain. This talk will provide an overview of the different approaches for recording and stimulating large numbers of neurons in …
Topological data analysis looks at data from a rather unique angle. Good news: it may provide additional information to traditional machine learning, hence benefiting downstream applications. Bad news: Let K be the social network over topologists and machine learners, then betti0(K)=2. Why this means they didn’t talk to each other …
This talk gives an introduction to a recently established link between the geometry of numbers and mixed integer linear optimization. The main focus is to provide a review of families of lattice-free polyhedra and their use in the context of deriving and explaining cutting planes for mixed integer programs. This …
We provide a high level overview of the information theoretic study of two-way networks. We start by introducing the capacity / capacity region of a channel / network, respectively. While we know the capacity of one-way point-to-point channels where there is one source and one destination, we do not know …