2 citations · 2 across the 7 of their papers we have counts for
7 papers
A Three-Fluid Model of Dissipation at Surfaces in Superconducting Radiofrequency Cavities
Matthias Liepe Michelle M. Kelley, Sean Deyo, Nathan Sitaraman +4
Experiments on superconducting cavities have found that under large RF fields the quality factor can improve with increasing field amplitude, a so-called ``anti-Q slope.'' We numer…
A logical word embedding for learning grammar
Sean Deyo, Veit Elser
We introduce the logical grammar emdebbing (LGE), a model inspired by pregroup grammars and categorial grammars to enable unsupervised inference of lexical categories and syntactic…
A transparent approach to data representation
Sean Deyo, Veit Elser
We use a binary attribute representation (BAR) model to describe a data set of Netflix viewers' ratings of movies. We classify the viewers with discrete bits rather than continuous…
Solving a directed percolation inverse problem
Sean Deyo
We present a directed percolation inverse problem for diode networks: Given information about which pairs of nodes allow current to percolate from one to the other, can one find a…
Dissipation by surface states in superconducting RF cavities
Sean Deyo, Michelle Kelley, Nathan Sitaraman +5
Recent experiments on superconducting cavities have found that under large radio-frequency (RF) electromagnetic fields the quality factor can improve with increasing field amplitud…
Learning grammar with a divide-and-concur neural network
Sean Deyo, Veit Elser
We implement a divide-and-concur iterative projection approach to context-free grammar inference. Unlike most state-of-the-art models of natural language processing, our method req…
Avoiding Traps in Nonconvex Problems
Sean Deyo, Veit Elser
Iterative projection methods may become trapped at non-solutions when the constraint sets are nonconvex. Two kinds of parameters are available to help avoid this behavior and this…