Encoding data as a set of unordered strings is receiving great attention...
The von Neumann Computer Architecture has a distinction between
computat...
One of the main challenges in developing racetrack memory systems is the...
Neural gates compute functions based on weighted sums of the input varia...
Consider multiple experts with overlapping expertise working on a
classi...
The trace reconstruction problem studies the number of noisy samples nee...
Varying domains and biased datasets can lead to differences between the
...
A method for encoding information in DNA sequences is described. The met...
Deep Neural Networks (DNNs) are a revolutionary force in the ongoing
inf...
Data is one of the most important assets of the information age, and its...
Levenshtein introduced the problem of constructing k-deletion correcting...
In this paper, we study a model, which was first presented by Bunte and
...
Genomic evolution can be viewed as string-editing processes driven by
mu...
The interest in channel models in which the data is sent as an unordered...
We study random string-duplication systems, which we call Pólya string
m...
Construction of capacity achieving deletion correcting codes has been a
...
A stochastic flow network is a directed graph with incoming edges (input...