4 citations · 6 across the 4 of their papers we have counts for
7 papers · 1 filter
Approximate Trace Reconstruction from a Single Trace
Xi Chen, Anindya De, Chin Ho Lee +2
The well-known trace reconstruction problem is the problem of inferring an unknown source string from independent "traces", i.e. copies of that have been corr…
Near-Optimal Average-Case Approximate Trace Reconstruction from Few Traces
Xi Chen, Anindya De, Chin Ho Lee +2
In the standard trace reconstruction problem, the goal is to \emph{exactly} reconstruct an unknown source string from independent "traces", which are cop…
Polynomial-time trace reconstruction in the low deletion rate regime
Xi Chen, Anindya De, Chin Ho Lee +2
In the \emph{trace reconstruction problem}, an unknown source string is transmitted through a probabilistic \emph{deletion channel} which independently deletes ea…
Polynomial-time trace reconstruction in the smoothed complexity model
Xi Chen, Anindya De, Chin Ho Lee +2
In the \emph{trace reconstruction problem}, an unknown source string is sent through a probabilistic \emph{deletion channel} which independently deletes each bit…
Efficient average-case population recovery in the presence of insertions and deletions
Frank Ban, Xi Chen, Rocco A. Servedio +1
Several recent works have considered the \emph{trace reconstruction problem}, in which an unknown source string is transmitted through a probabilistic channel which…
Beyond trace reconstruction: Population recovery from the deletion channel
Frank Ban, Xi Chen, Adam Freilich +2
\emph{Population recovery} is the problem of learning an unknown distribution over an unknown set of -bit strings, given access to independent draws from the distribution that h…