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Related papers: Trace reconstruction of matrices and hypermatrices

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We consider an \emph{approximate} version of the trace reconstruction problem, where the goal is to recover an unknown string $s\in\{0,1\}^n$ from $m$ traces (each trace is generated independently by passing $s$ through a probabilistic…

Data Structures and Algorithms · Computer Science 2021-07-21 Diptarka Chakraborty , Debarati Das , Robert Krauthgamer

We consider the problem of reconstructing an undirected graph $G$ on $n$ vertices given multiple random noisy subgraphs or "traces". Specifically, a trace is generated by sampling each vertex with probability $p_v$, then taking the…

Information Theory · Computer Science 2025-08-01 Andrew McGregor , Rik Sengupta

In the trace reconstruction problem, an unknown bit string ${\bf x}\in\{0,1 \}^n$ is sent through a deletion channel where each bit is deleted independently with some probability $q\in(0,1)$, yielding a contracted string $\widetilde{\bf…

Probability · Mathematics 2019-06-10 Nina Holden , Russell Lyons

The goal of the trace reconstruction problem is to recover a string $x\in\{0,1\}^n$ given many independent {\em traces} of $x$, where a trace is a subsequence obtained from deleting bits of $x$ independently with some given probability…

Information Theory · Computer Science 2024-01-30 Kuan Cheng , Elena Grigorescu , Xin Li , Madhu Sudan , Minshen Zhu

Motivated by average-case trace reconstruction and coding for portable DNA-based storage systems, we initiate the study of \emph{coded trace reconstruction}, the design and analysis of high-rate efficiently encodable codes that can be…

Information Theory · Computer Science 2019-09-11 Mahdi Cheraghchi , Ryan Gabrys , Olgica Milenkovic , João Ribeiro

Tree trace reconstruction aims to learn the binary node labels of a tree, given independent samples of the tree passed through an appropriately defined deletion channel. In recent work, Davies, R\'acz, and Rashtchian used combinatorial…

Data Structures and Algorithms · Computer Science 2021-02-03 Tatiana Brailovskaya , Miklós Z. Rácz

In the trace reconstruction problem, one observes the output of passing a binary string $s \in \{0,1\}^n$ through a deletion channel $T$ times and wishes to recover $s$ from the resulting $T$ "traces." Most of the literature has focused on…

Information Theory · Computer Science 2024-11-05 Kayvon Mazooji , Ilan Shomorony

We study the trace reconstruction problem for spider graphs. Let $n$ be the number of nodes of a spider and $d$ be the length of each leg, and suppose that we are given independent traces of the spider from a deletion channel in which each…

Data Structures and Algorithms · Computer Science 2026-05-06 Alec Sun , William Yue

In the (deletion-channel) trace reconstruction problem, there is an unknown $n$-bit source string $x$. An algorithm is given access to independent traces of $x$, where a trace is formed by deleting each bit of~$x$ independently with…

Computational Complexity · Computer Science 2016-12-12 Anindya De , Ryan O'Donnell , Rocco Servedio

We study the problem of learning a node-labeled tree given independent traces from an appropriately defined deletion channel. This problem, tree trace reconstruction, generalizes string trace reconstruction, which corresponds to the tree…

Computational Complexity · Computer Science 2020-09-22 Sami Davies , Miklos Z. Racz , Cyrus Rashtchian

The {\em insertion-deletion channel} takes as input a binary string $x \in\{0, 1\}^n$, and outputs a string $\widetilde{x}$ where some of the bits have been deleted and others inserted independently at random. In the {\em trace…

Information Theory · Computer Science 2022-08-15 Ittai Rubinstein

We show that any $n$-bit string can be recovered with high probability from $\exp(\widetilde{O}(n^{1/5}))$ independent random subsequences.

Probability · Mathematics 2022-01-12 Zachary Chase

This paper considers the problem of inferring the structure of a network from indirect observations. Each observation (a "trace") is the unordered set of nodes which are activated along a path through the network. Since a trace does not…

Data Structures and Algorithms · Computer Science 2013-01-30 Vincent Gripon , Michael Rabbat

The trace reconstruction problem studies the number of noisy samples needed to recover an unknown string $\boldsymbol{x}\in\{0,1\}^n$ with high probability, where the samples are independently obtained by passing $\boldsymbol{x}$ through a…

Information Theory · Computer Science 2021-04-15 Jin Sima , Jehoshua Bruck

The network inference problem consists of reconstructing the edge set of a network given traces representing the chronology of infection times as epidemics spread through the network. This problem is a paradigmatic representative of…

Data Structures and Algorithms · Computer Science 2013-08-14 Bruno Abrahao , Flavio Chierichetti , Robert Kleinberg , Alessandro Panconesi

We introduce an algorithm for the uniform generation of infinite traces, i.e., infinite words up to commutation of some letters. The algorithm outputs on-the-fly approximations of a theoretical infinite trace, the latter being distributed…

Combinatorics · Mathematics 2025-05-27 Samy Abbes , Vincent Jugé

\emph{Population recovery} is the problem of learning an unknown distribution over an unknown set of $n$-bit strings, given access to independent draws from the distribution that have been independently corrupted according to some noise…

Data Structures and Algorithms · Computer Science 2019-04-12 Frank Ban , Xi Chen , Adam Freilich , Rocco A. Servedio , Sandip Sinha

Trace reconstruction considers the task of recovering an unknown string $x \in \{0,1\}^n$ given a number of independent "traces", i.e., subsequences of $x$ obtained by randomly and independently deleting every symbol of $x$ with some…

Probability · Mathematics 2022-03-16 Elena Grigorescu , Madhu Sudan , Minshen Zhu

The goal of trace reconstruction is to reconstruct an unknown $n$-bit string $x$ given only independent random traces of $x$, where a random trace of $x$ is obtained by passing $x$ through a deletion channel. A Statistical Query (SQ)…

Data Structures and Algorithms · Computer Science 2024-07-17 Xi Chen , Anindya De , Chin Ho Lee , Rocco A. Servedio

The population recovery problem asks one to recover an unknown distribution over $n$-bit strings given access to independent noisy samples of strings drawn from the distribution. Recently, Ban et al. [BCF+19] studied the problem where the…

Data Structures and Algorithms · Computer Science 2020-11-05 Shyam Narayanan