activity
20112017
most citedOn optimal entanglement assisted one-shot classical communication

5 citations · 11 across the 4 of their papers we have counts for

collaborators

8 papers

q-bio.NC2017

Global Brain Dynamics During Social Exclusion Predict Subsequent Behavioral Conformity

Nick Wasylyshyn, Brett Hemenway, Javier O. Garcia +6

Individuals react differently to social experiences; for example, people who are more sensitive to negative social experiences, such as being excluded, may be more likely to adapt…

cs.IT2017

Local List Recovery of High-rate Tensor Codes and Applications

Brett Hemenway, Noga Ron-Zewi, Mary Wootters

In this work, we give the first construction of high-rate locally list-recoverable codes. List-recovery has been an extremely useful building block in coding theory, and our motiva…

cs.CR2016

Cryptographic applications of capacity theory: On the optimality of Coppersmith's method for univariate polynomials

Ted Chinburg, Brett Hemenway, Nadia Heninger +1

We draw a new connection between Coppersmith's method for finding small solutions to polynomial congruences modulo integers and the capacity theory of adelic subsets of algebraic c…

cs.IT2015

Linear-time list recovery of high-rate expander codes

Brett Hemenway, Mary Wootters

We show that expander codes, when properly instantiated, are high-rate list recoverable codes with linear-time list recovery algorithms. List recoverable codes have been useful rec…

q-fin.CP2015

Sensitivity and Computational Complexity in Financial Networks

Brett Hemenway, Sanjeev Khanna

Modern financial networks exhibit a high degree of interconnectedness and determining the causes of instability and contagion in financial networks is necessary to inform policy an…

cs.IT2013★ 1 cited

Local Correctability of Expander Codes

Brett Hemenway, Rafail Ostrovsky, Mary Wootters

In this work, we present the first local-decoding algorithm for expander codes. This yields a new family of constant-rate codes that can recover from a constant fraction of errors…