activity
20142017
most citedImproving Automated Patent Claim Parsing: Dataset, System, and Experiments

9 citations · 46 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IT2017

A Framework for Rate Efficient Control of Distributed Discrete Systems

Jie Ren, Solmaz Torabi, John MacLaren Walsh

A key issue in the control of distributed discrete systems modeled as Markov decisions processes, is that often the state of the system is not directly observable at any single loc…

cs.IT2017

On Multi-source Networks: Enumeration, Rate Region Computation, and Hierarchy

Congduan Li, Steven Weber, John MacLaren Walsh

Recent algorithmic developments have enabled computers to automatically determine and prove the capacity regions of small hypergraph networks under network coding. A structural the…

cs.IT2016★ 8 cited

Explicit Polyhedral Bounds on Network Coding Rate Regions via Entropy Function Region: Algorithms, Symmetry, and Computation

Jayant Apte, John MacLaren Walsh

Automating the solutions of multiple network information theory problems, stretching from fundamental concerns such as determining all information inequalities and the limitations…

cs.CL2016★ 9 cited

Improving Automated Patent Claim Parsing: Dataset, System, and Experiments

Mengke Hu, David Cinciruk, John MacLaren Walsh

Off-the-shelf natural language processing software performs poorly when parsing patent claims owing to their use of irregular language relative to the corpora built from news artic…

cs.IT2016★ 5 cited

Constrained Linear Representability of Polymatroids and Algorithms for Computing Achievability Proofs in Network Coding

Jayant Apte, John MacLaren Walsh

The constrained linear representability problem (CLRP) for polymatroids determines whether there exists a polymatroid that is linear over a specified field while satisfying a colle…

cs.IT2015★ 2 cited

Mapping the Region of Entropic Vectors with Support Enumeration & Information Geometry

Yunshu Liu, John MacLaren Walsh

The region of entropic vectors is a convex cone that has been shown to be at the core of many fundamental limits for problems in multiterminal data compression, network coding, and…