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researcher

D. Baron

47 papers hereh-index 286.2k citations122 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author3
  • middle author20
  • last author22

Across the 46 of 47 papers where every author was matched, so the position is known.

fields
  • cs.IT38
  • eess.SP4
  • cs.CR1
  • cs.DC1
  • cs.LG1
  • q-bio.QM1
same name
  • D. Baron — 25 papers, h 17
  • D. Baron — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20082022
most citedCompressive Hyperspectral Imaging via Approximate Message Passing

93 citations · 524 across the 46 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.IT2017

Generalized Geometric Programming for Rate Allocation in Consensus

Ryan Pilgrim, Junan Zhu, Dror Baron +1

Distributed averaging, or distributed average consensus, is a common method for computing the sample mean of the data dispersed among the nodes of a network in a decentralized mann…

cs.IT2017★ 1 cited

Analysis of Approximate Message Passing with a Class of Non-Separable Denoisers

Yanting Ma, Cynthia Rush, Dror Baron

Approximate message passing (AMP) is a class of efficient algorithms for solving high-dimensional linear regression tasks where one wishes to recover an unknown signal β_0 from noi…

cs.IT2017★ 2 cited

An Overview of Multi-Processor Approximate Message Passing

Junan Zhu, Ryan Pilgrim, Dror Baron

Approximate message passing (AMP) is an algorithmic framework for solving linear inverse problems from noisy measurements, with exciting applications such as reconstructing images,…

cs.IT2017★ 1 cited

Multiprocessor Approximate Message Passing with Column-Wise Partitioning

Yanting Ma, Yue M. Lu, Dror Baron

Solving a large-scale regularized linear inverse problem using multiple processors is important in various real-world applications due to the limitations of individual processors a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.