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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 2019Show all

4 papers · 1 filter

eess.SP2019

Channel Estimation in mmWave Hybrid MIMO System via Off-Grid Dirichlet Kernels

Chethan Kumar Anjinappa, You Zhou, Yavuz Yapici +2

In this paper, we tackle channel estimation in millimeter-wave hybrid multiple-input multiple-output systems by considering off-grid effects. In particular, we assume that spatial…

cs.IT2019

Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing

Hangjin Liu, You, Zhou +2

Nonlinear function estimation is core to modern machine learning applications. In this paper, to perform nonlinear function estimation, we reduce a nonlinear inverse problem to a l…

cs.IT2019

Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors

Yanting Ma, Cynthia Rush, Dror Baron

Approximate message passing (AMP) is a class of low-complexity, scalable algorithms for solving high-dimensional linear regression tasks where one wishes to recover an unknown sign…

cs.IT2019

An Analysis of State Evolution for Approximate Message Passing with Side Information

Hangjin Liu, Cynthia Rush, Dror Baron

A common goal in many research areas is to reconstruct an unknown signal x from noisy linear measurements. Approximate message passing (AMP) is a class of low-complexity algorithms…

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