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Reinhard Heckel

63 papers hereh-index 365.8k citations99 works total

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

author position
  • sole author4
  • first author24
  • middle author15
  • last author19

Across the 62 of 63 papers where every author was matched, so the position is known.

fields
  • cs.IT18
  • cs.LG17
  • eess.IV9
  • stat.ML8
  • cs.CV4
  • cs.DS2
same name
  • Reinhard Heckel — 7 papers, h 2
  • Reinhard Heckel — 6 papers, h 2
  • Reinhard Heckel — 4 papers, h 3
  • Reinhard Heckel — 2 papers, h 2
  • Reinhard Heckel — 1 paper, h 1

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
20112024
most citedDeep Decoder: Concise Image Representations from Untrained Non-convolutional Networks

181 citations · 702 across the 49 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.IT2016

Generalized Line Spectral Estimation via Convex Optimization

Reinhard Heckel, Mahdi Soltanolkotabi

Line spectral estimation is the problem of recovering the frequencies and amplitudes of a mixture of a few sinusoids from equispaced samples. However, in a variety of signal proces…

cs.LG2016★ 11 cited

Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help

Reinhard Heckel, Nihar B. Shah, Kannan Ramchandran +1

We consider sequential or active ranking of a set of n items based on noisy pairwise comparisons. Items are ranked according to the probability that a given item beats a randomly c…

cs.IT2016★ 26 cited

Super-Resolution MIMO Radar

Reinhard Heckel

A multiple input, multiple output (MIMO) radar emits probings signals with multiple transmit antennas and records the reflections from targets with multiple receive antennas. Estim…

cs.IR2016

Scalable and interpretable product recommendations via overlapping co-clustering

Reinhard Heckel, Michail Vlachos, Thomas Parnell +1

We consider the problem of generating interpretable recommendations by identifying overlapping co-clusters of clients and products, based only on positive or implicit feedback. Our…

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