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Marcus Michelen

32 papers hereh-index 9238 citations39 works total

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

author position
  • sole author2
  • first author12
  • middle author14
  • last author4

Across the 32 of 32 papers where every author was matched, so the position is known.

fields
  • math.PR17
  • math.CO9
  • cs.DS2
  • eess.SP1
  • math.CA1
  • math.MG1
same name
  • Marcus Michelen — 8 papers, h 3
  • Marcus Michelen — 8 papers, h 4
  • Marcus Michelen — 1 paper

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
20182026
most citedCentral limit theorems and the geometry of polynomials

16 citations · 27 across the 24 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

math.PR2021

Sums of random polynomials with differing degrees

Isabelle Kraus, Marcus Michelen, Sean O'Rourke

Let μ and ν be probability measures in the complex plane, and let p and q be independent random polynomials of degree n, whose roots are chosen independently from μ and…

eess.SP2021

Direct design of biquad filter cascades with deep learning by sampling random polynomials

Joseph T. Colonel, Christian J. Steinmetz, Marcus Michelen +1

Designing infinite impulse response filters to match an arbitrary magnitude response requires specialized techniques. Methods like modified Yule-Walker are relatively efficient, bu…

math.PR2021★ 1 cited

The singularity probability of a random symmetric matrix is exponentially small

Marcelo Campos, Matthew Jenssen, Marcus Michelen +1

Let A be drawn uniformly at random from the set of all n×n symmetric matrices with entries in {−1,1}. We show that \[ \mathbb{P}( \det(A) = 0 ) \leq e^{-cn},\] where…

math.PR2021

Anti-concentration of random variables from zero-free regions

Marcus Michelen, Julian Sahasrabudhe

This paper provides a connection between the concentration of a random variable and the distribution of the roots of its probability generating function. Let X be a random variab…

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