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Martin Schoeberl

4 papers hereh-index 334.1k citations226 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.PF1
  • cs.PL1
  • cs.SD1
  • cs.SE1
same name
  • Martin Schoeberl — 2 papers, h 6
  • Martin Schoeberl — 1 paper, h 3

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
20212023
most citedDynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting

7 citations · 9 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SD2023★ 7 cited

Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting

Riccardo Miccini, Alaa Zniber, Clément Laroche +6

Although deep learning has made strides in the field of deep noise suppression, leveraging deep architectures on resource-constrained devices still proved challenging. Therefore, w…

cs.PF2022

Towards Comparing Performance of Algorithms in Hardware and Software

Maja H. Kirkeby, Martin Schoeberl

In this paper, we report on a preliminary investigation of the potential performance gain of programs implemented in field-programmable gate arrays (FPGAs) using a high-level langu…

cs.SE2022★ 1 cited

Energy Consumption and Performance of Heapsort in Hardware and Software

Maja H. Kirkeby, Thomas Krabben, Mathias Larsen +5

In this poster abstract we will report on a case study on implementing the Heapsort algorithm in hardware and software and comparing their time and energy consumption. Our experime…

cs.PL2021★ 1 cited

Open-Source Verification with Chisel and Scala

Andrew Dobis, Tjark Petersen, Kasper Juul Hesse Rasmussen +5

Performance increase with general-purpose processors has come to a halt. We can no longer depend on Moore's Law to increase computing performance. The only way to achieve higher pe…

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