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researcher

M. Wess

3 papers here

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

author position
  • first author1
  • middle author1
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedLearning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors

10 citations · 10 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2021

ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models

Matthias Wess, Matvey Ivanov, Anvesh Nookala +3

With new accelerator hardware for DNN, the computing power for AI applications has increased rapidly. However, as DNN algorithms become more complex and optimized for specific appl…

cs.LG2021★ 10 cited

Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors

Lukas Baischer, Matthias Wess, Nima TaheriNejad

Deep neural networks (DNNs) have the advantage that they can take into account a large number of parameters, which enables them to solve complex tasks. In computer vision and speec…

eess.SP2018

Computer-Aided Arrhythmia Diagnosis by Learning ECG Signal

Sai Manoj Pudukotai Dinakarrao, Matthias Wess

Electrocardiogram (ECG) is one of the non-invasive and low-risk methods to monitor the condition of the human heart. Any abnormal pattern(s) in the ECG signal is an indicative meas…

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