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researcher

T. Bohnstingl

3 papers hereh-index 6351 citations11 works total

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

author position
  • first author3

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

fields
  • cs.LG1
  • cs.NE1
  • eess.AS1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedNeuromorphic Hardware learns to learn

55 citations · 62 across the 3 of their papers we have counts for

collaborators

3 papers

eess.AS2021

Towards efficient end-to-end speech recognition with biologically-inspired neural networks

Thomas Bohnstingl, Ayush Garg, Stanisław Woźniak +3

Automatic speech recognition (ASR) is a capability which enables a program to process human speech into a written form. Recent developments in artificial intelligence (AI) have led…

cs.LG2020★ 7 cited

Online Spatio-Temporal Learning in Deep Neural Networks

Thomas Bohnstingl, Stanisław Woźniak, Wolfgang Maass +2

Biological neural networks are equipped with an inherent capability to continuously adapt through online learning. This aspect remains in stark contrast to learning with error back…

cs.NE2019★ 55 cited

Neuromorphic Hardware learns to learn

Thomas Bohnstingl, Franz Scherr, Christian Pehle +2

Hyperparameters and learning algorithms for neuromorphic hardware are usually chosen by hand. In contrast, the hyperparameters and learning algorithms of networks of neurons in the…

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