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University of Hamburg
CycleIK: Neuro-inspired Inverse Kinematics
The paper introduces CycleIK, a neuro-robotic approach that wraps two novel neuro-inspired methods for the inverse kinematics (IK) …
Jan-Gerrit Habekost
,
Erik Strahl
,
Philipp Allgeuer
,
Matthias Kerzel
,
Stefan Wermter
PDF
DOI
ICANN 2023
Neural Field Conditioning Strategies for 2D Semantic Segmentation
Neural fields are neural networks which map coordinates to a desired signal. When a neural field should jointly model multiple signals, …
Martin Gromniak
,
Sven Magg
,
Stefan Wermter
PDF
DOI
ICANN 2023
Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition
While Automatic Speech Recognition (ASR) models have shown significant advances with the introduction of unsupervised or …
Theresa Pekarek Rosin
,
Stefan Wermter
PDF
DOI
ICANN 2023
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