ICANN 2023

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) …
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Clarifying the Half Full or Half Empty Question: Multimodal Container Classification
Multimodal integration is a key component of allowing robots to perceive the world. Multimodality comes with multiple challenges that …
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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 …
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QuasiNet: a Neural Network with Trainable Product Layers
TBD
Robot at the Mirror: Learning to Imitate via Associating Self-Supervised Models
TBD
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, …
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