Nick Taubert

According to our database1, Nick Taubert authored at least 11 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
The contribution of dynamics to macaque body and face patch responses.
NeuroImage, April, 2023

Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition.
CoRR, 2023

Neurodynamical Model of the Visual Recognition of Dynamic Bodily Actions from Silhouettes.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2021
Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Physiologically-Inspired Neural Circuits for the Recognition of Dynamic Faces.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2017
Modeling of Coordinated Human Body Motion by Learning of Structured Dynamic Representations.
Proceedings of the Geometric and Numerical Foundations of Movements, 2017

2014
Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models.
Proceedings of the ACM Symposium on Applied Perception 2013, 2013

2012
Online simulation of emotional interactive behaviors with hierarchical Gaussian process dynamical models.
Proceedings of the ACM Symposium on Applied Perception 2012, 2012

2011
Shaking Hands in Latent Space - Modeling Emotional Interactions with Gaussian Process Latent Variable Models.
Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011


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