Robin Schirrmeister

According to our database1, Robin Schirrmeister authored at least 27 papers between 2015 and 2024.

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Bibliography

2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks.
CoRR, 2024

2023
Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning.
CoRR, 2023

2022
Deep Riemannian Networks for EEG Decoding.
CoRR, 2022

On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning.
CoRR, 2022

When less is more: Simplifying inputs aids neural network understanding.
CoRR, 2022

2020
Machine-learning-based diagnostics of EEG pathology.
NeuroImage, 2020

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing.
Robotics Auton. Syst., 2019

Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression.
Frontiers Neurorobotics, 2019

Deep Invertible Networks for EEG-based brain-signal decoding.
CoRR, 2019

2018
The role of robot design in decoding error-related information from EEG signals of a human observer.
CoRR, 2018

Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding.
CoRR, 2018

A framework for large-scale evaluation of deep learning for EEG.
CoRR, 2018

EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals.
CoRR, 2018

Generative Reversible Networks.
CoRR, 2018

Intracranial Error Detection via Deep Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Large-Scale Evaluation Framework for EEG Deep Learning Architectures.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Cross-Paradigm Pretraining of Convolutional Networks Improves Intracranial EEG Decoding.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Deep transfer learning for error decoding from non-invasive EEG.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology.
CoRR, 2017

Brain Responses During Robot-Error Observation.
CoRR, 2017

Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG.
CoRR, 2017

Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills.
Proceedings of the 2017 European Conference on Mobile Robots, 2017

2015
Compass-Based Navigation in Street Networks.
Proceedings of the Web and Wireless Geographical Information Systems, 2015

Automatic Extrapolation of Missing Road Network Data in OpenStreetMap.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015


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