Robin Schirrmeister

According to our database, Robin Schirrmeister authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep learning for brain-signal decoding from electroencephalography.

Robin Tibor Schirrmeister

PhD thesis, 2024

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

Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White

CoRR, 2024

Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification.

Ann-Kathrin Kiessner, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball

Comput. Biol. Medicine, 2024

2023

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

Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball

CoRR, 2023

2022

Deep Riemannian Networks for EEG Decoding.

Daniel Wilson, Robin Tibor Schirrmeister, Lukas Alexander Wilhelm Gemein, Tonio Ball

CoRR, 2022

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

Diane Wagner, Fabio Ferreira, Danny Stoll, Robin Tibor Schirrmeister, Samuel Müller, Frank Hutter

CoRR, 2022

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

Robin Tibor Schirrmeister, Rosanne Liu, Sara Hooker, Tonio Ball

CoRR, 2022

2020

Machine-learning-based diagnostics of EEG pathology.

Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball

NeuroImage, 2020

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features.

Robin Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang

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.

Daniel Kuhner, Lukas Dominique Josef Fiederer, Johannes Aldinger, Felix Burget, Martin Völker, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard

Robotics Auton. Syst., 2019

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

Lukas Dominique Josef Fiederer, Martin Völker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball

Frontiers Neurorobotics, 2019

Deep Invertible Networks for EEG-based brain-signal decoding.

Robin Tibor Schirrmeister, Tonio Ball

CoRR, 2019

2018

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

Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball

CoRR, 2018

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

Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball

CoRR, 2018

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

Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball

CoRR, 2018

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

Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball

CoRR, 2018

Generative Reversible Networks.

Robin Tibor Schirrmeister, Patryk Chrabaszcz, Frank Hutter, Tonio Ball

CoRR, 2018

Intracranial Error Detection via Deep Learning.

Martin Völker, Jirí Hammer, Robin Tibor Schirrmeister, Joos Behncke, Lukas Dominique Josef Fiederer, Andreas Schulze-Bonhage, Petr Marusic, Wolfram Burgard, Tonio Ball

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Large-Scale Evaluation Framework for EEG Deep Learning Architectures.

Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Cross-Paradigm Pretraining of Convolutional Networks Improves Intracranial EEG Decoding.

Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Jirí Hammer, Petr Marusic, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Deep transfer learning for error decoding from non-invasive EEG.

Martin Völker, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Wolfram Burgard, Tonio Ball

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.

Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball

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.

Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball

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.

Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger, Frank Hutter, Tonio Ball

CoRR, 2017

Brain Responses During Robot-Error Observation.

Dominik Welke, Joos Behncke, Marina Hader, Robin Tibor Schirrmeister, Andreas Schönau, Boris Eßmann, Oliver Müller, Wolfram Burgard, Tonio Ball

CoRR, 2017

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

Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball

CoRR, 2017

Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills.

Felix Burget, Lukas Dominique Josef Fiederer, Daniel Kuhner, Martin Völker, Johannes Aldinger, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard

Proceedings of the 2017 European Conference on Mobile Robots, 2017

2015

Compass-Based Navigation in Street Networks.

Stefan Funke, Robin Schirrmeister, Simon Skilevic, Sabine Storandt

Proceedings of the Web and Wireless Geographical Information Systems, 2015

Automatic Extrapolation of Missing Road Network Data in OpenStreetMap.

Stefan Funke, Robin Schirrmeister, Sabine Storandt

Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015