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Robin Schirrmeister
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Books and Theses
- 2024
- [b1]Robin Tibor Schirrmeister:
Deep learning for brain-signal decoding from electroencephalography. University of Freiburg, Freiburg im Breisgau, Germany, 2024
Journal Articles
- 2024
- [j4]Ann-Kathrin Kiessner, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball:
Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification. Comput. Biol. Medicine 178: 108681 (2024) - 2020
- [j3]Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball:
Machine-learning-based diagnostics of EEG pathology. NeuroImage 220: 117021 (2020) - 2019
- [j2]Lukas Dominique Josef Fiederer, Martin Völker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball:
Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression. Frontiers Neurorobotics 13: 76 (2019) - [j1]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:
A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing. Robotics Auton. Syst. 116: 98-113 (2019)
Conference and Workshop Papers
- 2020
- [c10]Robin Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang:
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features. NeurIPS 2020 - 2018
- [c9]Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball:
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks. BCI 2018: 1-6 - [c8]Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball:
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding. BCI 2018: 1-6 - [c7]Martin Völker, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Wolfram Burgard, Tonio Ball:
Deep transfer learning for error decoding from non-invasive EEG. BCI 2018: 1-6 - [c6]Martin Völker, Jirí Hammer, Robin Tibor Schirrmeister, Joos Behncke, Lukas Dominique Josef Fiederer, Andreas Schulze-Bonhage, Petr Marusic, Wolfram Burgard, Tonio Ball:
Intracranial Error Detection via Deep Learning. SMC 2018: 568-575 - [c5]Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball:
A Large-Scale Evaluation Framework for EEG Deep Learning Architectures. SMC 2018: 1039-1045 - [c4]Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Jirí Hammer, Petr Marusic, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball:
Cross-Paradigm Pretraining of Convolutional Networks Improves Intracranial EEG Decoding. SMC 2018: 1046-1053 - 2017
- [c3]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:
Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills. ECMR 2017: 1-6 - 2015
- [c2]Stefan Funke, Robin Schirrmeister, Sabine Storandt:
Automatic Extrapolation of Missing Road Network Data in OpenStreetMap. MUD@ICML 2015: 27-35 - [c1]Stefan Funke, Robin Schirrmeister, Simon Skilevic, Sabine Storandt:
Compass-Based Navigation in Street Networks. W2GIS 2015: 71-88
Informal and Other Publications
- 2024
- [i21]Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White:
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. CoRR abs/2402.11137 (2024) - 2023
- [i20]Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball:
Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning. CoRR abs/2310.07029 (2023) - 2022
- [i19]Robin Tibor Schirrmeister, Rosanne Liu, Sara Hooker, Tonio Ball:
When less is more: Simplifying inputs aids neural network understanding. CoRR abs/2201.05610 (2022) - [i18]Diane Wagner, Fabio Ferreira, Danny Stoll, Robin Tibor Schirrmeister, Samuel Müller, Frank Hutter:
On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning. CoRR abs/2207.07875 (2022) - [i17]Daniel Wilson, Robin Tibor Schirrmeister, Lukas Alexander Wilhelm Gemein, Tonio Ball:
Deep Riemannian Networks for EEG Decoding. CoRR abs/2212.10426 (2022) - 2020
- [i16]Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball:
Machine-Learning-Based Diagnostics of EEG Pathology. CoRR abs/2002.05115 (2020) - [i15]Robin Tibor Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang:
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features. CoRR abs/2006.10848 (2020) - 2019
- [i14]Robin Tibor Schirrmeister, Tonio Ball:
Deep Invertible Networks for EEG-based brain-signal decoding. CoRR abs/1907.07746 (2019) - 2018
- [i13]Martin Völker, Jirí Hammer, Robin Tibor Schirrmeister, Joos Behncke, Lukas Dominique Josef Fiederer, Andreas Schulze-Bonhage, Petr Marusic, Wolfram Burgard, Tonio Ball:
Intracranial Error Detection via Deep Learning. CoRR abs/1805.01667 (2018) - [i12]Robin Tibor Schirrmeister, Patryk Chrabaszcz, Frank Hutter, Tonio Ball:
Generative Reversible Networks. CoRR abs/1806.01610 (2018) - [i11]Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball:
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals. CoRR abs/1806.01875 (2018) - [i10]Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball:
A framework for large-scale evaluation of deep learning for EEG. CoRR abs/1806.07741 (2018) - [i9]Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball:
Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding. CoRR abs/1806.09532 (2018) - [i8]Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball:
The role of robot design in decoding error-related information from EEG signals of a human observer. CoRR abs/1807.01597 (2018) - 2017
- [i7]Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball:
Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG. CoRR abs/1703.05051 (2017) - [i6]Felix Burget, Lukas Dominique Josef Fiederer, Daniel Kuhner, Martin Voelker, Johannes Aldinger, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard:
Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills. CoRR abs/1707.06633 (2017) - [i5]Dominik Welke, Joos Behncke, Marina Hader, Robin Tibor Schirrmeister, Andreas Schönau, Boris Eßmann, Oliver Müller, Wolfram Burgard, Tonio Ball:
Brain Responses During Robot-Error Observation. CoRR abs/1708.01465 (2017) - [i4]Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger, Frank Hutter, Tonio Ball:
Deep learning with convolutional neural networks for decoding and visualization of EEG pathology. CoRR abs/1708.08012 (2017) - [i3]Martin Völker, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Wolfram Burgard, Tonio Ball:
Deep Transfer Learning for Error Decoding from Non-Invasive EEG. CoRR abs/1710.09139 (2017) - [i2]Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball:
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks. CoRR abs/1711.06068 (2017) - [i1]Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball:
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding. CoRR abs/1711.07792 (2017)
Coauthor Index
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