Robin Tibor Schirrmeister

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Linear Discriminant Classifier

Convolutional Neural Networks

Top Venues

Frontiers Neurorobotics

Publications

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 (2024)
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 (2024)
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 (2023)
Robin Tibor Schirrmeister, Rosanne Liu, Sara Hooker, Tonio Ball
When less is more: Simplifying inputs aids neural network understanding. CoRR (2022)
Daniel Wilson, Robin Tibor Schirrmeister, Lukas Alexander Wilhelm Gemein, Tonio Ball
Deep Riemannian Networks for EEG Decoding. CoRR (2022)
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 (2022)
Robin Tibor Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features. CoRR (2020)
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 (2020)
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 (2020)
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 (2019)
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 (2019)
Robin Tibor Schirrmeister, Tonio Ball
Deep Invertible Networks for EEG-based brain-signal decoding. CoRR (2019)
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)
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)
Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals. CoRR (2018)
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)
Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding. BCI (2018)
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 (2018)
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 (2018)
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)
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)
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 (2018)
Robin Tibor Schirrmeister, Patryk Chrabaszcz, Frank Hutter, Tonio Ball
Generative Reversible Networks. CoRR (2018)
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 (2018)
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 (2017)
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 (2017)
Martin Völker, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Wolfram Burgard, Tonio Ball
Deep Transfer Learning for Error Decoding from Non-Invasive EEG. CoRR (2017)
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 (2017)
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 (2017)
Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding. CoRR (2017)
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 (2017)
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)