Robin Tibor Schirrmeister

39 papers B 3Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accurate predictions on small data with a tabular foundation model. Nat. Noah Hollmann, Samuel Müller, Lennart Purucker, Arjun Krishnakumar, Max Körfer, Shi Bin Hoo, Robin Tibor Schirrmeister, Frank Hutter
2025	J	`jnl`	Dynamic Prompt Generation for Interactive 3D Medical Image Segmentation Training. CoRR Tidiane Camaret Ndir, Alexander Pfefferle, Robin Tibor Schirrmeister
2025	J	`jnl`	EEG-CLIP : Learning EEG representations from natural language descriptions. CoRR Tidiane Camaret Ndir, Robin Tibor Schirrmeister
2025	J	`jnl`	EEG-CLIP: learning EEG representations from natural language descriptions. Frontiers Robotics AI Tidiane Camaret Ndir, Robin Tibor Schirrmeister, Tonio Ball
2025	J	`jnl`	New avenues for understanding what deep networks learn from EEG. Frontiers Robotics AI Robin Tibor Schirrmeister, Tonio Ball
2025	—	`conf`	Unlocking In-Context Learning for Natural Datasets Beyond Language Modelling. DAGM GCPR Jelena Bratulic, Sudhanshu Mittal, David T. Hoffmann, Samuel Böhm, Robin Tibor Schirrmeister, Tonio Ball, Christian Rupprecht, Thomas Brox
2024	—	`—`	Deep learning for brain-signal decoding from electroencephalography. Robin Tibor Schirrmeister
2024	J	`jnl`	Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification. Comput. Biol. Medicine Ann-Kathrin Kiessner, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball
2024	J	`jnl`	TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks. CoRR Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
2023	J	`jnl`	Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning. CoRR Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball
2022	J	`jnl`	Deep Riemannian Networks for EEG Decoding. CoRR Daniel Wilson, Robin Tibor Schirrmeister, Lukas Alexander Wilhelm Gemein, Tonio Ball
2022	J	`jnl`	On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning. CoRR Diane Wagner, Fabio Ferreira, Danny Stoll, Robin Tibor Schirrmeister, Samuel Müller, Frank Hutter
2022	J	`jnl`	When less is more: Simplifying inputs aids neural network understanding. CoRR Robin Tibor Schirrmeister, Rosanne Liu, Sara Hooker, Tonio Ball
2020	J	`jnl`	Machine-Learning-Based Diagnostics of EEG Pathology. CoRR Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball
2020	J	`jnl`	Machine-learning-based diagnostics of EEG pathology. NeuroImage Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball
2020	J	`jnl`	Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features. CoRR Robin Tibor Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang
2019	J	`jnl`	A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing. Robotics Auton. Syst. 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
2019	J	`jnl`	Deep Invertible Networks for EEG-based brain-signal decoding. CoRR Robin Tibor Schirrmeister, Tonio Ball
2019	J	`jnl`	Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression. Frontiers Neurorobotics Lukas Dominique Josef Fiederer, Martin Völker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball
2018	B	`conf`	A Large-Scale Evaluation Framework for EEG Deep Learning Architectures. SMC Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball
2018	J	`jnl`	A framework for large-scale evaluation of deep learning for EEG. CoRR Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball
2018	B	`conf`	Cross-Paradigm Pretraining of Convolutional Networks Improves Intracranial EEG Decoding. SMC Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Jirí Hammer, Petr Marusic, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball
2018	J	`jnl`	Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding. CoRR Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball
2018	—	`conf`	Deep transfer learning for error decoding from non-invasive EEG. BCI Martin Völker, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Wolfram Burgard, Tonio Ball
2018	J	`jnl`	EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals. CoRR Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
2018	J	`jnl`	Generative Reversible Networks. CoRR Robin Tibor Schirrmeister, Patryk Chrabaszcz, Frank Hutter, Tonio Ball
2018	—	`conf`	Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding. BCI Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
2018	B	`conf`	Intracranial Error Detection via Deep Learning. SMC Martin Völker, Jirí Hammer, Robin Tibor Schirrmeister, Joos Behncke, Lukas Dominique Josef Fiederer, Andreas Schulze-Bonhage, Petr Marusic, Wolfram Burgard, Tonio Ball
2018	J	`jnl`	Intracranial Error Detection via Deep Learning. CoRR Martin Völker, Jirí Hammer, Robin Tibor Schirrmeister, Joos Behncke, Lukas Dominique Josef Fiederer, Andreas Schulze-Bonhage, Petr Marusic, Wolfram Burgard, Tonio Ball
2018	J	`jnl`	The role of robot design in decoding error-related information from EEG signals of a human observer. CoRR Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball
2018	—	`conf`	The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks. BCI Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball
2017	J	`jnl`	Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills. CoRR 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
2017	—	`conf`	Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills. ECMR 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
2017	J	`jnl`	Brain Responses During Robot-Error Observation. CoRR Dominik Welke, Joos Behncke, Marina Hader, Robin Tibor Schirrmeister, Andreas Schönau, Boris Eßmann, Oliver Müller, Wolfram Burgard, Tonio Ball
2017	J	`jnl`	Deep Transfer Learning for Error Decoding from Non-Invasive EEG. CoRR Martin Völker, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Wolfram Burgard, Tonio Ball
2017	J	`jnl`	Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG. CoRR Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball
2017	J	`jnl`	Deep learning with convolutional neural networks for decoding and visualization of EEG pathology. CoRR Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger, Frank Hutter, Tonio Ball
2017	J	`jnl`	Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding. CoRR Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
2017	J	`jnl`	The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks. CoRR Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball