Lukas D. J. Fiederer

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All published works

Action	Title	Year	Authors
+	A Research Framework for Virtual Reality Neurosurgery Based on Open-Source Tools	2019	Lukas D. J. Fiederer Hisham Alwanni Martin A. Volker Oliver Schnell Jürgen Beck Tonio Ball
+ PDF Chat	A Large-Scale Evaluation Framework for EEG Deep Learning Architectures	2018	Felix A. Heilmeyer Robin Tibor Schirrmeister Lukas D. J. Fiederer Martin A. Volker Joos Behncke Tonio Ball
+ PDF Chat	Intracranial Error Detection via Deep Learning	2018	Martin A. Volker Jiří Hammer Robin Tibor Schirrmeister Joos Behncke Lukas D. J. Fiederer Andreas Schulze‐Bonhage Petr Marusič Wolfram Burgard Tonio Ball
+	A framework for large-scale evaluation of deep learning for EEG.	2018	Felix A. Heilmeyer Robin Tibor Schirrmeister Lukas D. J. Fiederer Martin A. Volker Joos Behncke Tonio Ball
+	Intracranial Error Detection via Deep Learning.	2018	Martin A. Volker Jiří Hammer Robin Tibor Schirrmeister Joos Behncke Lukas D. J. Fiederer Andreas Schulze‐Bonhage Petr Marusič Wolfram Burgard Tonio Ball
+ PDF Chat	Deep transfer learning for error decoding from non-invasive EEG	2018	Martin A. Volker Robin Tibor Schirrmeister Lukas D. J. Fiederer Wolfram Burgard Tonio Ball
+	Intracranial Error Detection via Deep Learning	2018	Martin A. Volker Jiří Hammer Robin Tibor Schirrmeister Joos Behncke Lukas D. J. Fiederer Andreas Schulze‐Bonhage Petr Marusič Wolfram Burgard Tonio Ball
+	Deep Transfer Learning for Error Decoding from Non-Invasive EEG	2017	Martin A. Volker Robin Tibor Schirrmeister Lukas D. J. Fiederer Wolfram Burgard Tonio Ball
+ PDF Chat	Deep learning with convolutional neural networks for EEG decoding and visualization	2017	Robin Tibor Schirrmeister Jost Tobias Springenberg Lukas D. J. 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.	2017	Robin Tibor Schirrmeister Jost Tobias Springenberg Lukas D. J. Fiederer Martin Glasstetter Katharina Eggensperger Michael Tangermann Frank Hutter Wolfram Burgard Tonio Ball
+	Deep Transfer Learning for Error Decoding from Non-Invasive EEG	2017	Martin A. Volker Robin Tibor Schirrmeister Lukas D. J. Fiederer Wolfram Burgard Tonio Ball

Common Coauthors

Coauthor	Papers Together
Tonio Ball	11
Robin Tibor Schirrmeister	10
Martin A. Volker	9
Wolfram Burgard	8
Joos Behncke	5
Petr Marusič	3
Jiří Hammer	3
Andreas Schulze‐Bonhage	3
Katharina Eggensperger	2
Frank Hutter	2
Felix A. Heilmeyer	2
Martin Glasstetter	2
Jost Tobias Springenberg	2
Michael Tangermann	2
Oliver Schnell	1
Jürgen Beck	1
Hisham Alwanni	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces	2018	Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon Chou P. Hung Brent J. Lance	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Interpretable deep neural networks for single-trial EEG classification	2016	Irene Sturm Sebastian Lapuschkin Wojciech Samek Klaus‐Robert Müller	3
+ PDF Chat	Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills	2017	Felix Burget L. D. J. Fiederer D. Kuhner Michael Völker J. Aldinger Robin Tibor Schirrmeister Chi Wai Joschka Boedecker Bernhard Nebel Tonio Ball	3
+ PDF Chat	Deep learning with convolutional neural networks for EEG decoding and visualization	2017	Robin Tibor Schirrmeister Jost Tobias Springenberg Lukas D. J. Fiederer Martin Glasstetter Katharina Eggensperger Michael Tangermann Frank Hutter Wolfram Burgard Tonio Ball	3
+ PDF Chat	The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks	2018	Joos Behncke Robin Tibor Schirrmeister Wolfram Burgard Tonio Ball	3
+ PDF Chat	A well-conditioned estimator for large-dimensional covariance matrices	2003	Olivier Ledoit Michael Wolf	3
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	2
+	Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks	2015	Pouya Bashivan Irina Rish Mohammed Yeasin Noel Codella	2
+	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos	2
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	2
+ PDF Chat	Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding	2018	Kay Gregor Hartmann Robin Tibor Schirrmeister Tonio Ball	2
+ PDF Chat	AJILE Movement Prediction: Multimodal Deep Learning for Natural Human Neural Recordings and Video	2018	Nancy Wang Ali Farhadi Rajesh P. N. Rao Bingni W. Brunton	2
+ PDF Chat	Deep transfer learning for error decoding from non-invasive EEG	2018	Martin A. Volker Robin Tibor Schirrmeister Lukas D. J. Fiederer Wolfram Burgard Tonio Ball	2
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+	Explaining nonlinear classification decisions with deep Taylor decomposition	2016	Grégoire Montavon Sebastian Lapuschkin Alexander Binder Wojciech Samek Klaus‐Robert Müller	1
+ PDF Chat	Very deep multilingual convolutional neural networks for LVCSR	2016	Tom Sercu Christian Puhrsch Brian Kingsbury Yann LeCun	1
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	1
+	SQuAD: 100,000+ Questions for Machine Comprehension of Text	2016	Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang	1
+	Learning Robust Features using Deep Learning for Automatic Seizure Detection	2016	Pierre Thodoroff Joëlle Pineau Andrew Lim	1
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alexander Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	1
+	Brain Responses During Robot-Error Observation	2017	Dominik Welke Joos Behncke Marina Hader Robin Tibor Schirrmeister Andreas Schönau Boris Eßmann Oliver Müller Wolfram Burgard Tonio Ball	1
+	Deep learning with convolutional neural networks for decoding and visualization of EEG pathology	2017	Robin Tibor Schirrmeister Lukas Gemein Katharina Eggensperger Frank Hutter Tonio Ball	1
+	Deep Classification of Epileptic Signals	2018	David Ahmedt‐Aristizabal Clinton Fookes Kien Nguyen Sridha Sridharan	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Some Improvements on Deep Convolutional Neural Network Based Image Classification	2013	Andrew Howard	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks	2013	Alessandro Giusti Dan Cireşan Jonathan Masci Luca Maria Gambardella Jürgen Schmidhuber	1
+ PDF Chat	Deep Classification of Epileptic Signals	2018	David Ahmedt‐Aristizabal Clinton Fookes Kien Nguyen Sridha Sridharan	1
+ PDF Chat	Deep learning with convolutional neural networks for decoding and visualization of EEG pathology	2017	Robin Tibor Schirrmeister Lukas Gemein Katharina Eggensperger Frank Hutter Tonio Ball	1
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	1
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	1
+	Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets	2016	Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter	1
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	1
+ PDF Chat	SQuAD: 100,000+ Questions for Machine Comprehension of Text	2016	Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang	1
+ PDF Chat	Fast and accurate recurrent neural network acoustic models for speech recognition	2015	Haşim Sak Andrew Senior Kanishka Rao Françoise Beaufays	1
+ PDF Chat	Inverting Visual Representations with Convolutional Networks	2016	Alexey Dosovitskiy Thomas Brox	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	Brain Responses During Robot-Error Observation	2017	Dominik Welke Joos Behncke Marina Hader Robin Tibor Schirrmeister Andreas Schönau Boris Eßmann Oliver J. Müller Wolfram Burgard Tonio Ball	1
+	Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition	2015	Haşim Sak Andrew Senior Kanishka Rao Françoise Beaufays	1
+	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks	2016	Anh Nguyen Alexey Dosovitskiy Jason Yosinski Thomas Brox Jeff Clune	1
+ PDF Chat	Deep convolutional neural networks as generic feature extractors	2015	Lars Hertel Erhardt Barth Thomas Käster Thomas Martinetz	1
+	Some Improvements on Deep Convolutional Neural Network Based Image Classification	2013	Andrew Howard	1
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	1
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1
+ PDF Chat	Deep neural networks are easily fooled: High confidence predictions for unrecognizable images	2015	Anh‐Tu Nguyen Jason Yosinski Jeff Clune	1
+	On the interpretation of weight vectors of linear models in multivariate neuroimaging	2013	Stefan Haufe Frank C. Meinecke Kai Görgen Sven Dähne John–Dylan Haynes Benjamin Blankertz Felix Bießmann	1