Moritz Grosse-Wentrup

Orcid: 0000-0001-9787-2291

Affiliations:
  • University of Vienna, Austria


According to our database1, Moritz Grosse-Wentrup authored at least 70 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Conversational Brain-Artificial Intelligence Interface.
CoRR, 2024

2023
PyTES: A Python toolbox for closed-loop transcranial electrical stimulation.
SoftwareX, July, 2023

Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation.
Virtual Real., March, 2023

CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Efficient SAGE Estimation via Causal Structure Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Improvement-Focused Causal Recourse (ICR).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021
ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics.
IEEE Trans. Hum. Mach. Syst., 2021

Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states.
NeuroImage, 2021

A Causal Perspective on Meaningful and Robust Algorithmic Recourse.
CoRR, 2021

Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT).
CoRR, 2021

A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations.
CoRR, 2021

Distance Covariance: A Nonlinear Extension of Riemannian Geometry for EEG-based Brain-Computer Interfacing.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021


A theory of algorithms and implementations and their relevance to cognitive science.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

2020
Pitfalls to Avoid when Interpreting Machine Learning Models.
CoRR, 2020

MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware.
Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Measurement Dependence Inducing Latent Causal Models.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

MeDIL: A Python Package for Causal Modelling.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Relative Feature Importance.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models.
Proceedings of the xxAI - Beyond Explainable AI, 2020

2019
Tangent space spatial filters for interpretable and efficient Riemannian classification.
CoRR, 2019

Neural Signatures of Motor Skill in the Resting Brain.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Feature extraction from the Hermitian manifold for Brain-Computer Interfaces.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Interpretable Riemannian Classification in Brain-Computer Interfacing.
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019

Beta Power May Meditate the Effect of Gamma-TACS on Motor Performance.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

MYND: A Platform for Large-scale Neuroscientific Studies.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

The Elusive Goal of BCI-based Communication with CLIS-ALS Patients.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019

2017
Causal Consistency of Structural Equation Models.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Personalized brain-computer interface models for motor rehabilitation.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Frequency peak features for low-channel classification in motor imagery paradigms.
Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Correlations of motor Adaptation Learning and modulation of resting-State sensorimotor EEG Activity.
Proceedings of the From Vision to Reality, 2017

A Guided Task for Cognitive brain-Computer Interfaces.
Proceedings of the From Vision to Reality, 2017

Investigating Music imagery as a Cognitive Paradigm for low-Cost brain-Computer Interfaces.
Proceedings of the From Vision to Reality, 2017

Closing One's eyes Affects amplitude modulation but not frequency modulation in a Cognitive BCI.
Proceedings of the From Vision to Reality, 2017

Bayesian Regression for Artifact correction in Electroencephalography.
Proceedings of the From Vision to Reality, 2017

2016
Identification of causal relations in neuroimaging data with latent confounders: An instrumental variable approach.
NeuroImage, 2016

MERLiN: Mixture Effect Recovery in Linear Networks.
IEEE J. Sel. Top. Signal Process., 2016

Optimal Coding in Biological and Artificial Neural Networks.
CoRR, 2016

Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail.
IEEE Comput. Intell. Mag., 2016

Multi-task logistic regression in brain-computer interfaces.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Resting-state EEG correlates of motor learning performance in a force-field adaptation task.
Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2015
Causal interpretation rules for encoding and decoding models in neuroimaging.
NeuroImage, 2015

Transfer Learning in Brain-Computer Interfaces.
CoRR, 2015

A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Adaptive neurofeedback on parieto-occipital cortex for motor learning performance.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Identification of the Default Mode Network with electroencephalography.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Is breathing rate a confounding variable in brain-computer interfaces (BCIs) based on EEG spectral power?
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
The Influence of Decoding Accuracy on Perceived Control: A Simulated BCI Study.
CoRR, 2014

Causal and anti-causal learning in pattern recognition for neuroimaging.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Decoding index finger position from EEG using random forests.
Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013
How to Test the Quality of Reconstructed Sources in Independent Component Analysis (ICA) of EEG/MEG Data.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

2012
A brain-robot interface for studying motor learning after stroke.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
Causal influence of gamma oscillations on the sensorimotor rhythm.
NeuroImage, 2011

Multisubject Learning for Common Spatial Patterns in Motor-Imagery BCI.
Comput. Intell. Neurosci., 2011

2010
Multitask Learning for Brain-Computer Interfaces.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery.
Proceedings of the IEEE International Conference on Systems, 2010

2009
Beamforming in Noninvasive Brain-Computer Interfaces.
IEEE Trans. Biomed. Eng., 2009

2008
Feature extraction in non-invasive brain-computer interfaces.
PhD thesis, 2008

Multiclass Common Spatial Patterns and Information Theoretic Feature Extraction.
IEEE Trans. Biomed. Eng., 2008

Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007
Overcomplete Independent Component Analysis via Linearly Constrained Minimum Variance Spatial Filtering.
J. VLSI Signal Process., 2007

The role of the striatum in adaptation learning: a computational model.
Biol. Cybern., 2007

Comparison of Adaptive Spatial Filters with Heuristic and Optimized Region of Interest for EEG Based Brain-Computer-Interfaces.
Proceedings of the Pattern Recognition, 2007

2006
Subspace identification through blind source separation.
IEEE Signal Process. Lett., 2006

Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Robust MEG Source Localization of Event Related Potentials: Identifying Relevant Sources by Non-Gaussianity.
Proceedings of the Pattern Recognition, 2006


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