Moritz Grosse-Wentrup

Moritz Grosse-Wentrup

Universität Wien

H-index: 30

Europe-Austria

About Moritz Grosse-Wentrup

Moritz Grosse-Wentrup, With an exceptional h-index of 30 and a recent h-index of 22 (since 2020), a distinguished researcher at Universität Wien, specializes in the field of Machine Learning, Signal Processing, Neural Engineering, Brain-Computer Interfaces, Causal Inference.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Conversational Brain-Artificial Intelligence Interface

Neuro-Cognitive Multilevel Causal Modeling: A Framework that Bridges the Explanatory Gap between Neuronal Activity and Cognition

PyTES: A Python toolbox for closed-loop transcranial electrical stimulation

Learning cognitive state representations from neuronal and behavioural data

Predicting high-quality movements in post-stroke motor rehabilitation from EEG

Preliminary study of neurophysiological correlates of movement quality in stroke rehabilitation

Improvement-focused causal recourse (ICR)

Efficient SAGE estimation via causal structure learning

Moritz Grosse-Wentrup Information

University

Position

___

Citations(all)

4451

Citations(since 2020)

2292

Cited By

3002

hIndex(all)

30

hIndex(since 2020)

22

i10Index(all)

51

i10Index(since 2020)

41

Email

University Profile Page

Universität Wien

Google Scholar

View Google Scholar Profile

Moritz Grosse-Wentrup Skills & Research Interests

Machine Learning

Signal Processing

Neural Engineering

Brain-Computer Interfaces

Causal Inference

Top articles of Moritz Grosse-Wentrup

Title

Journal

Author(s)

Publication Date

A Conversational Brain-Artificial Intelligence Interface

arXiv preprint arXiv:2402.15011

Anja Meunier

Michal Robert Žák

Lucas Munz

Sofiya Garkot

Manuel Eder

...

2024/2/22

Neuro-Cognitive Multilevel Causal Modeling: A Framework that Bridges the Explanatory Gap between Neuronal Activity and Cognition

bioRxiv

Moritz Grosse-Wentrup

Akshey Kumar

Anja Meunier

Manuel Zimmer

2023

PyTES: A Python toolbox for closed-loop transcranial electrical stimulation

SoftwareX

Jiachen Xu

Moritz Grosse-Wentrup

2023/7/1

Learning cognitive state representations from neuronal and behavioural data

Akshey Kumar

Aditya Gilra

Moritz Grosse-Wentrup

2023

Predicting high-quality movements in post-stroke motor rehabilitation from EEG

Philipp Raggam

Christoph Zrenner

Eric James McDermott

Ulf Ziemann

Moritz Grosse-Wentrup

2023/6/30

Preliminary study of neurophysiological correlates of movement quality in stroke rehabilitation

Ajda Bergant

Tisa Pavlov

Philipp Raggam

Moritz Grosse-Wentrup

2023

Improvement-focused causal recourse (ICR)

Proceedings of the AAAI Conference on Artificial Intelligence

Gunnar König

Timo Freiesleben

Moritz Grosse-Wentrup

2023/6/26

Efficient SAGE estimation via causal structure learning

Christoph Luther

Gunnar König

Moritz Grosse-Wentrup

2023/4/11

CaFe DBSCAN: A Density-based Clustering Algorithm for Causal Feature Learning

Pascal Weber

Lukas Miklautz

Akshey Kumar

Moritz Grosse-Wentrup

Claudia Plant

2023/10/9

Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation

Virtual Reality

Eric J McDermott

Johanna Metsomaa

Paolo Belardinelli

Moritz Grosse-Wentrup

Ulf Ziemann

...

2023/3

BunDLe-Net: Neuronal Manifold Learning Meets Behaviour

bioRxiv

Akshey Kumar

Aditya Gilra

Mauricio Gonzalez-Soto

Anja Meunier

Moritz Grosse-Wentrup

2023/8/12

Workshops of the eighth international brain–computer interface meeting: BCIs: the next frontier

Brain-Computer Interfaces

Jane E Huggins

Dean Krusienski

Mariska J Vansteensel

Davide Valeriani

Antonia Thelen

...

2022/4/3

A mathematical framework for bridging Marr’s levels

Anja Meunier

Moritz Grosse-Wentrup

2022

2021 BEETL competition: Advancing transfer learning for subject independence and heterogenous EEG data sets

Xiaoxi Wei

A Aldo Faisal

Moritz Grosse-Wentrup

Alexandre Gramfort

Sylvain Chevallier

...

2022/7/20

A distance covariance-based kernel for nonlinear causal clustering in heterogeneous populations

Alex Markham

Richeek Das

Moritz Grosse-Wentrup

2022/6/28

A causal perspective on meaningful and robust algorithmic recourse

arXiv preprint arXiv:2107.07853

Gunnar König

Timo Freiesleben

Moritz Grosse-Wentrup

2021/7/16

Decomposition of global feature importance into direct and associative components (DEDACT)

arXiv preprint arXiv:2106.08086

Gunnar König

Timo Freiesleben

Bernd Bischl

Giuseppe Casalicchio

Moritz Grosse-Wentrup

2021/6/15

Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states

NeuroImage

Federico Zilio

Javier Gomez-Pilar

Shumei Cao

Jun Zhang

Di Zang

...

2021/2/1

A Distance Correlation-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations

Alex Markham

Moritz Grosse-Wentrup

2021/11/9

Relative feature importance

2020 25th International Conference on Pattern Recognition (ICPR)

Gunnar König

Christoph Molnar

Bernd Bischl

Moritz Grosse-Wentrup

2021

See List of Professors in Moritz Grosse-Wentrup University(Universität Wien)

Co-Authors

H-index: 82
Jan Peters

Jan Peters

Technische Universität Darmstadt

H-index: 51
Alireza Gharabaghi

Alireza Gharabaghi

Eberhard Karls Universität Tübingen

H-index: 45
Charles Anderson

Charles Anderson

Colorado State University

H-index: 44
Mujdat Cetin

Mujdat Cetin

University of Rochester

H-index: 43
Klaus Gramann

Klaus Gramann

Technische Universität Berlin

H-index: 37
Dean Krusienski

Dean Krusienski

Virginia Commonwealth University

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