Stefan Haufe

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 33

Top Topics

Granger Causality

Functional Connectivity

Hierarchical Bayesian

Top Venues

IEEE Trans. Medical Imaging

Publications

Ali Hashemi, Chang Cai, Yijing Gao, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models. IEEE Trans. Medical Imaging 43 (2) (2024)
Benedict Clark, Rick Wilming, Stefan Haufe
XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance. Mach. Learn. 113 (9) (2024)
Benedict Clark, Rick Wilming, Artur Dox, Paul Eschenbach, Sami Hached, Daniel Jin Wodke, Michias Taye Zewdie, Uladzislau Bruila, Marta Oliveira, Hjalmar Schulz, Luca Matteo Cornils, Danny Panknin, Ahcène Boubekki, Stefan Haufe
EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods. CoRR (2024)
Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe
Benchmarking the influence of pre-training on explanation performance in MR image classification. Frontiers Artif. Intell. 7 (2024)
Rick Wilming, Artur Dox, Hjalmar Schulz, Marta Oliveira, Benedict Clark, Stefan Haufe
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations. CoRR (2024)
Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables. ICML (2023)
Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables. CoRR (2023)
Chang Cai, Huicong Kang, Ali Hashemi, Dan Chen, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging. IEEE Trans. Medical Imaging 42 (3) (2023)
Elena Cesnaite, Paul Steinfath, Mina Jamshidi Idaji, Tilman Stephani, Deniz Kumral, Stefan Haufe, Christian Sander, Tilman Hensch, Ulrich Hegerl, Steffi Riedel-Heller, Susanne Röhr, Matthias L. Schroeter, A. Veronica Witte, Arno Villringer, Vadim V. Nikulin
Alterations in rhythmic and non-rhythmic resting-state EEG activity and their link to cognition in older age. NeuroImage 268 (2023)
Sanjay Ghosh, Chang Cai, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan
Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise. ISBI (2023)
Benedict Clark, Rick Wilming, Stefan Haufe
XAI-TRIS: Non-linear benchmarks to quantify ML explanation performance. CoRR (2023)
Franziska Pellegrini, Arnaud Delorme, Vadim V. Nikulin, Stefan Haufe
Identifying good practices for detecting inter-regional linear functional connectivity from EEG. NeuroImage 277 (2023)
Marta Oliveira, Rick Wilming, Benedict Clark, Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe
Benchmark data to study the influence of pre-training on explanation performance in MR image classification. CoRR (2023)
Chang Cai, Yuanshun Long, Sanjay Ghosh, Ali Hashemi, Yijing Gao, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Wei Wu, Srikantan S. Nagarajan
Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution. IEEE Trans. Medical Imaging 42 (9) (2023)
Chang Cai, Leighton B. N. Hinkley, Yijing Gao, Ali Hashemi, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan
Empirical Bayesian localization of event-related time-frequency neural activity dynamics. NeuroImage 258 (2022)
Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
Scrutinizing XAI using linear ground-truth data with suppressor variables. Mach. Learn. 111 (5) (2022)
Nicolas Langer, Martyna Beata Plomecka, Marius Tröndle, Anuja Negi, Tzvetan Popov, Michael P. Milham, Stefan Haufe
A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample. NeuroImage 258 (2022)
Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe
Evaluating saliency methods on artificial data with different background types. CoRR (2021)
Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe
Scrutinizing XAI using linear ground-truth data with suppressor variables. CoRR (2021)
Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging. NeurIPS (2021)
Chang Cai, Ali Hashemi, Mithun Diwakar, Stefan Haufe, Kensuke Sekihara, Srikantan S. Nagarajan
Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm. NeuroImage 225 (2021)
Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saúl Calderón Ramírez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand
Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. 45 (12) (2021)
Ali Hashemi, Chang Cai, Gitta Kutyniok, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework. NeuroImage 239 (2021)
Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging. CoRR (2021)
Maximilian Nentwich, Lei Ai, Jens Madsen, Qawi K. Telesford, Stefan Haufe, Michael P. Milham, Lucas C. Parra
Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI. NeuroImage 218 (2020)
Tao Tu, John W. Paisley, Stefan Haufe, Paul Sajda
A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI. NeurIPS (2019)
Carmen Vidaurre, Ander Ramos-Murguialday, Stefan Haufe, M. Gómez, Klaus-Robert Müller, Vadim V. Nikulin
Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation. NeuroImage 199 (2019)
Ali Hashemi, Stefan Haufe
Improving EEG Source Localization Through Spatio-Temporal Sparse Bayesian Learning. EUSIPCO (2018)
Stefan Haufe, Paul DeGuzman, Simon Henin, Michael Arcaro, Christopher J. Honey, Uri Hasson, Lucas C. Parra
Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus. NeuroImage 179 (2018)
Lucas C. Parra, Stefan Haufe, Jacek P. Dmochowski
Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data. CoRR (2018)
Keyvan Mahjoory, Vadim V. Nikulin, Loïc Botrel, Klaus Linkenkaer-Hansen, Marco Fato, Stefan Haufe
Consistency of EEG source localization and connectivity estimates. NeuroImage 152 (2017)
Yu Huang, Lucas C. Parra, Stefan Haufe
The New York Head - A precise standardized volume conductor model for EEG source localization and tES targeting. NeuroImage 140 (2016)
Irene Winkler, Danny Panknin, Daniel Bartz, Klaus-Robert Müller, Stefan Haufe
Validity of Time Reversal for Testing Granger Causality. IEEE Trans. Signal Process. 64 (11) (2016)
Sven Dähne, Felix Bießmann, Wojciech Samek, Stefan Haufe, Dominique Goltz, Christopher Gundlach, Arno Villringer, Siamac Fazli, Klaus-Robert Müller
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data. Proc. IEEE 103 (9) (2015)
Irene Winkler, Stefan Haufe, Anne K. Porbadnigk, Klaus-Robert Müller, Sven Dähne
Identifying Granger causal relationships between neural power dynamics and variables of interest. NeuroImage 111 (2015)
Stefan Haufe
An extendable simulation framework for benchmarking EEG-based brain connectivity estimation methodologies. EMBC (2015)
Sebastián Castaño-Candamil, Johannes Höhne, Juan David Martínez-Vargas, Xing-Wei An, Germán Castellanos-Domínguez, Stefan Haufe
Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints. NeuroImage 118 (2015)
Jeong-Woo Kim, Il-Hwa Kim, Stefan Haufe, Seong-Whan Lee
Brain-computer interface for smart vehicle: Detection of braking intention during simulated driving. BCI (2014)
Sven Dähne, Vadim V. Nikulin, David Ramírez, Peter J. Schreier, Klaus-Robert Müller, Stefan Haufe
Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. PRNI (2014)
Sven Dähne, Vadim V. Nikulin, David Ramírez, Peter J. Schreier, Klaus-Robert Müller, Stefan Haufe
Finding brain oscillations with power dependencies in neuroimaging data. NeuroImage 96 (2014)
Sven Dähne, Frank C. Meinecke, Stefan Haufe, Johannes Höhne, Michael Tangermann, Klaus-Robert Müller, Vadim V. Nikulin
SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. NeuroImage 86 (2014)
Duncan A. J. Blythe, Stefan Haufe, Klaus-Robert Müller, Vadim V. Nikulin
The effect of linear mixing in the EEG on Hurst exponent estimation. NeuroImage 99 (2014)
Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann
On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage 87 (2014)
Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann
Parameter interpretation, regularization and source localization in multivariate linear models. PRNI (2014)
Stefan Haufe, Sven Dähne, Vadim V. Nikulin
Dimensionality reduction for the analysis of brain oscillations. NeuroImage 101 (2014)
Il-Hwa Kim, Jeong-Woo Kim, Stefan Haufe, Seong-Whan Lee
Detection of multi-class emergency situations during simulated driving from ERP. BCI (2013)
Anne K. Porbadnigk, Matthias Sebastian Treder, Siamac Fazli, Michael Tangermann, Carmen Vidaurre, Stefan Haufe, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller
Decoding cognitive brain states. BCI (2013)
Stefan Haufe, Vadim V. Nikulin, Klaus-Robert Müller, Guido Nolte
A critical assessment of connectivity measures for EEG data: A simulation study. NeuroImage 64 (2013)
Stefan Haufe, Vadim V. Nikulin, Guido Nolte
Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses. LVA/ICA (2012)
Stefan Haufe, Vadim V. Nikulin, Guido Nolte, Klaus-Robert Müller
Pitfalls in EEG-Based Brain Effective Connectivity Analysis. MLINI (2011)
Benjamin Blankertz, Steven Lemm, Matthias Sebastian Treder, Stefan Haufe, Klaus-Robert Müller
Single-trial analysis and classification of ERP components - A tutorial. NeuroImage 56 (2) (2011)
Stefan Haufe, Ryota Tomioka, Thorsten Dickhaus, Claudia Sannelli, Benjamin Blankertz, Guido Nolte, Klaus-Robert Müller
Large-scale EEG/MEG source localization with spatial flexibility. NeuroImage 54 (2) (2011)
Stefan Haufe, Ryota Tomioka, Guido Nolte, Klaus-Robert Müller, Motoaki Kawanabe
Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG. IEEE Trans. Biomed. Eng. 57 (8) (2010)
Piotr Zwolinski, Marcin Roszkowski, Jaroslaw Zygierewicz, Stefan Haufe, Guido Nolte, Piotr J. Durka
Open Database of Epileptic EEG with MRI and Postoperational Assessment of Foci - a Real World Verification for the EEG Inverse Solutions. Neuroinformatics 8 (4) (2010)
Stefan Haufe, Klaus-Robert Müller, Guido Nolte, Nicole Krämer
Sparse Causal Discovery in Multivariate Time Series. NIPS Causality: Objectives and Assessment (2010)
Ruth Schubert, Stefan Haufe, Felix Blankenburg, Arno Villringer, Gabriel Curio
Now You'll Feel It, Now You Won't: EEG Rhythms Predict the Effectiveness of Perceptual Masking. J. Cogn. Neurosci. 21 (12) (2009)
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte
Estimating vector fields using sparse basis field expansions. NIPS (2008)
Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte
Combining sparsity and rotational invariance in EEG/MEG source reconstruction. NeuroImage 42 (2) (2008)