Stefan Haufe

Orcid: 0000-0003-1470-9195

  • Columbia University, New York City, USA

According to our database1, Stefan Haufe authored at least 53 papers between 2008 and 2024.

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



In proceedings 
PhD thesis 


Online presence:



Joint Learning of Full-Structure Noise in Hierarchical Bayesian Regression Models.
IEEE Trans. Medical Imaging, February, 2024

Benchmarking the influence of pre-training on explanation performance in MR image classification.
Frontiers Artif. Intell., 2024

EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods.
CoRR, 2024

Bayesian Adaptive Beamformer for Robust Electromagnetic Brain Imaging of Correlated Sources in High Spatial Resolution.
IEEE Trans. Medical Imaging, September, 2023

Identifying good practices for detecting inter-regional linear functional connectivity from EEG.
NeuroImage, August, 2023

Bayesian Algorithms for Joint Estimation of Brain Activity and Noise in Electromagnetic Imaging.
IEEE Trans. Medical Imaging, March, 2023

Alterations in rhythmic and non-rhythmic resting-state EEG activity and their link to cognition in older age.
NeuroImage, March, 2023

XAI-TRIS: Non-linear benchmarks to quantify ML explanation performance.
CoRR, 2023

Benchmark data to study the influence of pre-training on explanation performance in MR image classification.
CoRR, 2023

Bayesian Inference for Brain Source Imaging with Joint Estimation of Structured Low-Rank Noise.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables.
Proceedings of the International Conference on Machine Learning, 2023

A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample.
NeuroImage, 2022

Empirical Bayesian localization of event-related time-frequency neural activity dynamics.
NeuroImage, 2022

Scrutinizing XAI using linear ground-truth data with suppressor variables.
Mach. Learn., 2022

Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization framework.
NeuroImage, 2021

Robust estimation of noise for electromagnetic brain imaging with the champagne algorithm.
NeuroImage, 2021

Machine Learning for Health: Algorithm Auditing & Quality Control.
J. Medical Syst., 2021

Evaluating saliency methods on artificial data with different background types.
CoRR, 2021

Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI.
NeuroImage, 2020

Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation.
NeuroImage, 2019

A state-space model for inferring effective connectivity of latent neural dynamics from simultaneous EEG/fMRI.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Elucidating relations between fMRI, ECoG, and EEG through a common natural stimulus.
NeuroImage, 2018

Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data.
CoRR, 2018

Improving EEG Source Localization Through Spatio-Temporal Sparse Bayesian Learning.
Proceedings of the 26th European Signal Processing Conference, 2018

Consistency of EEG source localization and connectivity estimates.
NeuroImage, 2017

Validity of Time Reversal for Testing Granger Causality.
IEEE Trans. Signal Process., 2016

The New York Head - A precise standardized volume conductor model for EEG source localization and tES targeting.
NeuroImage, 2016

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data.
Proc. IEEE, 2015

Identifying Granger causal relationships between neural power dynamics and variables of interest.
NeuroImage, 2015

Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints.
NeuroImage, 2015

An extendable simulation framework for benchmarking EEG-based brain connectivity estimation methodologies.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

On the interpretation of weight vectors of linear models in multivariate neuroimaging.
NeuroImage, 2014

Dimensionality reduction for the analysis of brain oscillations.
NeuroImage, 2014

Finding brain oscillations with power dependencies in neuroimaging data.
NeuroImage, 2014

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters.
NeuroImage, 2014

The effect of linear mixing in the EEG on Hurst exponent estimation.
NeuroImage, 2014

Parameter interpretation, regularization and source localization in multivariate linear models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Optimizing spatial filters for the extraction of envelope-coupled neural oscillations.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Brain-computer interface for smart vehicle: Detection of braking intention during simulated driving.
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

A critical assessment of connectivity measures for EEG data: A simulation study.
NeuroImage, 2013

Decoding cognitive brain states.
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

Detection of multi-class emergency situations during simulated driving from ERP.
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

Large-scale EEG/MEG source localization with spatial flexibility.
NeuroImage, 2011

Single-trial analysis and classification of ERP components - A tutorial.
NeuroImage, 2011

Pitfalls in EEG-Based Brain Effective Connectivity Analysis.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Modeling Sparse Connectivity Between Underlying Brain Sources for EEG/MEG.
IEEE Trans. Biomed. Eng., 2010

Open Database of Epileptic EEG with MRI and Postoperational Assessment of Foci - a Real World Verification for the EEG Inverse Solutions.
Neuroinformatics, 2010

Sparse Causal Discovery in Multivariate Time Series.
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010

Now You'll Feel It, Now You Won't: EEG Rhythms Predict the Effectiveness of Perceptual Masking.
J. Cogn. Neurosci., 2009

Combining sparsity and rotational invariance in EEG/MEG source reconstruction.
NeuroImage, 2008

Estimating vector fields using sparse basis field expansions.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008