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ORCIDStefan Haufe
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- affiliation: Columbia University, New York City, USA
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2020 – today
- 2024
[j35]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)- [j34]Sebastian Daniel Boie, Falk Meyer-Eschenbach, Fabian Schreiber, Niklas Giesa, Jon Barrenetxea, Camille Guinemer, Stefan Haufe, Michael Krämer, Peter Brunecker, Fabian Prasser, Felix Balzer:
A scalable approach for critical care data extraction and analysis in an academic medical center. Int. J. Medical Informatics 192: 105611 (2024) - [j33]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): 6871-6910 (2024) - [j32]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): 610-624 (2024) - [i10]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 abs/2405.12261 (2024) - [i9]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 abs/2406.11547 (2024) - [i8]Stefan Haufe, Rick Wilming, Benedict Clark, Rustam Zhumagambetov, Danny Panknin, Ahcène Boubekki:
Explainable AI needs formal notions of explanation correctness. CoRR abs/2409.14590 (2024) - 2023
- [j31]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, Anja 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: 119810 (2023) - [j30]Franziska Pellegrini, Arnaud Delorme, Vadim V. Nikulin, Stefan Haufe:
Identifying good practices for detecting inter-regional linear functional connectivity from EEG. NeuroImage 277: 120218 (2023) - [j29]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): 762-773 (2023) - [j28]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): 2502-2512 (2023) - [c15]Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe:
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables. ICML 2023: 37091-37107 - [c14]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: 1-5 - [i7]Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe:
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables. CoRR abs/2306.01464 (2023) - [i6]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 abs/2306.12150 (2023) - [i5]Benedict Clark, Rick Wilming, Stefan Haufe:
XAI-TRIS: Non-linear benchmarks to quantify ML explanation performance. CoRR abs/2306.12816 (2023) - 2022
- [j27]Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe:
Scrutinizing XAI using linear ground-truth data with suppressor variables. Mach. Learn. 111(5): 1903-1923 (2022) - [j26]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: 119348 (2022) - [j25]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: 119369 (2022) - 2021
- [j24]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 D. 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): 105 (2021) - [j23]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: 117411 (2021) - [j22]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: 118309 (2021) - [c13]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: 24855-24870 - [i4]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 abs/2111.01692 (2021) - [i3]Rick Wilming, Céline Budding, Klaus-Robert Müller, Stefan Haufe:
Scrutinizing XAI using linear ground-truth data with suppressor variables. CoRR abs/2111.07473 (2021) - [i2]Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe:
Evaluating saliency methods on artificial data with different background types. CoRR abs/2112.04882 (2021) - 2020
- [j21]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: 117001 (2020)
2010 – 2019
- 2019
- [j20]Carmen Vidaurre, Ander Ramos-Murguialday, Stefan Haufe, Marisol Gómez, Klaus-Robert Müller, Vadim V. Nikulin:
Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation. NeuroImage 199: 375-386 (2019) - [c12]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: 4664-4673 - 2018
- [j19]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: 79-91 (2018) - [c11]Ali Hashemi, Stefan Haufe:
Improving EEG Source Localization Through Spatio-Temporal Sparse Bayesian Learning. EUSIPCO 2018: 1935-1939 - [i1]Lucas C. Parra, Stefan Haufe, Jacek P. Dmochowski:
Correlated Components Analysis - Extracting Reliable Dimensions in Multivariate Data. CoRR abs/1801.08881 (2018) - 2017
- [j18]Keyvan Mahjoory, Vadim V. Nikulin, Loïc Botrel, Klaus Linkenkaer-Hansen, Marco Fato, Stefan Haufe:
Consistency of EEG source localization and connectivity estimates. NeuroImage 152: 590-601 (2017) - 2016
- [j17]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: 150-162 (2016) - [j16]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): 2746-2760 (2016) - 2015
- [j15]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: 489-504 (2015) - [j14]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: 598-612 (2015) - [j13]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): 1507-1530 (2015) - [c10]Stefan Haufe:
An extendable simulation framework for benchmarking EEG-based brain connectivity estimation methodologies. EMBC 2015: 7562-7565 - 2014
- [j12]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: 111-122 (2014) - [j11]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: 96-110 (2014) - [j10]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: 334-348 (2014) - [j9]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: 377-387 (2014) - [j8]Stefan Haufe, Sven Dähne, Vadim V. Nikulin:
Dimensionality reduction for the analysis of brain oscillations. NeuroImage 101: 583-597 (2014) - [c9]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: 1-3 - [c8]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: 1-4 - [c7]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: 1-4 - 2013
- [j7]Stefan Haufe, Vadim V. Nikulin, Klaus-Robert Müller, Guido Nolte:
A critical assessment of connectivity measures for EEG data: A simulation study. NeuroImage 64: 120-133 (2013) - [c6]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: 16-18 - [c5]Il-Hwa Kim, Jeong-Woo Kim, Stefan Haufe, Seong-Whan Lee:
Detection of multi-class emergency situations during simulated driving from ERP. BCI 2013: 49-51 - 2012
- [c4]Stefan Haufe, Vadim V. Nikulin, Guido Nolte:
Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses. LVA/ICA 2012: 25-33 - 2011
- [j6]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): 851-859 (2011) - [j5]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): 814-825 (2011) - [c3]Stefan Haufe, Vadim V. Nikulin, Guido Nolte, Klaus-Robert Müller:
Pitfalls in EEG-Based Brain Effective Connectivity Analysis. MLINI 2011: 202-209 - 2010
- [j4]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): 285-299 (2010) - [j3]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): 1954-1963 (2010) - [c2]Stefan Haufe, Klaus-Robert Müller, Guido Nolte, Nicole Krämer:
Sparse Causal Discovery in Multivariate Time Series. NIPS Causality: Objectives and Assessment 2010: 97-106
2000 – 2009
- 2009
- [j2]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): 2407-2419 (2009) - 2008
- [j1]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): 726-738 (2008) - [c1]Stefan Haufe, Vadim V. Nikulin, Andreas Ziehe, Klaus-Robert Müller, Guido Nolte:
Estimating vector fields using sparse basis field expansions. NIPS 2008: 617-624
Coauthor Index
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