Sebastian Weichwald

Cited by

	All	Since 2016
Citations	288	285
h-index	6	6
i10-index	5	5

20152016201720182019202020213 22 27 33 59 90 54

Public access

View all

3 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Moritz Grosse-WentrupUniversity of ViennaVerified email at univie.ac.at
Tonio BallHead of Neuromedical AI Lab FreiburgVerified email at uniklinik-freiburg.de
Niklas KoepRWTH Aachen UniversityVerified email at rwth-aachen.de
Ozan ÖzdenizciGraz University of TechnologyVerified email at tugraz.at
James TownsendUCL, LondonVerified email at ucl.ac.uk
Joris M. MooijProfessor in Mathematical Statistics, Korteweg-de Vries Institute, University of Amsterdam (NL)Verified email at uva.nl
Paul K RubensteinApple Inc.Verified email at apple.com
Dominik JanzingAmazon Development Center, TuebingenVerified email at amazon.com
Stephan BongersPh.D. Candidate, University of AmsterdamVerified email at uva.nl
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Peter BühlmannProfessor of Statistics and Mathematics, ETH ZurichVerified email at stat.math.ethz.ch
Niklas PfisterAssistant Professor, University of CopenhagenVerified email at math.ku.dk
Jonas PetersProfessor of Statistics, University of CopenhagenVerified email at math.ku.dk
Atalanti A. MastakouriMax Planck Institute for Intelligent Systems, Empirical Inference DepartmentVerified email at tuebingen.mpg.de
Gherardo VarandoUniversitat de ValènciaVerified email at uv.es
Lasse PetersenPhD Student in Statistics, University of CopenhagenVerified email at math.ku.dk
Nikolaj ThamsPhD studentVerified email at math.ku.dk
Martin Emil JakobsenUniversity of CopenhagenVerified email at math.ku.dk
Phillip B MogensenPh.D. student in statisticsVerified email at math.ku.dk

Sebastian Weichwald

University of Copenhagen / formerly Max Planck Institute for Intelligent Systems, ETH Zurich

Verified email at math.ku.dk - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation J Townsend, N Koep, S Weichwald Journal of Machine Learning Research 17 (137), 1-5, 2016	110	2016
Causal interpretation rules for encoding and decoding models in neuroimaging S Weichwald, T Meyer, O Özdenizci, B Schölkopf, T Ball, ... NeuroImage 110, 48-59, 2015	72	2015
Causal Consistency of Structural Equation Models PK Rubenstein, S Weichwald, S Bongers, JM Mooij, D Janzing, ... Conference on Uncertainty in Artificial Intelligence (UAI), 2017	37	2017
Causal and anti-causal learning in pattern recognition for neuroimaging S Weichwald, B Schölkopf, T Ball, M Grosse-Wentrup Pattern Recognition in Neuroimaging, 2014 International Workshop on, 1-4, 2014	11	2014
Absence of EEG correlates of self-referential processing depth in ALS. T Fomina, S Weichwald, M Synofzik, J Just, L Schöls, B Schölkopf, ... PloS one 12 (6), e0180136, 2017	10	2017
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise N Pfister, S Weichwald, P Bühlmann, B Schölkopf Journal of Machine Learning Research 20 (147), 1-50, 2019	9*	2019
MERLiN: Mixture Effect Recovery in Linear Networks S Weichwald, M Grosse-Wentrup, A Gretton IEEE Journal of Selected Topics in Signal Processing 10 (7), 1254-1266, 2016	6	2016
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data S Weichwald, A Gretton, B Scholkopf, M Grosse-Wentrup 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2016	6	2016
Decoding index finger position from EEG using random forests S Weichwald, T Meyer, B Schölkopf, T Ball, M Grosse-Wentrup Cognitive Information Processing (CIP), 2014 4th International Workshop on, 1-6, 2014	6	2014
Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness S Weichwald, J Peters Journal of Cognitive Neuroscience, 1-21, 2020	5*	2020
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values S Weichwald, ME Jakobsen, PB Mogensen, L Petersen, N Thams, ... Proceedings of the NeurIPS 2019 Competition and Demonstration Track …, 2020	5	2020
Personalized Brain-Computer Interface Models for Motor Rehabilitation AA Mastakouri, S Weichwald, O Özdenizci, T Meyer, B Schölkopf, ... Proceedings of the IEEE International Conference on Systems, Man, and …, 2017	5	2017
Pragmatism and Variable Transformations in Causal Modelling S Weichwald ETH Zurich, 2019	3	2019
A note on the expected minimum error probability in equientropic channels S Weichwald, T Fomina, B Schölkopf, M Grosse-Wentrup arXiv preprint arXiv:1605.07094, 2016	2*	2016
The right tool for the right question --- beyond the encoding versus decoding dichotomy S Weichwald, M Grosse-Wentrup arXiv preprint arXiv:1704.08851, 2017	1	2017
Improving 1-year mortality prediction in ACS patients using machine learning S Weichwald, A Candreva, R Burkholz, R Klingenberg, L Räber, D Heg, ... European Heart Journal. Acute Cardiovascular Care, 2021		2021
Compositional Abstraction Error and a Category of Causal Models EF Rischel, S Weichwald arXiv preprint arXiv:2103.15758, 2021		2021
Beware of the Simulated DAG! Varsortability in Additive Noise Models AG Reisach, C Seiler, S Weichwald arXiv preprint arXiv:2102.13647, 2021		2021
What is Cantor's continuum problem? S Weichwald		2013

The system can't perform the operation now. Try again later.

Articles 1–19

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors