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Københavns Universitet: København K, DK

Employment
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University of Copenhagen

Works (17)

Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning

2022 | Preprint
DOI: 10.48550/ARXIV.2202.06052
Source: Self-asserted source
Sebastian Weichwald

Compositional Abstraction Error and a Category of Causal Models

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence,
2021 | Conference paper | Author
SOURCE-WORK-ID:

c85d4aab-3d9f-4950-bae3-2209471c83b4

EID:

2-s2.0-85124320987
Contributors: Eigil F. Rischel; Sebastian Weichwald
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University of Copenhagen

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game

35th Conference on Neural Information Processing Systems (NeurIPS)
2021-12-06 | Conference paper
ARXIV: arXiv:2102.13647
Source: Self-asserted source
Sebastian Weichwald

Improving 1-year mortality prediction in ACS patients using machine learning

European Heart Journal. Acute Cardiovascular Care
2021-10-27 | Journal article
DOI: 10.1093/ehjacc/zuab030
Part of ISSN: 2048-8726
Part of ISSN: 2048-8734
Source: Self-asserted source
Sebastian Weichwald

Causality in Cognitive Neuroscience

Journal of Cognitive Neuroscience
2021-02 | Journal article | Author
DOI: 10.1162/jocn_a_01623
SOURCE-WORK-ID:

7b466fff-da4c-44cd-98b4-bd9a0eaf4a99

PMID: 32812827
EID:

2-s2.0-85097219383
Contributors: Sebastian Weichwald; Jonas Peters
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University of Copenhagen

Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values

Proceedings of the NeurIPS 2019 Competition and Demonstration Track
2020 | Conference paper | Author
SOURCE-WORK-ID:

ff5c2948-7ef3-41f9-a0cc-68f6fe6d8a7b
Contributors: Sebastian Weichwald; Martin Emil Jakobsen; Phillip Bredahl Mogensen; Lasse Petersen; Nikolaj Thams; Gherardo Varando
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University of Copenhagen

Pragmatism and Variable Transformations in Causal Modelling

2019 | Dissertation or Thesis
DOI: 10.3929/ETHZ-B-000377699
Source: Self-asserted source
Sebastian Weichwald

Robustifying independent component analysis by adjusting for group-wise stationary noise

Journal of Machine Learning Research
2019 | Journal article | Author
SOURCE-WORK-ID:

ae5c9e91-af92-41b4-be5c-6d30927782c4

EID:

2-s2.0-85077512378
Contributors: Niklas Pfister; Sebastian Weichwald; Peter Bühlmann; Bernhard Schölkopf
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University of Copenhagen

Causal Consistency of Structural Equation Models

Proceedings of the Annual Conference on Uncertainty in Artificial Intelligence, UAI 2017
2017-07-04 | Conference paper
ARXIV: arXiv:1707.00819
Source: Self-asserted source
Sebastian Weichwald

Absence of EEG correlates of self-referential processing depth in ALS.

PloS ONE, 12(6):e0180136, 2017
2017-06-29 | Journal article
DOI: 10.1371/journal.pone.0180136
PMID: 28662161
PMC: PMC5491131
Source: Self-asserted source
Sebastian Weichwald

Personalized Brain-Computer Interface Models for Motor Rehabilitation

IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017), 2017
2017-05-09 | Conference paper
DOI: 10.1109/smc.2017.8123089
ARXIV: arXiv:1705.03259
Source: Self-asserted source
Sebastian Weichwald

Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data

Pattern Recognition in Neuroimaging (PRNI), International Workshop on, 1-4, 2016
2016-05-02 | Conference paper
DOI: 10.1109/prni.2016.7552331
ARXIV: arXiv:1605.00391
Source: Self-asserted source
Sebastian Weichwald

Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation

Journal of Machine Learning Research, 17(137):1-5, 2016
2016-03-10 | Journal article
ARXIV: arXiv:1603.03236
Source: Self-asserted source
Sebastian Weichwald

Causal and anti-causal learning in pattern recognition for neuroimaging

Pattern Recognition in Neuroimaging, 2014 International Workshop on, 1-4, 2014
2015-12-15 | Conference paper
DOI: 10.1109/prni.2014.6858551
ARXIV: arXiv:1512.04808
Source: Self-asserted source
Sebastian Weichwald

Decoding index finger position from EEG using random forests

Cognitive Information Processing (CIP), 2014 4th International Workshop on, 1-6, 2014
2015-12-14 | Conference paper
DOI: 10.1109/cip.2014.6844513
ARXIV: arXiv:1512.04274
Source: Self-asserted source
Sebastian Weichwald

MERLiN: Mixture Effect Recovery in Linear Networks

IEEE Journal of Selected Topics in Signal Processing, 10(7), 1254-1266, 2016
2015-12-03 | Journal article
DOI: 10.1109/jstsp.2016.2601144
ARXIV: arXiv:1512.01255
Source: Self-asserted source
Sebastian Weichwald

Causal interpretation rules for encoding and decoding models in neuroimaging

NeuroImage, 110:48-59, 2015
2015-11-15 | Journal article
DOI: 10.1016/j.neuroimage.2015.01.036
ARXIV: arXiv:1511.04780
Source: Self-asserted source
Sebastian Weichwald
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