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ORCIDSebastian Weichwald
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2020 – today
- 2024
[i15]Leonard Henckel, Theo Würtzen, Sebastian Weichwald:
Adjustment Identification Distance: A gadjid for Causal Structure Learning. CoRR abs/2402.08616 (2024)- 2023
- [c10]Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald:
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models. NeurIPS 2023 - [i14]Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz
, Sebastian Weichwald:
Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models. CoRR abs/2303.18211 (2023) - [i13]Frederik Hytting Jørgensen, Sebastian Weichwald, Jonas Peters:
Unfair Utilities and First Steps Towards Improving Them. CoRR abs/2306.00636 (2023) - 2022
- [i12]Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister:
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR abs/2202.06052 (2022) - 2021
- [j5]Sebastian Weichwald, Jonas Peters:
Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness. J. Cogn. Neurosci. 33(2): 226-247 (2021) - [c9]Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister:
Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) 2021: 246-258 - [c8]Alexander G. Reisach, Christof Seiler, Sebastian Weichwald:
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game. NeurIPS 2021: 27772-27784 - [c7]Eigil Fjeldgren Rischel, Sebastian Weichwald:
Compositional abstraction error and a category of causal models. UAI 2021: 1013-1023 - [i11]Alexander G. Reisach, Christof Seiler, Sebastian Weichwald:
Beware of the Simulated DAG! Varsortability in Additive Noise Models. CoRR abs/2102.13647 (2021) - [i10]Eigil Fjeldgren Rischel, Sebastian Weichwald:
Compositional Abstraction Error and a Category of Causal Models. CoRR abs/2103.15758 (2021) - 2020
- [i9]Sebastian Weichwald, Martin Emil Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando:
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values. CoRR abs/2002.09573 (2020)
2010 – 2019
- 2019
- [j4]Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf:
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise. J. Mach. Learn. Res. 20: 147:1-147:50 (2019) - [c6]Sebastian Weichwald, Martin Emil Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando:
Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values. NeurIPS (Competition and Demos) 2019: 27-36 - 2018
- [i8]Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf:
groupICA: Independent component analysis for grouped data. CoRR abs/1806.01094 (2018) - 2017
- [c5]Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Personalized brain-computer interface models for motor rehabilitation. SMC 2017: 3024-3029 - [c4]Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf:
Causal Consistency of Structural Equation Models. UAI 2017 - [i7]Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Personalized Brain-Computer Interface Models for Motor Rehabilitation. CoRR abs/1705.03259 (2017) - [i6]Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf:
Causal Consistency of Structural Equation Models. CoRR abs/1707.00819 (2017) - 2016
- [j3]James Townsend, Niklas Koep, Sebastian Weichwald:
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation. J. Mach. Learn. Res. 17: 137:1-137:5 (2016) - [j2]Sebastian Weichwald, Moritz Grosse-Wentrup, Arthur Gretton:
MERLiN: Mixture Effect Recovery in Linear Networks. IEEE J. Sel. Top. Signal Process. 10(7): 1254-1266 (2016) - [c3]Sebastian Weichwald, Arthur Gretton, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data. PRNI 2016: 1-4 - [i5]James Townsend, Niklas Koep, Sebastian Weichwald:
Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation. CoRR abs/1603.03236 (2016) - [i4]Sebastian Weichwald, Arthur Gretton, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data. CoRR abs/1605.00391 (2016) - [i3]Sebastian Weichwald, Tatiana Fomina, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Optimal Coding in Biological and Artificial Neural Networks. CoRR abs/1605.07094 (2016) - 2015
- [j1]Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup:
Causal interpretation rules for encoding and decoding models in neuroimaging. NeuroImage 110: 48-59 (2015) - [i2]Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup:
Causal interpretation rules for encoding and decoding models in neuroimaging. CoRR abs/1511.04780 (2015) - [i1]Sebastian Weichwald, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup:
Causal and anti-causal learning in pattern recognition for neuroimaging. CoRR abs/1512.04808 (2015) - 2014
- [c2]Sebastian Weichwald, Timm Meyer, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup:
Decoding index finger position from EEG using random forests. CIP 2014: 1-6 - [c1]Sebastian Weichwald, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup:
Causal and anti-causal learning in pattern recognition for neuroimaging. PRNI 2014: 1-4
Coauthor Index
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