Sebastian Weichwald

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 25

Top Topics

Conditional Independence

Causal Structure

Top Venues

J. Mach. Learn. Res.

Publications

Leonard Henckel, Theo Würtzen, Sebastian Weichwald
Adjustment Identification Distance: A gadjid for Causal Structure Learning. CoRR (2024)
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)
Frederik Hytting Jørgensen, Sebastian Weichwald, Jonas Peters
Unfair Utilities and First Steps Towards Improving Them. CoRR (2023)
Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models. CoRR (2023)
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 (2022)
Eigil Fjeldgren Rischel, Sebastian Weichwald
Compositional abstraction error and a category of causal models. UAI (2021)
Eigil Fjeldgren Rischel, Sebastian Weichwald
Compositional Abstraction Error and a Category of Causal Models. CoRR (2021)
Sebastian Weichwald, Jonas Peters
Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness. J. Cogn. Neurosci. 33 (2) (2021)
Alexander G. Reisach, Christof Seiler, Sebastian Weichwald
Beware of the Simulated DAG! Varsortability in Additive Noise Models. CoRR (2021)
Alexander G. Reisach, Christof Seiler, Sebastian Weichwald
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game. NeurIPS (2021)
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)
Sebastian Weichwald, Martin E. 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 (2020)
Sebastian Weichwald, Martin E. 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)
Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise. J. Mach. Learn. Res. 20 (2019)
Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf
groupICA: Independent component analysis for grouped data. CoRR (2018)
Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup
Personalized brain-computer interface models for motor rehabilitation. SMC (2017)
Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf
Causal Consistency of Structural Equation Models. CoRR (2017)
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)
Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup
Personalized Brain-Computer Interface Models for Motor Rehabilitation. CoRR (2017)
Sebastian Weichwald, Arthur Gretton, Bernhard Schölkopf, Moritz Grosse-Wentrup
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data. CoRR (2016)
Sebastian Weichwald, Arthur Gretton, Bernhard Schölkopf, Moritz Grosse-Wentrup
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data. PRNI (2016)
Sebastian Weichwald, Moritz Grosse-Wentrup, Arthur Gretton
MERLiN: Mixture Effect Recovery in Linear Networks. IEEE J. Sel. Top. Signal Process. 10 (7) (2016)
James Townsend, Niklas Koep, Sebastian Weichwald
Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation. CoRR (2016)
James Townsend, Niklas Koep, Sebastian Weichwald
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation. J. Mach. Learn. Res. 17 (2016)
Sebastian Weichwald, Tatiana Fomina, Bernhard Schölkopf, Moritz Grosse-Wentrup
Optimal Coding in Biological and Artificial Neural Networks. CoRR (2016)
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 (2015)
Sebastian Weichwald, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
Causal and anti-causal learning in pattern recognition for neuroimaging. CoRR (2015)
Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
Causal interpretation rules for encoding and decoding models in neuroimaging. CoRR (2015)
Sebastian Weichwald, Timm Meyer, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
Decoding index finger position from EEG using random forests. CIP (2014)
Sebastian Weichwald, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
Causal and anti-causal learning in pattern recognition for neuroimaging. PRNI (2014)