Sebastian Weichwald

According to our database, Sebastian Weichwald authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling.

Emanuele Marconato, Sébastien Lachapelle, Sebastian Weichwald, Luigi Gresele

CoRR, 2024

Adjustment Identification Distance: A gadjid for Causal Structure Learning.

Leonard Henckel, Theo Würtzen, Sebastian Weichwald

CoRR, 2024

2023

Unfair Utilities and First Steps Towards Improving Them.

Frederik Hytting Jørgensen, Sebastian Weichwald, Jonas Peters

CoRR, 2023

Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models.

Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald

CoRR, 2023

A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models.

Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness.

Sebastian Weichwald, Jonas Peters

J. Cogn. Neurosci., 2021

Beware of the Simulated DAG! Varsortability in Additive Noise Models.

Alexander G. Reisach, Christof Seiler, Sebastian Weichwald

CoRR, 2021

Compositional abstraction error and a category of causal models.

Eigil Fjeldgren Rischel, Sebastian Weichwald

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

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

Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

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

Alexander G. Reisach, Christof Seiler, Sebastian Weichwald

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise.

Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf

J. Mach. Learn. Res., 2019

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

Sebastian Weichwald, Martin Emil Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

2018

groupICA: Independent component analysis for grouped data.

Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf

CoRR, 2018

2017

Causal Consistency of Structural Equation Models.

Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Personalized brain-computer interface models for motor rehabilitation.

Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

2016

MERLiN: Mixture Effect Recovery in Linear Networks.

Sebastian Weichwald, Moritz Grosse-Wentrup, Arthur Gretton

IEEE J. Sel. Top. Signal Process., 2016

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

James Townsend, Niklas Koep, Sebastian Weichwald

J. Mach. Learn. Res., 2016

Optimal Coding in Biological and Artificial Neural Networks.

Sebastian Weichwald, Tatiana Fomina, Bernhard Schölkopf, Moritz Grosse-Wentrup

CoRR, 2016

Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation.

James Townsend, Niklas Koep, Sebastian Weichwald

CoRR, 2016

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

Sebastian Weichwald, Arthur Gretton, Bernhard Schölkopf, Moritz Grosse-Wentrup

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2015

Causal interpretation rules for encoding and decoding models in neuroimaging.

Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup

NeuroImage, 2015

2014

Causal and anti-causal learning in pattern recognition for neuroimaging.

Sebastian Weichwald, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Decoding index finger position from EEG using random forests.

Sebastian Weichwald, Timm Meyer, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup

Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014