Sebastian Weichwald

38 papers A* 2A 4B 1Journal 26Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling. AISTATS Emanuele Marconato, Sébastien Lachapelle, Sebastian Weichwald, Luigi Gresele
2025	J	`jnl`	Embracing Discrete Search: A Reasonable Approach to Causal Structure Learning. CoRR Marcel Wienöbst, Leonard Henckel, Sebastian Weichwald
2025	J	`jnl`	Linear-Time Primitives for Algorithm Development in Graphical Causal Inference. CoRR Marcel Wienöbst, Sebastian Weichwald, Leonard Henckel
2025	J	`jnl`	What is causal about causal models and representations? CoRR Frederik Hytting Jørgensen, Luigi Gresele, Sebastian Weichwald
2024	J	`jnl`	<tt>spillR</tt> : spillover compensation in mass cytometry data. Bioinform. Marco Guazzini, Alexander G. Reisach, Sebastian Weichwald, Christof Seiler
2024	A	`conf`	Adjustment Identification Distance: A gadjid for Causal Structure Learning. UAI Leonard Henckel, Theo Würtzen, Sebastian Weichwald
2024	J	`jnl`	Adjustment Identification Distance: A gadjid for Causal Structure Learning. CoRR Leonard Henckel, Theo Würtzen, Sebastian Weichwald
2024	J	`jnl`	All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling. CoRR Emanuele Marconato, Sébastien Lachapelle, Sebastian Weichwald, Luigi Gresele
2024	J	`jnl`	Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past. J. Mach. Learn. Res. Nikolaj Thams, Rikke Søndergaard, Sebastian Weichwald, Jonas Peters
2023	A*	`conf`	A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models. NeurIPS Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
2023	J	`jnl`	Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models. CoRR Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
2023	J	`jnl`	Unfair Utilities and First Steps Towards Improving Them. CoRR Frederik Hytting Jørgensen, Sebastian Weichwald, Jonas Peters
2022	J	`jnl`	Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
2021	A*	`conf`	Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game. NeurIPS Alexander G. Reisach, Christof Seiler, Sebastian Weichwald
2021	J	`jnl`	Beware of the Simulated DAG! Varsortability in Additive Noise Models. CoRR Alexander G. Reisach, Christof Seiler, Sebastian Weichwald
2021	J	`jnl`	Causality in Cognitive Neuroscience: Concepts, Challenges, and Distributional Robustness. J. Cogn. Neurosci. Sebastian Weichwald, Jonas Peters
2021	J	`jnl`	Compositional Abstraction Error and a Category of Causal Models. CoRR Eigil Fjeldgren Rischel, Sebastian Weichwald
2021	A	`conf`	Compositional abstraction error and a category of causal models. UAI Eigil Fjeldgren Rischel, Sebastian Weichwald
2021	—	`conf`	Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
2020	J	`jnl`	Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values. CoRR Sebastian Weichwald, Martin Emil Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando
2019	—	`conf`	Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values. NeurIPS (Competition and Demos) Sebastian Weichwald, Martin Emil Jakobsen, Phillip B. Mogensen, Lasse Petersen, Nikolaj Thams, Gherardo Varando
2019	J	`jnl`	Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise. J. Mach. Learn. Res. Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf
2018	J	`jnl`	groupICA: Independent component analysis for grouped data. CoRR Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf
2017	A	`conf`	Causal Consistency of Structural Equation Models. UAI Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf
2017	J	`jnl`	Causal Consistency of Structural Equation Models. CoRR Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf
2017	J	`jnl`	Personalized Brain-Computer Interface Models for Motor Rehabilitation. CoRR Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup
2017	B	`conf`	Personalized brain-computer interface models for motor rehabilitation. SMC Anastasia-Atalanti Mastakouri, Sebastian Weichwald, Ozan Özdenizci, Timm Meyer, Bernhard Schölkopf, Moritz Grosse-Wentrup
2016	J	`jnl`	MERLiN: Mixture Effect Recovery in Linear Networks. IEEE J. Sel. Top. Signal Process. Sebastian Weichwald, Moritz Grosse-Wentrup, Arthur Gretton
2016	J	`jnl`	Optimal Coding in Biological and Artificial Neural Networks. CoRR Sebastian Weichwald, Tatiana Fomina, Bernhard Schölkopf, Moritz Grosse-Wentrup
2016	J	`jnl`	Pymanopt: A Python Toolbox for Manifold Optimization using Automatic Differentiation. CoRR James Townsend, Niklas Koep, Sebastian Weichwald
2016	J	`jnl`	Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation. J. Mach. Learn. Res. James Townsend, Niklas Koep, Sebastian Weichwald
2016	—	`conf`	Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data. PRNI Sebastian Weichwald, Arthur Gretton, Bernhard Schölkopf, Moritz Grosse-Wentrup
2016	J	`jnl`	Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data. CoRR Sebastian Weichwald, Arthur Gretton, Bernhard Schölkopf, Moritz Grosse-Wentrup
2015	J	`jnl`	Causal and anti-causal learning in pattern recognition for neuroimaging. CoRR Sebastian Weichwald, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
2015	J	`jnl`	Causal interpretation rules for encoding and decoding models in neuroimaging. CoRR Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
2015	J	`jnl`	Causal interpretation rules for encoding and decoding models in neuroimaging. NeuroImage Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
2014	—	`conf`	Causal and anti-causal learning in pattern recognition for neuroimaging. PRNI Sebastian Weichwald, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
2014	—	`conf`	Decoding index finger position from EEG using random forests. CIP Sebastian Weichwald, Timm Meyer, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup