Weichwald, Sebastian

9 publications

AISTATS 2025 All or None: Identifiable Linear Properties of Next-Token Predictors in Language Modeling Emanuele Marconato, Sebastien Lachapelle, Sebastian Weichwald, Luigi Gresele

UAI 2024 Adjustment Identification Distance: A Gadjid for Causal Structure Learning Leonard Henckel, Theo Würtzen, Sebastian Weichwald

JMLR 2024 Identifying Causal Eﬀects Using Instrumental Time Series: Nuisance IV and Correcting for the past Nikolaj Thams, Rikke Søndergaard, Sebastian Weichwald, Jonas Peters

NeurIPS 2023 A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models Alexander Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald

NeurIPS 2021 Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game Alexander Reisach, Christof Seiler, Sebastian Weichwald

UAI 2021 Compositional Abstraction Error and a Category of Causal Models Eigil F. Rischel, Sebastian Weichwald

JMLR 2019 Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf

UAI 2017 Causal Consistency of Structural Equation Models Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij, Dominik Janzing, Moritz Grosse-Wentrup, Bernhard Schölkopf

JMLR 2016 Pymanopt: A Python Toolbox for Optimization on Manifolds Using Automatic Differentiation James Townsend, Niklas Koep, Sebastian Weichwald