Telling cause from effect in deterministic linear dynamical systems N Shajarisales, D Janzing, B Schölkopf, M Besserve
International conference on machine learning, 285-294, 2015
60 2015 Group invariance principles for causal generative models M Besserve, N Shajarisales, B Schölkopf, D Janzing
International Conference on Artificial Intelligence and Statistics, 557-565, 2018
51 2018 Justifying information-geometric causal inference D Janzing, B Steudel, N Shajarisales, B Schölkopf
Measures of Complexity: Festschrift for Alexey Chervonenkis, 253-265, 2015
46 2015 Incorporating side information in tensor completion H Lamba, V Nagarajan, K Shin, N Shajarisales
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
17 2016 Laplacian spectral characterization of two families of trees G Aalipour, S Akbari, N Shajari
Linear and Multilinear Algebra 62 (7), 965-977, 2014
12 2014 Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations M Besserve, N Shajarisales, D Janzing, B Schölkopf
Conference on Causal Learning and Reasoning, 110-143, 2022
1 2022 Learning from positive and unlabeled data by identifying the annotation process N Shajarisales, P Spirtes, K Zhang
arXiv preprint arXiv:2003.01067, 2020
1 2020 A central limit like theorem for Fourier sums D Janzing, N Shajarisales, M Besserve
arXiv preprint arXiv:1707.06819, 2017
1 2017 On the spectrum of H Amjadi, N Soltankhah, N Shajarisales, M Tahvilian
Transactions on Combinatorics 5 (2), 41-51, 2016
2016 A Novel Causal Inference Method for Time Series N Shajarisales
Eberhard Karls Universität Tübingen Tübingen, 2014
2014 