| 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 | 58 | 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 | 50 | 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 r-orthogonal Latin squares of different orders 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 |
