| Feature relevance quantification in explainable AI: A causal problem D Janzing, L Minorics, P Blöbaum International Conference on artificial intelligence and statistics, 2907-2916, 2020 | 280 | 2020 |
| Causal structure-based root cause analysis of outliers K Budhathoki, L Minorics, P Blöbaum, D Janzing International Conference on Machine Learning, 2357-2369, 2022 | 32 | 2022 |
| Feature relevance quantification in explainable AI: a causality problem D Janzing, L Minorics, P Blöbaum arXiv preprint arXiv:1910.13413, 2019 | 20 | 2019 |
| Unsupervised model selection for time-series anomaly detection M Goswami, C Challu, L Callot, L Minorics, A Kan arXiv preprint arXiv:2210.01078, 2022 | 15 | 2022 |
| Spectral asymptotics for Krein–Feller operators with respect to 𝑉-variable Cantor measures LA Minorics Forum Mathematicum 32 (1), 121-138, 2020 | 14 | 2020 |
| Causal structure based root cause analysis of outliers D Janzing, K Budhathoki, L Minorics, P Blöbaum arXiv preprint arXiv:1912.02724, 2019 | 13 | 2019 |
| Quantifying causal contribution via structure preserving interventions D Janzing, P Blöbaum, L Minorics, P Faller arXiv preprint arXiv:2007.00714, 2020 | 8 | 2020 |
| Eigenvalue approximation for Krein–Feller-operators U Freiberg, L Minorics Analysis, Probability and Mathematical Physics on Fractals, 363-384, 2020 | 7 | 2020 |
| Spectral Asymptotics for Krein-Feller-operators with respect to random recursive Cantor measures L Minorics arXiv preprint arXiv:1709.07291, 2017 | 7 | 2017 |
| Causal forecasting: generalization bounds for autoregressive models LC Vankadara, PM Faller, M Hardt, L Minorics, D Ghoshdastidar, ... Uncertainty in Artificial Intelligence, 2002-2012, 2022 | 5 | 2022 |
| Correcting confounding via random selection of background variables YL Chen, L Minorics, D Janzing arXiv preprint arXiv:2202.02150, 2022 | 5 | 2022 |
| Analysis, probability and mathematical physics on fractals RS Strichartz World Scientific, 2020 | 4 | 2020 |
| Manifold restricted interventional shapley values MF Taufiq, P Blöbaum, L Minorics International Conference on Artificial Intelligence and Statistics, 5079-5106, 2023 | 2 | 2023 |
| Testing granger non-causality in panels with cross-sectional dependencies L Minorics, C Turkmen, D Kernert, P Bloebaum, L Callot, D Janzing International Conference on Artificial Intelligence and Statistics, 10534-10554, 2022 | 1 | 2022 |
| Manifold Restricted Interventional Shapley Values M Faaiz Taufiq, P Blöbaum, L Minorics arXiv e-prints, arXiv: 2301.04041, 2023 | | 2023 |
| Quantifying Causal Contribution in Rare Event Data AC Turkmen, D Janzing, O Shchur, L Minorics, L Callot A causal view on dynamical systems, NeurIPS 2022 workshop, 2022 | | 2022 |
| Causal Forecasting: Generalization Bounds for Autoregressive Models L Chennuru Vankadara, PM Faller, M Hardt, L Minorics, D Ghoshdastidar, ... arXiv e-prints, arXiv: 2111.09831, 2021 | | 2021 |
| Spectral asymptotics for Dirichlet Laplacians on random Cantor-like sets and on their complement LA Minorics | | 2019 |
| Causal Forecasting: Generalization Bounds for Autoregressive Models-Supplementary Material LC Vankadara, PM Faller, M Hardt, L Minorics, D Ghoshdastidar, ... | | |
