| Learning functional causal models with generative neural networks O Goudet, D Kalainathan, P Caillou, I Guyon, D Lopez-Paz, M Sebag Explainable and interpretable models in computer vision and machine learning …, 2018 | 194 | 2018 |
| Causal discovery toolbox: Uncovering causal relationships in python D Kalainathan, O Goudet, R Dutta Journal of Machine Learning Research 21 (37), 1-5, 2020 | 158 | 2020 |
| Explainable and interpretable models in computer vision and machine learning HJ Escalante, S Escalera, I Guyon, X Baró, Y Güçlütürk, U Güçlü, ... Springer International Publishing, 2018 | 151 | 2018 |
| Structural agnostic modeling: Adversarial learning of causal graphs D Kalainathan, O Goudet, I Guyon, D Lopez-Paz, M Sebag Journal of Machine Learning Research 23 (219), 1-62, 2022 | 106 | 2022 |
| Causal generative neural networks O Goudet, D Kalainathan, P Caillou, I Guyon, D Lopez-Paz, M Sebag arXiv preprint arXiv:1711.08936, 2017 | 63 | 2017 |
| Sam: Structural agnostic model, causal discovery and penalized adversarial learning D Kalainathan, O Goudet, I Guyon, D Lopez-Paz, M Sebag | 43 | 2018 |
| Cause effect pairs in machine learning I Guyon, A Statnikov, BB Batu Springer, 2019 | 37 | 2019 |
| Generative Neural Networks to infer Causal Mechanisms: algorithms and applications D Kalainathan Université Paris Saclay (COmUE), 2019 | 14 | 2019 |
| Learning bivariate functional causal models O Goudet, D Kalainathan, M Sebag, I Guyon Cause effect pairs in machine learning, 101-153, 2019 | 8 | 2019 |
| Evaluation methods of cause-effect pairs I Guyon, O Goudet, D Kalainathan Cause Effect Pairs in Machine Learning, 27-99, 2019 | 7 | 2019 |
| Reproducing” world models”. is training the recurrent network really needed C Tallec, L Blier, D Kalainathan | 7 | 2018 |
| Design and analysis of experiments: A challenge approach in teaching A Pavao, D Kalainathan, L Sun-Hosoya, K Bennett, I Guyon NeurIPS 2019-33th Annual Conference on Neural Information Processing Systems, 2019 | 5 | 2019 |
| Portraits de travailleurs D Kalainathan, O Goudet, P Caillou, M Sebag, P Tubaro, E Bourdu, T Weil HAL Post-Print, 2017 | 5 | 2017 |
| Causal discovery toolbox: Uncover causal relationships in python; 2019 D Kalainathan, O Goudet URL https://arxiv. org/abs, 1903 | 5 | 1903 |
| Les conditions de travail et de santé des actifs agricoles E Midler, T Bellec, B Isabelle, N Deffontaines, N Hostiou, ... Actif’Agri. Transformations des emplois et des activités en agriculture, 2019 | 4 | 2019 |
| Qualité de vie au travail et santé économique des entreprises: étude des causalités P Caillou, D Kalainathan, O Goudet, I Guyon, M Sebag, P Tubaro, ... Le travail en mouvement, 57-77, 2019 | 2 | 2019 |
| Discriminant learning machines D Kalainathan, O Goudet, M Sebag, I Guyon Cause Effect Pairs in Machine Learning, 155-189, 2019 | 1 | 2019 |
| Conditions objectives de travail et ressenti des individus: le rôle du management D Kalainathan, O Goudet, P Caillou, M Sebag, P Tubaro | 1 | 2017 |
| Design and preliminary evaluation of team based competitions in video forecasting F Popescu, I Guyon, L Sun, D Kalainathan, S Treguer, C Capponi, ... | | 2017 |
| Verified details D Kalainathan, CD Toolbox | | |
