| Making deep neural networks right for the right scientific reasons by interacting with their explanations P Schramowski, W Stammer, S Teso, A Brugger, F Herbert, X Shao, ... Nature Machine Intelligence 2 (8), 476-486, 2020 | 70 | 2020 |
| Random sum-product networks: A simple and effective approach to probabilistic deep learning R Peharz, A Vergari, K Stelzner, A Molina, X Shao, M Trapp, K Kersting, ... Uncertainty in Artificial Intelligence, 334-344, 2020 | 60 | 2020 |
| Conditional sum-product networks: Imposing structure on deep probabilistic architectures X Shao, A Molina, A Vergari, K Stelzner, R Peharz, T Liebig, K Kersting International Conference on Probabilistic Graphical Models, 401-412, 2020 | 26 | 2020 |
| Right for the wrong scientific reasons: Revising deep networks by interacting with their explanations P Schramowski, W Stammer, S Teso, A Brugger, HG Luigs, AK Mahlein, ... arXiv preprint arXiv:2001.05371, 2020 | 18 | 2020 |
| Neural-symbolic argumentation mining: An argument in favor of deep learning and reasoning A Galassi, K Kersting, M Lippi, X Shao, P Torroni Frontiers in big Data 2, 52, 2020 | 11 | 2020 |
| Right for better reasons: Training differentiable models by constraining their influence function X Shao, A Skryagin, P Schramowski, W Stammer, K Kersting Proceedings of 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 | 9 | 2021 |
| Towards understanding and arguing with classifiers: Recent progress X Shao, T Rienstra, M Thimm, K Kersting Datenbank-Spektrum 20 (2), 171-180, 2020 | 2 | 2020 |
| Conditional sum-product networks: Modular probabilistic circuits via gate functions X Shao, A Molina, A Vergari, K Stelzner, R Peharz, T Liebig, K Kersting International Journal of Approximate Reasoning 140, 298-313, 2022 | 1 | 2022 |
| Gradient-based Counterfactual Explanations using Tractable Probabilistic Models X Shao, K Kersting arXiv preprint arXiv:2205.07774, 2022 | | 2022 |
| Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement X Shao, K Stelzner, K Kersting arXiv preprint arXiv:2202.00391, 2022 | | 2022 |
| Modelling Multivariate Ranking Functions with Min-Sum Networks X Shao, Z Yu, A Skryagin, T Rienstra, M Thimm, K Kersting International Conference on Scalable Uncertainty Management, 281-288, 2020 | | 2020 |
| Independence and D-separation in Abstract Argumentation T Rienstra, M Thimm, K Kersting, X Shao Proceedings of the International Conference on Principles of Knowledge …, 2020 | | 2020 |
Kristian KerstingProfessor of AI & Machine Learning, TU Darmstadt, Co-Director of hessian.ai, Germany, CLAIRE & ELLISVahvistettu sähköpostiosoite verkkotunnuksessa cs.tu-darmstadt.de
