| Learning to intervene on concept bottlenecks D Steinmann, W Stammer, F Friedrich, K Kersting arXiv preprint arXiv:2308.13453, 2023 | 6 | 2023 |
| Learning by Self-Explaining W Stammer, F Friedrich, D Steinmann, H Shindo, K Kersting arXiv preprint arXiv:2309.08395, 2023 | 2 | 2023 |
| One Explanation Does Not Fit XIL F Friedrich, D Steinmann, K Kersting arXiv preprint arXiv:2304.07136, 2023 | 1 | 2023 |
| Neural Concept Binder W Stammer, A Wüst, D Steinmann, K Kersting arXiv preprint arXiv:2406.09949, 2024 | | 2024 |
| United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once M Kraus, F Divo, D Steinmann, DS Dhami, K Kersting arXiv preprint arXiv:2402.15404, 2024 | | 2024 |
| Right on Time: Revising Time Series Models by Constraining their Explanations M Kraus, D Steinmann, A Wüst, A Kokozinski, K Kersting arXiv preprint arXiv:2402.12921, 2024 | | 2024 |
| Machines Explaining Linear Programs D Steinmann, M Zečević, DS Dhami, K Kersting arXiv preprint arXiv:2206.07194, 2022 | | 2022 |
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLIS在 cs.tu-darmstadt.de 的电子邮件经过验证
