| Laion-5b: An open large-scale dataset for training next generation image-text models C Schuhmann, R Beaumont, R Vencu, C Gordon, R Wightman, M Cherti, ... arXiv preprint arXiv:2210.08402, 2022 | 261 | 2022 |
| 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 | 139* | 2020 |
| Large pre-trained language models contain human-like biases of what is right and wrong to do P Schramowski, C Turan, N Andersen, CA Rothkopf, K Kersting Nature Machine Intelligence 4 (3), 258-268, 2022 | 69* | 2022 |
| Right for the right concept: Revising neuro-symbolic concepts by interacting with their explanations W Stammer, P Schramowski, K Kersting Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 52 | 2021 |
| Pad\'e Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks A Molina, P Schramowski, K Kersting arXiv preprint arXiv:1907.06732, 2019 | 51 | 2019 |
| Semantics derived automatically from language corpora contain human-like moral choices S Jentzsch, P Schramowski, C Rothkopf, K Kersting Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 37-44, 2019 | 44 | 2019 |
| Extending hyperspectral imaging for plant phenotyping to the UV-range A Brugger, J Behmann, S Paulus, HG Luigs, MT Kuska, P Schramowski, ... Remote Sensing 11 (12), 1401, 2019 | 38 | 2019 |
| The moral choice machine P Schramowski, C Turan, S Jentzsch, C Rothkopf, K Kersting Frontiers in artificial intelligence, 36, 2020 | 29 | 2020 |
| Right for better reasons: Training differentiable models by constraining their influence functions X Shao, A Skryagin, W Stammer, P Schramowski, K Kersting Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9533-9540, 2021 | 24 | 2021 |
| BERT has a Moral Compass: Improvements of ethical and moral values of machines P Schramowski, C Turan, S Jentzsch, C Rothkopf, K Kersting arXiv preprint arXiv:1912.05238, 2019 | 17 | 2019 |
| Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models P Schramowski, M Brack, B Deiseroth, K Kersting Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content? P Schramowski, C Tauchmann, K Kersting 2022 ACM Conference on Fairness, Accountability, and Transparency, 1350-1361, 2022 | 11* | 2022 |
| Spectral signatures in the UV range can be combined with secondary plant metabolites by deep learning to characterize barley–powdery mildew interaction A Brugger, P Schramowski, S Paulus, U Steiner, K Kersting, AK Mahlein Plant Pathology 70 (7), 1572-1582, 2021 | 11 | 2021 |
| Interactive disentanglement: Learning concepts by interacting with their prototype representations W Stammer, M Memmel, P Schramowski, K Kersting Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
| A typology for exploring the mitigation of shortcut behaviour F Friedrich, W Stammer, P Schramowski, K Kersting Nature Machine Intelligence 5 (3), 319-330, 2023 | 8* | 2023 |
| The Stable Artist: Steering Semantics in Diffusion Latent Space M Brack, P Schramowski, F Friedrich, D Hintersdorf, K Kersting arXiv preprint arXiv:2212.06013, 2022 | 5 | 2022 |
| Recurrent rational networks Q Delfosse, P Schramowski, A Molina, K Kersting arXiv preprint arXiv:2102.09407, 2021 | 5 | 2021 |
| Neural conditional gradients P Schramowski, C Bauckhage, K Kersting arXiv preprint arXiv:1803.04300, 2018 | 5 | 2018 |
| Sega: Instructing diffusion using semantic dimensions M Brack, F Friedrich, D Hintersdorf, L Struppek, P Schramowski, ... arXiv preprint arXiv:2301.12247, 2023 | 4 | 2023 |
| Fair diffusion: Instructing text-to-image generation models on fairness F Friedrich, P Schramowski, M Brack, L Struppek, D Hintersdorf, ... arXiv preprint arXiv:2302.10893, 2023 | 3 | 2023 |
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
