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Patrick Schramowski
Patrick Schramowski
在 cs.tu-darmstadt.de 的电子邮件经过验证
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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, ...
Advances in Neural Information Processing Systems 35, 25278-25294, 2022
18722022
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
2292020
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
2272022
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
1162023
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
932021
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
742019
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
742019
Fair diffusion: Instructing text-to-image generation models on fairness
F Friedrich, M Brack, L Struppek, D Hintersdorf, P Schramowski, ...
arXiv preprint arXiv:2302.10893, 2023
562023
Sega: Instructing text-to-image models using semantic guidance
M Brack, F Friedrich, D Hintersdorf, L Struppek, P Schramowski, ...
Advances in Neural Information Processing Systems 36, 2024
54*2024
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
432019
The moral choice machine
P Schramowski, C Turan, S Jentzsch, C Rothkopf, K Kersting
Frontiers in artificial intelligence 3, 516840, 2020
402020
Can machines help us answering question 16 in datasheets, and in turn reflecting on inappropriate content?
P Schramowski, C Tauchmann, K Kersting
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
352022
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
342021
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
262019
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
23*2023
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
212022
Ledits++: Limitless image editing using text-to-image models
M Brack, F Friedrich, K Kornmeier, L Tsaban, P Schramowski, K Kersting, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
20*2024
Multifusion: Fusing pre-trained models for multi-lingual, multi-modal image generation
M Bellagente, M Brack, H Teufel, F Friedrich, B Deiseroth, C Eichenberg, ...
Advances in Neural Information Processing Systems 36, 2024
19*2024
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
182021
Speaking multiple languages affects the moral bias of language models
K Hämmerl, B Deiseroth, P Schramowski, J Libovický, CA Rothkopf, ...
arXiv preprint arXiv:2211.07733, 2022
162022
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