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Patrick Schramowski
Patrick Schramowski
Verified email at cs.tu-darmstadt.de
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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
11812022
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
2022020
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
168*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
812021
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
692023
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
682019
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
622019
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
422019
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
39*2024
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
352023
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
352021
The moral choice machine
P Schramowski, C Turan, S Jentzsch, C Rothkopf, K Kersting
Frontiers in artificial intelligence, 36, 2020
352020
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
282022
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
252019
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
192022
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
172021
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
14*2024
Atman: Understanding transformer predictions through memory efficient attention manipulation
B Deiseroth, M Deb, S Weinbach, M Brack, P Schramowski, K Kersting
arXiv preprint arXiv:2301.08110, 2023
102023
Ledits++: Limitless image editing using text-to-image models
M Brack, F Friedrich, K Kornmeier, L Tsaban, P Schramowski, K Kersting, ...
arXiv preprint arXiv:2311.16711, 2023
9*2023
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