Schramowski, Patrick

LAION-5B: An open large-scale dataset for training next generation image-text models

Schuhmann, C., Beaumont, R., Vencu, R., Gordon, C., Wightman, R., Cherti, M., Coombes, T., Katta, A., Mullis, C., Wortsman, M., et al. (2022) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 1,022

LAION-5B: An Open Large-Scale Dataset for Training Next Generation Image-Text Models

Schuhmann, C., Beaumont, R., Vencu, R., Gordon, C., Wightman, R., Cherti, M., Coombes, T., Katta, A., Mullis, C., Wortsman, M., et al. (2022) · Advances in Neural Information Processing Systems 35

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 325

Large pre-trained language models contain human-like biases of what is right and wrong to do

Schramowski, P., Turan, C., Andersen, N., Rothkopf, C. A., & Kersting, K. (2022) · Nature Machine Intelligence

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 291

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Schramowski, P., Brack, M., Deiseroth, B., & Kersting, K. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 219

Making deep neural networks right for the right scientific reasons by interacting with their explanations

Schramowski, P., Stammer, W., Teso, S., Brugger, A., Herbert, F., Shao, X., Luigs, H.-G., Mahlein, A.-K., & Kersting, K. (2020) · Nature Machine Intelligence

Explainable Artificial Intelligence (XAI)Machine Learning and Data Classification

Cited by 207

Do Multilingual Language Models Capture Differing Moral Norms?

Hämmerl, K., Deiseroth, B., Schramowski, P., Libovický, J., Fraser, A., & Kersting, K. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E., Aroyo, L., Bavalatti, T., Bartolo, M., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5

SLR: Automated Synthesis for Scalable Logical Reasoning

Helff, L., Omar, A., Friedrich, F., Wüst, A., Shindo, H., Mitchell, R., Woydt, T., Schramowski, P., Stammer, W., & Kersting, K. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Logic, Reasoning, and KnowledgeNatural Language Processing Techniques

Cited by 0