Patrick Schramowski
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Explainable Artificial Intelligence (XAI), Generative Adversarial Networks and Image Synthesis, Multimodal Machine Learning Applications
Most-Cited Works
- → LAION-5B: An open large-scale dataset for training next generation image-text models(2022)1,035 cited
- → Large pre-trained language models contain human-like biases of what is right and wrong to do(2022)269 cited
- → Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models(2023)137 cited
- → Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices(2019)52 cited
- → LEDITS++: Limitless Image Editing Using Text-to-Image Models(2024)52 cited
- → Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?(2022)41 cited
- → Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range(2019)37 cited
- → Auditing and instructing text-to-image generation models on fairness(2024)34 cited
- → The Moral Choice Machine(2020)30 cited
- → Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness(2023)28 cited