Neural Conditional Gradients. - Patrick Schramowski; Christian Bauckhage; Kristian Kersting (CoRR, 2018)

Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices. - Sophie F. Jentzsch; Patrick Schramowski; Constantin A. Rothkopf; Kristian Kersting (AIES, 2019)

BERT has a Moral Compass: Improvements of ethical and moral values of machines. - Patrick Schramowski; Cigdem Turan; Sophie F. Jentzsch; Constantin A. Rothkopf; Kristian Kersting (CoRR, 2019)

Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range. - Anna Brugger; Jan Behmann; Stefan Paulus; Hans-Georg Luigs; Matheus Thomas Kuska; Patrick Schramowski; Kristian Kersting; Ulrike Steiner; Anne-Katrin Mahlein (Remote. Sens., 2019)

Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks. - Alejandro Molina 001; Patrick Schramowski; Kristian Kersting (ICLR, 2020)

Alfie: An Interactive Robot with Moral Compass. - Cigdem Turan; Patrick Schramowski; Constantin A. Rothkopf; Kristian Kersting (ICMI, 2020)

Right for the Wrong Scientific Reasons: Revising Deep Networks by Interacting with their Explanations. - Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting (CoRR, 2020)

The Moral Choice Machine. - Patrick Schramowski; Cigdem Turan; Sophie F. Jentzsch; Constantin A. Rothkopf; Kristian Kersting (Frontiers Artif. Intell., 2020)

Making deep neural networks right for the right scientific reasons by interacting with their explanations. - Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting (Nat. Mach. Intell., 2020)

Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions. - Xiaoting Shao; Arseny Skryagin; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting (AAAI, 2021)

Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations. - Wolfgang Stammer; Patrick Schramowski; Kristian Kersting (CVPR, 2021)

Recurrent Rational Networks. - Quentin Delfosse; Patrick Schramowski; Alejandro Molina 001; Kristian Kersting (CoRR, 2021)

Language Models have a Moral Dimension. - Patrick Schramowski; Cigdem Turan; Nico Andersen; Constantin A. Rothkopf; Kristian Kersting (CoRR, 2021)

Interactively Generating Explanations for Transformer Language Models. - Patrick Schramowski; Felix Friedrich; Christopher Tauchmann; Kristian Kersting (CoRR, 2021)

Inferring Offensiveness In Images From Natural Language Supervision. - Patrick Schramowski; Kristian Kersting (CoRR, 2021)

Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. - Wolfgang Stammer; Marius Memmel; Patrick Schramowski; Kristian Kersting (CVPR, 2022)

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content? - Patrick Schramowski; Christopher Tauchmann; Kristian Kersting (FAccT, 2022)

Interactively Providing Explanations for Transformer Language Models. - Felix Friedrich; Patrick Schramowski; Christopher Tauchmann; Kristian Kersting (HHAI, 2022)

LAION-5B: An open large-scale dataset for training next generation image-text models. - Christoph Schuhmann; Romain Beaumont; Richard Vencu; Cade Gordon; Ross Wightman; Mehdi Cherti; Theo Coombes; Aarush Katta; Clayton Mullis; Mitchell Wortsman; Patrick Schramowski; Srivatsa Kundurthy; et al. (NeurIPS, 2022)

A Typology to Explore and Guide Explanatory Interactive Machine Learning. - Felix Friedrich; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting (CoRR, 2022)

Do Multilingual Language Models Capture Differing Moral Norms? - Katharina Hämmerl; Björn Deiseroth; Patrick Schramowski; Jindrich Libovický; Alexander Fraser 001; Kristian Kersting (CoRR, 2022)

ILLUME: Rationalizing Vision-Language Models by Interacting with their Jabber. - Manuel Brack; Patrick Schramowski; Björn Deiseroth; Kristian Kersting (CoRR, 2022)

LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems. - Björn Deiseroth; Patrick Schramowski; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting (CoRR, 2022)

Revision Transformers: Getting RiT of No-Nos. - Felix Friedrich; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting (CoRR, 2022)

The Stable Artist: Steering Semantics in Diffusion Latent Space. - Manuel Brack; Patrick Schramowski; Felix Friedrich; Dominik Hintersdorf; Kristian Kersting (CoRR, 2022)

Large pre-trained language models contain human-like biases of what is right and wrong to do. - Patrick Schramowski; Cigdem Turan; Nico Andersen; Constantin A. Rothkopf; Kristian Kersting (Nat. Mach. Intell., 2022)

Speaking Multiple Languages Affects the Moral Bias of Language Models. - Katharina Hämmerl; Björn Deiseroth; Patrick Schramowski; Jindrich Libovický; Constantin A. Rothkopf; Alexander Fraser 001; Kristian Kersting (ACL (Findings), 2023)

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models. - Patrick Schramowski; Manuel Brack; Björn Deiseroth; Kristian Kersting (CVPR, 2023)

Revision Transformers: Instructing Language Models to Change Their Values. - Felix Friedrich; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting (ECAI, 2023)

ILLUME: Rationalizing Vision-Language Models through Human Interactions. - Manuel Brack; Patrick Schramowski; Björn Deiseroth; Kristian Kersting (ICML, 2023)

MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation. - Marco Bellagente; Manuel Brack; Hannah Teufel; Felix Friedrich; Björn Deiseroth; Constantin Eichenberg; Andrew Dai 001; Robert Baldock; Souradeep Nanda; Koen Oostermeijer; Andrés Felipe Cruz-Salinas; Patrick Schramowski; et al. (NeurIPS, 2023)

SEGA: Instructing Text-to-Image Models using Semantic Guidance. - Manuel Brack; Felix Friedrich; Dominik Hintersdorf; Lukas Struppek; Patrick Schramowski; Kristian Kersting (NeurIPS, 2023)

ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. - Björn Deiseroth; Mayukh Deb; Samuel Weinbach; Manuel Brack; Patrick Schramowski; Kristian Kersting (NeurIPS, 2023)

AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation. - Mayukh Deb; Björn Deiseroth; Samuel Weinbach; Patrick Schramowski; Kristian Kersting (CoRR, 2023)

SEGA: Instructing Diffusion using Semantic Dimensions. - Manuel Brack; Felix Friedrich; Dominik Hintersdorf; Lukas Struppek; Patrick Schramowski; Kristian Kersting (CoRR, 2023)

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness. - Felix Friedrich; Patrick Schramowski; Manuel Brack; Lukas Struppek; Dominik Hintersdorf; Sasha Luccioni; Kristian Kersting (CoRR, 2023)

Image Classifiers Leak Sensitive Attributes About Their Classes. - Lukas Struppek; Dominik Hintersdorf; Felix Friedrich; Manuel Brack; Patrick Schramowski; Kristian Kersting (CoRR, 2023)

Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness? - Manuel Brack; Felix Friedrich; Patrick Schramowski; Kristian Kersting (CoRR, 2023)

Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge. - Manuel Brack; Patrick Schramowski; Kristian Kersting (CoRR, 2023)

Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis. - Lukas Struppek; Dominik Hintersdorf; Felix Friedrich; Manuel Brack; Patrick Schramowski; Kristian Kersting (J. Artif. Intell. Res., 2023)

Self-Supervised Learning of Machine Ethics. - Patrick Schramowski (2023)

A typology for exploring the mitigation of shortcut behaviour. - Felix Friedrich; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting (Nat. Mac. Intell., 2023)

Explanatory Interactive Machine Learning. - Nicolas Pfeuffer; Lorenz Baum; Wolfgang Stammer; Benjamin M. Abdel-Karim; Patrick Schramowski; Andreas M. Bucher; Christian Hügel; Gernot Rohde; Kristian Kersting; Oliver Hinz (Bus. Inf. Syst. Eng., 2023)

LEDITS++: Limitless Image Editing Using Text-to-Image Models. - Manuel Brack; Felix Friedrich; Katharina Kornmeier; Linoy Tsaban; Patrick Schramowski; Kristian Kersting; Apolinário Passos (CVPR, 2024)

T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. - Björn Deiseroth; Manuel Brack; Patrick Schramowski; Kristian Kersting; Samuel Weinbach (EMNLP, 2024)

Adaptive Rational Activations to Boost Deep Reinforcement Learning. - Quentin Delfosse; Patrick Schramowski; Martin Mundt; Alejandro Molina 001; Kristian Kersting (ICLR, 2024)

Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint). - Lukas Struppek; Dominik Hintersdorf; Felix Friedrich; Manuel Brack; Patrick Schramowski; Kristian Kersting (IJCAI, 2024)

Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization. - Björn Deiseroth; Max Meuer; Nikolas Gritsch; Constantin Eichenberg; Patrick Schramowski; Matthias Aßenmacher; Kristian Kersting (NAACL-HLT, 2024)

DeiSAM: Segment Anything with Deictic Prompting. - Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting (NeurIPS, 2024)

Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation. - Eleftherios Avramidis; Annika Grützner-Zahn; Manuel Brack; Patrick Schramowski; Pedro Ortiz Suarez; Malte Ostendorff; Fabio Barth; Shushen Manakhimova; Vivien Macketanz; Georg Rehm; Kristian Kersting (WMT, 2024)

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You. - Felix Friedrich; Katharina Hämmerl; Patrick Schramowski; Jindrich Libovický; Kristian Kersting; Alexander Fraser 001 (CoRR, 2024)

ALERT: A Comprehensive Benchmark for Assessing Large Language Models' Safety through Red Teaming. - Simone Tedeschi; Felix Friedrich; Patrick Schramowski; Kristian Kersting; Roberto Navigli; Huu Nguyen; Bo Li (CoRR, 2024)

Introducing v0.5 of the AI Safety Benchmark from MLCommons. - Bertie Vidgen; Adarsh Agrawal; Ahmed M. Ahmed 004; Victor Akinwande; Namir Al-Nuaimi; Najla Alfaraj; Elie Alhajjar; Lora Aroyo; Trupti Bavalatti; Borhane Blili-Hamelin; Kurt D. Bollacker; Rishi Bomassani; et al. (CoRR, 2024)

LLavaGuard: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment. - Lukas Helff; Felix Friedrich; Manuel Brack; Kristian Kersting; Patrick Schramowski (CoRR, 2024)

T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings. - Björn Deiseroth; Manuel Brack; Patrick Schramowski; Kristian Kersting; Samuel Weinbach (CoRR, 2024)

Soft Begging: Modular and Efficient Shielding of LLMs against Prompt Injection and Jailbreaking based on Prompt Tuning. - Simon Ostermann 002; Kevin Baum 001; Christoph Endres; Julia Masloh; Patrick Schramowski (CoRR, 2024)

Core Tokensets for Data-efficient Sequential Training of Transformers. - Subarnaduti Paul; Manuel Brack; Patrick Schramowski; Kristian Kersting; Martin Mundt (CoRR, 2024)

SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs. - Ruben Härle; Felix Friedrich; Manuel Brack; Björn Deiseroth; Patrick Schramowski; Kristian Kersting (CoRR, 2024)

LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps. - Felix Friedrich; Simone Tedeschi; Patrick Schramowski; Manuel Brack; Roberto Navigli; Huu Nguyen; Bo Li; Kristian Kersting (CoRR, 2024)

Does CLIP Know My Face? - Dominik Hintersdorf; Lukas Struppek; Manuel Brack; Felix Friedrich; Patrick Schramowski; Kristian Kersting (J. Artif. Intell. Res., 2024)

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes. - Felix Friedrich; Katharina Hämmerl; Patrick Schramowski; Manuel Brack; Jindrich Libovický; Alexander Fraser 001; Kristian Kersting (ACL (1), 2025)

MSTS: A Multimodal Safety Test Suite for Vision-Language Models. - Paul Röttger; Giuseppe Attanasio; Felix Friedrich; Janis Goldzycher; Alicia Parrish; Rishabh Bhardwaj; Chiara Di Bonaventura; Roman Eng; Gaia El Khoury Geagea; Subhra S. Goswami; Jieun Han; Dirk Hovy; et al. (CoRR, 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade–Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models. - Mehdi Ali; Manuel Brack; Max Lübbering; Elias Wendt; Abbas Goher Khan; Richard Rutmann; Alex Jude; Maurice Kraus; Alexander Arno Weber; David Kaczér; Florian Mai; Lucie Flek; et al. (CoRR, 2025)

Auditing and instructing text-to-image generation models on fairness. - Felix Friedrich; Manuel Brack; Lukas Struppek; Dominik Hintersdorf; Patrick Schramowski; Sasha Luccioni; Kristian Kersting (AI Ethics, 2025)

SLR: An Automated Synthesis Framework for Scalable Logical Reasoning. - Lukas Helff; Ahmad Omar; Felix Friedrich; Wolfgang Stammer; Antonia Wüst; Tim Woydt; Rupert Mitchell; Patrick Schramowski; Kristian Kersting (CoRR, 2025)

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions. - Manuel Brack; Sudeep Katakol; Felix Friedrich; Patrick Schramowski; Hareesh Ravi; Kristian Kersting; Ajinkya Kale (CoRR, 2025)

Measuring and Guiding Monosemanticity. - Ruben Härle; Felix Friedrich; Manuel Brack; Stephan Wäldchen; Björn Deiseroth; Patrick Schramowski; Kristian Kersting (CoRR, 2025)

Beyond Overcorrection: Evaluating Diversity in T2I Models with DivBench. - Felix Friedrich; Thiemo Ganesha Welsch; Manuel Brack; Patrick Schramowski; Kristian Kersting (CoRR, 2025)

ART: Adaptive Relation Tuning for Generalized Relation Prediction. - Gopika Sudhakaran; Hikaru Shindo; Patrick Schramowski; Simone Schaub-Meyer; Kristian Kersting; Stefan Roth 001 (CoRR, 2025)