Manuel Brack

According to our database, Manuel Brack authored at least 39 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ActivationReasoning: Logical Reasoning in Latent Activation Spaces.

Lukas Helff, Ruben Härle, Wolfgang Stammer, Felix Friedrich, Manuel Brack, Antonia Wüst, Hikaru Shindo, Patrick Schramowski, Kristian Kersting

CoRR, October, 2025

UniFusion: Vision-Language Model as Unified Encoder in Image Generation.

Kevin Li, Manuel Brack, Sudeep Katakol, Hareesh Ravi, Ajinkya Kale

CoRR, October, 2025

CHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models.

Niharika Hegde, Subarnaduti Paul, Lars-Joel Frey, Manuel Brack, Kristian Kersting, Martin Mundt, Patrick Schramowski

CoRR, September, 2025

Beyond Overcorrection: Evaluating Diversity in T2I Models with DivBench.

Felix Friedrich, Thiemo Ganesha Welsch, Manuel Brack, Patrick Schramowski, Kristian Kersting

CoRR, July, 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, June, 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, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Patrick Schramowski, Michael Fromm, Kristian Kersting

CoRR, May, 2025

The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation.

Martin Mundt, Anaelia Ovalle, Felix Friedrich, A Pranav, Subarnaduti Paul, Manuel Brack, Kristian Kersting, William Agnew

CoRR, February, 2025

Instructing Generative Image Models - From Semantics to Society.

Manuel Brack

PhD thesis, 2025

Measuring and Guiding Monosemanticity.

Ruben Härle, Felix Friedrich, Manuel Brack, Björn Deiseroth, Stephan Wäldchen, Patrick Schramowski, Kristian Kersting

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models.

Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Core Tokensets for Data-Efficient Sequential Training of Transformers.

Subarnaduti Paul, Manuel Brack, Patrick Schramowski, Kristian Kersting, Martin Mundt

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 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, Felix Stollenwerk, David Kaczér, Florian Mai, Lucie Flek, Rafet Sifa, Nicolas Flores-Herr, Joachim Köhler, Patrick Schramowski, Michael Fromm, Kristian Kersting

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes.

Felix Friedrich, Katharina Hämmerl, Patrick Schramowski, Manuel Brack, Jindrich Libovický, Alexander Fraser, Kristian Kersting

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Learning by Self-Explaining.

Wolfgang Stammer, Felix Friedrich, David Steinmann, Manuel Brack, Hikaru Shindo, Kristian Kersting

Trans. Mach. Learn. Res., 2024

Does CLIP Know My Face?

Dominik Hintersdorf, Lukas Struppek, Manuel Brack, Felix Friedrich, Patrick Schramowski, Kristian Kersting

J. Artif. Intell. Res., 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

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

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

LLavaGuard: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment.

Lukas Helff, Felix Friedrich, Manuel Brack, Kristian Kersting, Patrick Schramowski

CoRR, 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

Proceedings of the Ninth Conference on Machine Translation, 2024

DeiSAM: Segment Anything with Deictic Prompting.

Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint).

Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LEDITS++: Limitless Image Editing Using Text-to-Image Models.

Manuel Brack, Felix Friedrich, Katharina Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, Apolinário Passos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Distilling Adversarial Prompts from Safety Benchmarks: Report for the Adversarial Nibbler Challenge.

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

Image Classifiers Leak Sensitive Attributes About Their Classes.

Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, 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

SEGA: Instructing Diffusion using Semantic Dimensions.

Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting

CoRR, 2023

ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation.

Björn Deiseroth, Mayukh Deb, Samuel Weinbach, Manuel Brack, Patrick Schramowski, Kristian Kersting

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SEGA: Instructing Text-to-Image Models using Semantic Guidance.

Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski, Kristian Kersting

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andrés Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, Samuel Weinbach

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ILLUME: Rationalizing Vision-Language Models through Human Interactions.

Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting

Proceedings of the International Conference on Machine Learning, 2023

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models.

Patrick Schramowski, Manuel Brack, Björn Deiseroth, Kristian Kersting

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

The Stable Artist: Steering Semantics in Diffusion Latent Space.

Manuel Brack, Patrick Schramowski, Felix Friedrich, Dominik Hintersdorf, Kristian Kersting

CoRR, 2022

ILLUME: Rationalizing Vision-Language Models by Interacting with their Jabber.

Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting

CoRR, 2022

How Long Do Vulnerabilities Live in the Code? A Large-Scale Empirical Measurement Study on FOSS Vulnerability Lifetimes.

Nikolaos Alexopoulos, Manuel Brack, Jan Philipp Wagner, Tim Grube, Max Mühlhäuser

Proceedings of the 31st USENIX Security Symposium, 2022