Manuel Brack

According to our database¹, Manuel Brack authored at least 33 papers between 2022 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Beyond Overcorrection: Evaluating Diversity in T2I Models with DivBench.

[BibT_eX]

[DOI]

Felix Friedrich

Thiemo Ganesha Welsch

Manuel Brack

Patrick Schramowski

Kristian Kersting

CoRR, July, 2025

Measuring and Guiding Monosemanticity.

[BibT_eX]

[DOI]

CoRR, June, 2025

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions.

[BibT_eX]

[DOI]

CoRR, June, 2025

Auditing and instructing text-to-image generation models on fairness.

[BibT_eX]

[DOI]

AI Ethics, June, 2025

Judging Quality Across Languages: A Multilingual Approach to Pretraining Data Filtering with Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

Multilingual Text-to-Image Generation Magnifies Gender Stereotypes.

[BibT_eX]

[DOI]

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

2024

Learning by Self-Explaining.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Does CLIP Know My Face?

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2024

LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Gaps.

[BibT_eX]

[DOI]

CoRR, 2024

SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Core Tokensets for Data-efficient Sequential Training of Transformers.

[BibT_eX]

[DOI]

CoRR, 2024

T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation.

[BibT_eX]

[DOI]

Eleftherios Avramidis

Proceedings of the Ninth Conference on Machine Translation, 2024

DeiSAM: Segment Anything with Deictic Prompting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

2023

Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2023

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

[BibT_eX]

[DOI]

Manuel Brack

Patrick Schramowski

Kristian Kersting

CoRR, 2023

Mitigating Inappropriateness in Image Generation: Can there be Value in Reflecting the World's Ugliness?

[BibT_eX]

[DOI]

CoRR, 2023

Image Classifiers Leak Sensitive Attributes About Their Classes.

[BibT_eX]

[DOI]

CoRR, 2023

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness.

[BibT_eX]

[DOI]

CoRR, 2023

SEGA: Instructing Diffusion using Semantic Dimensions.

[BibT_eX]

[DOI]

CoRR, 2023

ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Constantin Eichenberg

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models.

[BibT_eX]

[DOI]

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

2022

The Stable Artist: Steering Semantics in Diffusion Latent Space.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

Manuel Brack

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