Secure Computations on Non-Integer Values. - Martin Franz; Björn Deiseroth; Kay Hamacher; Somesh Jha; Stefan Katzenbeisser 001; Heike Schröder (IACR Cryptol. ePrint Arch., 2010)

Towards Secure Bioinformatics Services (Short Paper). - Martin Franz; Björn Deiseroth; Kay Hamacher; Somesh Jha; Stefan Katzenbeisser 001; Heike Schröder (Financial Cryptography, 2011)

Computing on Authenticated Data for Adjustable Predicates. - Björn Deiseroth; Victoria Fehr; Marc Fischlin; Manuel Maasz; Nils Fabian Reimers; Richard Stein (IACR Cryptol. ePrint Arch., 2013)

Secure computations on non-integer values with applications to privacy-preserving sequence analysis. - Martin Franz; Björn Deiseroth; Kay Hamacher; Somesh Jha; Stefan Katzenbeisser 001; Heike Schröder (Inf. Secur. Tech. Rep., 2013)

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)

M-VADER: A Model for Diffusion with Multimodal Context. - Samuel Weinbach; Marco Bellagente; Constantin Eichenberg; Andrew Dai 001; Robert Baldock; Souradeep Nanda; Björn Deiseroth; Koen Oostermeijer; Hannah Teufel; Andrés Felipe Cruz-Salinas (CoRR, 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)

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)

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)

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)

Mechanistic Design and Scaling of Hybrid Architectures. - Michael Poli; Armin W. Thomas; Eric Nguyen; Pragaash Ponnusamy; Björn Deiseroth; Kristian Kersting; Taiji Suzuki; Brian L. Hie; Stefano Ermon; Christopher Ré; Ce Zhang 001; Stefano Massaroli (ICML, 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)

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)

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)

u-μP: The Unit-Scaled Maximal Update Parametrization. - Charlie Blake; Constantin Eichenberg; Josef Dean; Lukas Balles; Luke Yuri Prince; Björn Deiseroth; Andrés Felipe Cruz-Salinas; Carlo Luschi; Samuel Weinbach; Douglas Orr (ICLR, 2025)

Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models. - Pit Neitemeier; Björn Deiseroth; Constantin Eichenberg; Lukas Balles (ICLR, 2025)

Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generation. - Thomas F. Burns; Letitia Parcalabescu; Stephan Wäldchen; Michael Barlow; Gregor Ziegltrum; Volker Stampa; Bastian Harren; Björn Deiseroth (CoRR, 2025)

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