Special Solutions to a Nonlinear Coarsening Model with Local Interactions. - Constantin Eichenberg (J. Nonlinear Sci., 2019)

MAGMA - Multimodal Augmentation of Generative Models through Adapter-based Finetuning. - Constantin Eichenberg; Sidney Black; Samuel Weinbach; Letitia Parcalabescu; Anette Frank (EMNLP (Findings), 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)

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)

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)

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)