Constantin Eichenberg

According to our database, Constantin Eichenberg authored at least 9 papers between 2019 and 2026.

Collaborative distances:

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

2026

A Family of LLMs Liberated from Static Vocabularies.

Adnen Abdessaied, Artur Baranowski, Lukas Balles, Michael Barlow, Fabien C. Y. Benureau, Felix Berkenkamp, Lukas Bluebaum, Bastian Boll, Thomas F. Burns, Björn Deiseroth, Constantin Eichenberg, David Friede, Pablo Iyu Guerrero, Ahmed Hammam, Bastian Harren, Johann Higl, Yasser Jadidi, Carina Kauf, Johannes Messner, Jan Hendrik Metzen, Max Meuer, Vedant Nanda, Pit Neitemeier, Koen Oostermeijer, Letitia Parcalabescu, Markus Pernpointner, Felix Reinfurt, Dylan Rodriquez, Grégory Schott, Philipp Siedler, Martin Simonovsky, Till Speicher, Volker Stampa, Stephan Wäldchen, Samuel Weinbach, Gregor Ziegltrum

CoRR, March, 2026

1-Bit Wonder: Improving QAT Performance in the Low-Bit Regime through K-Means Quantization.

Sohir Maskey, Constantin Eichenberg, Johannes Messner, Douglas Orr

CoRR, February, 2026

2025

Hierarchical Autoregressive Transformers: Combining Byte- and Word-Level Processing for Robust, Adaptable Language Models.

Pit Neitemeier, Björn Deiseroth, Constantin Eichenberg, Lukas Balles

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

2022

M-VADER: A Model for Diffusion with Multimodal Context.

Samuel Weinbach, Marco Bellagente, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Björn Deiseroth, Koen Oostermeijer, Hannah Teufel, Andrés Felipe Cruz-Salinas

CoRR, 2022

MAGMA - Multimodal Augmentation of Generative Models through Adapter-based Finetuning.

Constantin Eichenberg, Sidney Black, Samuel Weinbach, Letitia Parcalabescu, Anette Frank

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2019

Special Solutions to a Nonlinear Coarsening Model with Local Interactions.

Constantin Eichenberg

J. Nonlinear Sci., 2019