Jonathan Geuter

According to our database, Jonathan Geuter authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

Stop Training for the Worst: Progressive Unmasking Accelerates Masked Diffusion Training.

Jaeyeon Kim, Jonathan Geuter, David Alvarez-Melis, Sham M. Kakade, Sitan Chen

CoRR, February, 2026

2025

RoBoN: Routed Online Best-of-n for Test-Time Scaling with Multiple LLMs.

Jonathan Geuter, Gregor Kornhardt

CoRR, December, 2025

Boomerang Distillation Enables Zero-Shot Model Size Interpolation.

Sara Kangaslahti, Nihal V. Nayak, Jonathan Geuter, Marco Fumero, Francesco Locatello, David Alvarez-Melis

CoRR, October, 2025

Entropy-Driven Pre-Tokenization for Byte-Pair Encoding.

Yifan Hu, Frank Liang, Dachuan Zhao, Jonathan Geuter, Varshini Reddy, Craig W. Schmidt, Chris Tanner

CoRR, June, 2025

Guided Speculative Inference for Efficient Test-Time Alignment of LLMs.

Jonathan Geuter, Youssef Mroueh, David Alvarez-Melis

CoRR, June, 2025

Universal Neural Optimal Transport.

Jonathan Geuter, Gregor Kornhardt, Ingimar Tomasson, Vaios Laschos

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

DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows.

Jonathan Geuter, Clément Bonet, Anna Korba, David Alvarez-Melis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2023

Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models.

Michael Günther, Louis Milliken, Jonathan Geuter, Georgios Mastrapas, Bo Wang, Han Xiao

CoRR, 2023

2022

Generative Adversarial Learning of Sinkhorn Algorithm Initializations.

Jonathan Geuter, Vaios Laschos

CoRR, 2022