publications

Publications in reversed chronological order. For a complete list, see Google Scholar.

2025

  1. ICML (Workshop)
    Guided Speculative Inference for Efficient Test-Time Alignment of LLMs
    Jonathan Geuter, Youssef Mroueh, and David Alvarez-Melis
    Accepted to 3rd Workshop for Efficient Systems for Foundation Models at ICML (Spotlight) , 2025
  2. ICML (Workshop)
    Entropy-Driven Pre-Tokenization for Byte-Pair Encoding
    Yifan Hu, Frank Liang, Dachuan Zhao, Jonathan Geuter, Varshini Reddy, Craig W. Schmidt, and Chris Tanner
    Accepted to Tokenization Workshop at ICML , 2025
  3. AISTATS
    DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
    Jonathan Geuter, Clément Bonet, Anna Korba, and David Alvarez-Melis
    Accepted to The 28th International Conference on Artificial Intelligence and Statistics (AISTATS) , 2025
  4. ICML
    Universal Neural Optimal Transport
    Jonathan Geuter, Gregor Kornhardt, Ingimar Tomasson, and Vaios Laschos
    Accepted to Forty-second International Conference on Machine Learning (ICML) , 2025

2023

  1. EMNLP (Workshop)
    Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models
    Michael Günther, Louis Milliken, Jonathan Geuter, Georgios Mastrapas, Bo Wang, and Han Xiao
    Accepted to 3rd Workshop for Natural Language Processing Open Source Software at EMNLP , 2023

2022

  1. A Sinkhorn-NN Hybrid Algorithm for Optimal Transport
    Jonathan Geuter
    Technische Universität Berlin and Weierstrass Institute. Master’s thesis, supervised by Dr. Vaios Laschos and Prof. Dr. Martin Skutella , 2022

2020

  1. Nonlinear Korn Inequalities
    Jonathan Geuter
    Bachelor’s thesis, supervised by Prof. Dr. Barbara Zwicknagl and Dr. Hans-Christian Kreusler , 2020