Generative Adversarial Learning of Sinkhorn Algorithm Initializations. - Jonathan Geuter; Vaios Laschos (CoRR, 2022)

Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models. - Michael Günther 002; Louis Milliken; Jonathan Geuter; Georgios Mastrapas; Bo Wang 096; Han Xiao (CoRR, 2023)

DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows. - Jonathan Geuter; Clément Bonet; Anna Korba; David Alvarez-Melis (AISTATS, 2025)

Guided Speculative Inference for Efficient Test-Time Alignment of LLMs. - Jonathan Geuter; Youssef Mroueh; David Alvarez-Melis (CoRR, 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, 2025)