@misc{kim2026stoptrainingworstprogressive,title={{S}top {T}raining for the {W}orst: {P}rogressive {U}nmasking {A}ccelerates {M}asked {D}iffusion {T}raining},author={Kim, Jaeyeon and Geuter, Jonathan and Alvarez-Melis, David and Kakade, Sham and Chen, Sitan},year={2026},eprint={2602.10314},archiveprefix={arXiv},primaryclass={cs.LG},url={https://arxiv.org/abs/2602.10314},note={In submission}}
ICLR
Boomerang Distillation Enables Zero-Shot Model Size Interpolation
Sara Kangaslahti, Nihal V. Nayak*, Jonathan Geuter*, Marco Fumero, Francesco Locatello, and David Alvarez-Melis
Proceedings of the International Conference on Learning Representations (ICLR) , 2026
Previously accepted at 3rd Workshop on Unifying Representations in Neural Models at NeurIPS 2025
@inproceedings{kangaslahti2025boomerang,author={Kangaslahti, Sara and Nayak, Nihal V. and Geuter, Jonathan and Fumero, Marco and Locatello, Francesco and Alvarez-Melis, David},title={{B}oomerang {D}istillation {E}nables {Z}ero-{S}hot {M}odel {S}ize {I}nterpolation},booktitle={Proceedings of the International Conference on Learning Representations (ICLR)},url={https://arxiv.org/abs/2510.05064},year={2026},note={Previously accepted at 3rd Workshop on Unifying Representations in Neural Models at NeurIPS 2025}}
ICLR
Guided Speculative Inference for Efficient Test-Time Alignment of LLMs
Jonathan Geuter, Youssef Mroueh, and David Alvarez-Melis
Proceedings of the International Conference on Learning Representations (ICLR) , 2026
Previously accepted at 3rd Workshop for Efficient Systems for Foundation Models at ICML 2025 (Spotlight)
@inproceedings{Geuter2025GuidedSpeculative,author={Geuter, Jonathan and Mroueh, Youssef and Alvarez-Melis, David},title={{G}uided {S}peculative {I}nference for {E}fficient {T}est-{T}ime {A}lignment of {LLM}s},booktitle={Proceedings of the International Conference on Learning Representations (ICLR)},url={https://arxiv.org/abs/2506.04118},year={2026},note={Previously accepted at 3rd Workshop for Efficient Systems for Foundation Models at ICML 2025 (Spotlight)},}
2025
NeurIPS (Workshop)
RoBoN: Routed Online Best-of-n for Test-Time Scaling with Multiple LLMs
Jonathan Geuter and Gregor Kornhardt
1st Workshop on Foundations of Reasoning in Language Models at NeurIPS 2025, San Diego, USA , 2025
@inproceedings{geuter2025robon,author={Geuter, Jonathan and Kornhardt, Gregor},title={{R}o{B}o{N}: {R}outed {O}nline {B}est-of-{n} for {T}est-{T}ime {S}caling with {M}ultiple {LLM}s},booktitle={1st Workshop on Foundations of Reasoning in Language Models at NeurIPS 2025, San Diego, USA},year={2025}}
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
@inproceedings{hu2025entropydriven,title={{E}ntropy-{D}riven {P}re-{T}okenization for {B}yte-{P}air {E}ncoding},author={Hu, Yifan and Liang, Frank and Zhao, Dachuan and Geuter, Jonathan and Reddy, Varshini and Schmidt, Craig W. and Tanner, Chris},booktitle={Tokenization Workshop at ICML},year={2025},url={https://openreview.net/forum?id=1hcu9Vq4Or},}
AISTATS
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
Jonathan Geuter, Clément Bonet, Anna Korba, and David Alvarez-Melis
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS) , 2025
@inproceedings{geuter2025ddeqs,title={{DDEQ}s: {D}istributional {D}eep {E}quilibrium {M}odels through {W}asserstein {G}radient {F}lows},author={Geuter, Jonathan and Bonet, Cl{\'e}ment and Korba, Anna and Alvarez-Melis, David},booktitle={The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)},year={2025},url={https://openreview.net/forum?id=rFfNuzzXXW},}
ICML
Universal Neural Optimal Transport
Jonathan Geuter, Gregor Kornhardt, Ingimar Tomasson, and Vaios Laschos
Forty-second International Conference on Machine Learning (ICML) , 2025
@inproceedings{geuter2025universal,title={{U}niversal {N}eural {O}ptimal {T}ransport},author={Geuter, Jonathan and Kornhardt, Gregor and Tomasson, Ingimar and Laschos, Vaios},booktitle={Forty-second International Conference on Machine Learning (ICML)},year={2025},url={https://openreview.net/forum?id=t10fde8tQ7},}
2023
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
3rd Workshop for Natural Language Processing Open Source Software at EMNLP , 2023
@inproceedings{guenther2023jina,title={{J}ina {E}mbeddings: {A} {N}ovel {S}et of {H}igh-{P}erformance {S}entence {E}mbedding {M}odels},author={Günther, Michael and Milliken, Louis and Geuter, Jonathan and Mastrapas, Georgios and Wang, Bo and Xiao, Han},booktitle={3rd Workshop for Natural Language Processing Open Source Software at EMNLP},year={2023},url={https://openreview.net/forum?id=3HTUlrn6o7},}
2022
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
@mastersthesis{Geuter2022SinkhornNN,author={Geuter, Jonathan},title={{A} {S}inkhorn-{NN} {H}ybrid {A}lgorithm for {O}ptimal {T}ransport},school={Technische Universität Berlin and Weierstrass Institute. },year={2022},}
2020
Nonlinear Korn Inequalities
Jonathan Geuter
Bachelor’s thesis, supervised by Prof. Dr. Barbara Zwicknagl and Dr. Hans-Christian Kreusler , 2020
@techreport{Geuter2020NonlinearKorn,author={Geuter, Jonathan},title={{N}onlinear {K}orn {I}nequalities},institution={Technische Universität Berlin and Humboldt Universität zu Berlin},year={2020},}