Jonas Hübotter

According to our database, Jonas Hübotter authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning.

Jonas Hübotter, Leander Diaz-Bone, Ido Hakimi, Andreas Krause, Moritz Hardt

CoRR, October, 2025

Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models.

Jonas Hübotter, Patrik Wolf, Alexander Shevchenko, Dennis Jüni, Andreas Krause, Gil Kur

CoRR, September, 2025

Test-time Offline Reinforcement Learning on Goal-related Experience.

Marco Bagatella, Mert Albaba, Jonas Hübotter, Georg Martius, Andreas Krause

CoRR, July, 2025

Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning.

Matthias Otth, Jonas Hübotter, Ido Hakimi, Andreas Krause

CoRR, July, 2025

DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning.

Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter, Andreas Krause

CoRR, May, 2025

Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging.

Ryo Bertolissi, Jonas Hübotter, Ido Hakimi, Andreas Krause

CoRR, May, 2025

Probabilistic Artificial Intelligence.

Andreas Krause, Jonas Hübotter

CoRR, February, 2025

A Cut-Matching Game for Constant-Hop Expanders.

Bernhard Haeupler, Jonas Hübotter, Mohsen Ghaffari

Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms, 2025

Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs.

Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LITE: Efficiently Estimating Gaussian Probability of Maximality.

Nicolas Menet, Jonas Hübotter, Parnian Kassraie, Andreas Krause

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

2024

Active Fine-Tuning of Generalist Policies.

Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause

CoRR, 2024

Information-based Transductive Active Learning.

Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

CoRR, 2024

Active Few-Shot Fine-Tuning.

Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

CoRR, 2024

Transductive Active Learning: Theory and Applications.

Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Efficient Exploration in Continuous-time Model-based Reinforcement Learning.

Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tuning Legged Locomotion Controllers via Safe Bayesian Optimization.

Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros

Proceedings of the Conference on Robot Learning, 2023

2021

Implementation of Algorithms for Right-Sizing Data Centers.

Jonas Hübotter

CoRR, 2021