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ORCIDJonas Hübotter
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2020 – today
- 2026
[i21]Idan Shenfeld, Mehul Damani, Jonas Hübotter, Pulkit Agrawal:
Self-Distillation Enables Continual Learning. CoRR abs/2601.19897 (2026)- [i20]Jonas Hübotter, Frederike Lübeck, Lejs Behric, Anton Baumann, Marco Bagatella, Daniel Marta, Ido Hakimi, Idan Shenfeld, Thomas Kleine Buening, Carlos Guestrin, Andreas Krause:
Reinforcement Learning via Self-Distillation. CoRR abs/2601.20802 (2026) - [i19]Emre Can Acikgoz, Cheng Qian, Jonas Hübotter, Heng Ji, Dilek Hakkani-Tür, Gokhan Tur:
Tool-R0: Self-Evolving LLM Agents for Tool-Learning from Zero Data. CoRR abs/2602.21320 (2026) - [i18]Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor, Idan Shenfeld, Giorgia Ramponi, Andreas Krause:
Aligning Language Models from User Interactions. CoRR abs/2603.12273 (2026) - [i17]Tim Launer, Jonas Hübotter, Marco Bagatella, Ido Hakimi, Andreas Krause:
Majority Voting for Code Generation. CoRR abs/2604.15618 (2026) - 2025
- [c7]Nicolas Menet, Jonas Hübotter, Parnian Kassraie, Andreas Krause:
LITE: Efficiently Estimating Gaussian Probability of Maximality. AISTATS 2025: 4996-5004 - [c6]Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause:
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs. ICLR 2025 - [c5]Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause:
Active Fine-Tuning of Multi-Task Policies. ICML 2025 - [c4]Bernhard Haeupler, Jonas Hübotter, Mohsen Ghaffari:
A Cut-Matching Game for Constant-Hop Expanders. SODA 2025: 1651-1678 - [i16]Nicolas Menet, Jonas Hübotter, Parnian Kassraie, Andreas Krause:
LITE: Efficiently Estimating Gaussian Probability of Maximality. CoRR abs/2501.13535 (2025) - [i15]Andreas Krause, Jonas Hübotter:
Probabilistic Artificial Intelligence. CoRR abs/2502.05244 (2025) - [i14]Ryo Bertolissi, Jonas Hübotter, Ido Hakimi, Andreas Krause:
Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging. CoRR abs/2505.14136 (2025) - [i13]Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter, Andreas Krause:
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning. CoRR abs/2505.19850 (2025) - [i12]Matthias Otth, Jonas Hübotter, Ido Hakimi, Andreas Krause:
Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning. CoRR abs/2507.18122 (2025) - [i11]Marco Bagatella, Mert Albaba, Jonas Hübotter, Georg Martius, Andreas Krause:
Test-time Offline Reinforcement Learning on Goal-related Experience. CoRR abs/2507.18809 (2025) - [i10]Jonas Hübotter, Patrik Wolf, Alexander Shevchenko, Dennis Jüni, Andreas Krause, Gil Kur:
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models. CoRR abs/2509.24510 (2025) - [i9]Jonas Hübotter, Leander Diaz-Bone, Ido Hakimi, Andreas Krause, Moritz Hardt:
Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning. CoRR abs/2510.04786 (2025) - 2024
- [c3]Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause:
Transductive Active Learning: Theory and Applications. NeurIPS 2024 - [i8]Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause:
Active Few-Shot Fine-Tuning. CoRR abs/2402.15441 (2024) - [i7]Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause:
Information-based Transductive Active Learning. CoRR abs/2402.15898 (2024) - [i6]Marco Bagatella, Jonas Hübotter, Georg Martius, Andreas Krause:
Active Fine-Tuning of Generalist Policies. CoRR abs/2410.05026 (2024) - [i5]Jonas Hübotter, Sascha Bongni, Ido Hakimi, Andreas Krause:
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs. CoRR abs/2410.08020 (2024) - 2023
- [c2]Daniel Widmer, Dongho Kang
, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros:
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization. CoRL 2023: 2444-2464 - [c1]Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause:
Efficient Exploration in Continuous-time Model-based Reinforcement Learning. NeurIPS 2023 - [i4]Daniel Widmer, Dongho Kang, Bhavya Sukhija, Jonas Hübotter, Andreas Krause, Stelian Coros:
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization. CoRR abs/2306.07092 (2023) - [i3]Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dörfler, Andreas Krause:
Efficient Exploration in Continuous-time Model-based Reinforcement Learning. CoRR abs/2310.19848 (2023) - 2022
- [i2]Bernhard Haeupler, Jonas Hübotter, Mohsen Ghaffari:
A Cut-Matching Game for Constant-Hop Expanders. CoRR abs/2211.11726 (2022) - 2021
- [i1]Jonas Hübotter:
Implementation of Algorithms for Right-Sizing Data Centers. CoRR abs/2108.09489 (2021)
Coauthor Index
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