影响力指数
论文质量、代表作、近期表现、广度与样本量置信度综合计算
63.1/100
前 4%
全站排名 #2,559
发表论文9 篇
平均评分
年均产出3.0 篇/年
Jonas Hübotter
研究方向
active learning · reinforcement learning · Bayesian optimization · approximate inference · Gaussian processes · fine-tuning · test-time training
22
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
ICLR 2026Poster
一作21
Test-time Offline Reinforcement Learning on Goal-related Experience
ICLR 2026Rejected
三作23
Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning
ICLR 2026Rejected
一作20
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning
NeurIPS 2025Poster
三作15
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
ICLR 2025Poster
一作17
Local Mixtures of Experts: Essentially Free Test-Time Training via Model Merging
COLM 2025Poster
二作11
Active Fine-Tuning of Multi-Task Policies
ICML 2025Poster
二作24
Active Fine-Tuning of Generalist Policies
ICLR 2025Rejected
二作