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
54.98/100
前 6.5%
全站排名 #4,164
发表论文9 篇
平均评分
年均产出4.5 篇/年
Kajetan Schweighofer
研究方向
uncertainty in deep learning · deep reinforcement learning · offline reinforcement learning
14
Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation
ICLR 2026Poster
二作10
Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure
ICLR 2026Poster
二作16
xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity
ICLR 2026Poster
二作19
Uncertainty Quantification for Regression Using Proper Scoring Rules
ICLR 2026Rejected
二作17
The Disparate Benefits of Deep Ensembles
ICLR 2025Rejected
一作28
Improving Uncertainty Estimation through Semantically Diverse Language Generation
ICLR 2025Poster
二作11
The Disparate Benefits of Deep Ensembles
ICML 2025Poster
一作18
Rethinking Uncertainty Estimation in Natural Language Generation
ICLR 2025Rejected
二作12
On Information-Theoretic Measures of Predictive Uncertainty
ICLR 2025Withdrawn
一作