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
55.3/100
前 6.3%
全站排名 #4,078
发表论文11 篇
平均评分
年均产出3.7 篇/年
Tim G. J. Rudner
研究方向
Bayesian deep learning · variational inference · Gaussian processes · AI safety · robustness to distribution shifts
24
Embedding Trust: Semantic Isotropy Predicts Nonfactuality in Long-Form Text Generation
ICLR 2026Rejected
三作25
A Unifying View of Vector, Product and Scalar Quantization: An Information-Theoretic Perspective
ICLR 2026Rejected
通讯18
Insertion Language Models: Sequence Generation with Arbitrary-Position Insertions
ICLR 2026Rejected
32
VQ-Transplant: Efficient VQ-Module Integration for Pre-trained Visual Tokenizers
ICLR 2026Poster
通讯40
Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models
NeurIPS 2025Poster
40
In-Context Learning for Full Bayesian Inference
ICLR 2025Rejected
二作11
Can Transformers Learn Full Bayesian Inference in Context?
ICML 2025Poster
二作27
Pathologies of Out-of-Distribution Detection
ICLR 2025Rejected