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
66.38/100
前 3.3%
全站排名 #2,128
发表论文11 篇
平均评分
年均产出3.7 篇/年
Philipp Hennig
研究方向
Bayesian Optimization · Probabilistic Numerics · Gaussian Processes · Numerical Methods · Stochastic Optimization · Bayesian Deep Learning
10
Linearization Turns Neural Operators into Function-Valued Gaussian Processes
ICML 2025Spotlight
通讯20
Accelerating neural network training: An analysis of the AlgoPerf competition
ICLR 2025Poster
15
Debiasing Mini-Batch Quadratics for Applications in Deep Learning
ICLR 2025Poster
通讯20
Rethinking Approximate Gaussian Inference in Classification
NeurIPS 2025Poster
三作35
Uncertainty-Guided Optimization on Large Language Model Search Trees
ICLR 2025Rejected