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
69.65/100
前 2.7%
全站排名 #1,748
发表论文11 篇
平均评分
年均产出3.7 篇/年
David Wipf
研究方向
graph neural networks · generative models · Bayesian inference · sparse estimation
23
Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
ICLR 2025Poster
三作15
Sparse Autoencoders, Again?
ICML 2025Poster
通讯22
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
ICLR 2025Poster
通讯13
Explicit Preference Optimization: No Need for an Implicit Reward Model
ICML 2025Poster
通讯15
Griffin: Towards a Graph-Centric Relational Database Foundation Model
ICML 2025Poster