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
55.32/100
前 6.3%
全站排名 #4,072
发表论文10 篇
平均评分
年均产出3.3 篇/年
Hannes Stark
研究方向
Generative Models · Geometric Deep Learning · Machine Learning for Proteins · Machine Learning for Molecular Simulation · Graph Representation Learning
21
ProtComposer: Compositional Protein Structure Generation with 3D Ellipsoids
ICLR 2025Oral
一作24
Think while You Generate: Discrete Diffusion with Planned Denoising
ICLR 2025Poster
15
FreeFlow: Latent Flow Matching for Free Energy Difference Estimation
ICLR 2025Rejected
通讯24
Training on test proteins improves fitness, structure, and function prediction
ICLR 2025Rejected