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
15.31/100
超过 46.6%
全站排名 #34,370
发表论文3 篇
平均评分
年均产出3.0 篇/年
Florian Sestak
研究方向
Machine Learning · Molecular Dynamics · Generative Modeling · Graph Neural Networks
18
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
NeurIPS 2025Poster
一作23
VN-EGNN: E(3)- and SE(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
ICLR 2025Rejected
一作5
UPT++: Latent Point Set Neural Operators for Modeling System State Transitions
ICLR 2025Withdrawn
二作